Miracle-dz/UniFAR-FTUs huggingface dataset:
Socio-economic impacts of Coronavirus (COVID-19) outbreak on world shrimp aquaculture sector

The COVID-19 pandemic is now spreading throughout the world affecting the agricultural activities including fish and shrimp culture sectors. Most of the shrimp producing countries particularly in South-east Asia have been affected due to the lockdown, quarantine roles and regulations ordered by the countries, which was assigned to reduce and control the COVID-19 pandemic spreading in the globe. The current establishment of the restriction and quarantine roles has significantly reduced the domestic and international transportations that can seriously affect the shrimp supply chain in the world. Further, the labor shortage, delay in shrimp harvesting and insufficient supply for the processing of shrimp in the plants are other impacts due to coronavirus outbreaks. Correspondence S. Kakoolaki, Iranian Fisheries Sciences Research Institute, Agricultural Research, Education and Extension Organization (AREEO), Tehran, Iran (e-mail: bsh443@gmail.com). The impacts of COVID-19 disease on world shrimp aquaculture can be numerous and is varied depending on the several factors. For instance shrimp culture in some countries such as India and Thailand could be seriously affected by insufficient SPF-shrimp broodstocks, labor shortage, transport restrictions, delayed harvesting (results in soft-shell shrimp) and uncertainty in shrimp trade whereas in other regions including Indonesia and Vietnam the Coronavirus-side effects on shrimp industry are relatively low. This review addressed the socioeconomic impacts due to COVID-19 on the shrimp aquaculture sector in 2020.
An assessment of the seascape genetic structure and hydrodynamic connectivity for subtropical seagrass restoration

Seagrass ecosystems have suffered significant declines globally and focus is shifting to restoration efforts. A key component to successful restoration is an understanding of the genetic factors potentially influencing restoration success. This includes understanding levels of connectivity between restoration locations and neighboring seagrass populations that promote natural recovery (source and sink populations), the identification of potential donor populations, and assessment of genetic diversity of restored meadows and material used for restoration. In this study, we carry out genetic surveys of 352 individuals from 13 populations using 11 polymorphic microsatellite loci to inform seagrass restoration activities by: (1) understanding levels of genetic and genotypic diversity within meadows; and (2) understanding genetic structure and patterns of connectivity among these meadows to determine which source sites may be most appropriate to assist recovery of three restoration sites. The study identified high genotypic diversity within the locations analyzed from the Port of Gladstone and Rodd's Bay region, indicating sexual reproduction is important in maintaining populations. Overall, we detected significant genetic structuring among sites with the Bayesian structure analysis identifying genetic clusters that largely conformed to a northern, central, and southern region. This suggests limited gene flow between regions, although there does appear to be some connectivity within regions. The hydrodynamic models showed that seeds were largely locally retained, while fragments were more widely dispersed. Limited gene flow between regions suggests donor material for restoration should be sourced locally where possible.
Denoising Atomic Resolution Hyperspectral Data with Tensor Singular Value Decomposition

Hyperspectral data collected from electron energy loss spectroscopy (EELS), energy dispersive X-ray spectroscopy (EDS), and 4D scanning transmission electron microscopy (4D STEM) 1 are often corrupted by significant noise, giving rise to the need to denoise the data in order to extract useful information regarding the sample. Here we propose a new approach to denoising hyperspectral data by treating it as a noisy tensor and denoising the tensor by searching for a low-rank tensor approximation using tensor
Automated X‐ray inspection method for fillet‐less mounted chip components

Chip components mounted on the printed circuit board are rapidly being miniaturized. Furthermore, the fillet‐less chip soldering technique, which does not use a solder fillet, is widely used in portable products such as mobile phones. However, there is no method to inspect the soldering of fillet‐less chip mounting. In this paper, we propose an automated X‐ray inspection technique for fillet‐less chip mounting. It extracts three inspection parameters from the X‐ray image. In the experiments, we evaluate the repeatability and inspecting ability of the technique and confirm that sufficient information for failure detection is obtained. An automated X‐ray inspection system using this technique is now in operation at some factories, so in conclusion our automated method would be useful in practice. Copyright © 2007 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.
Establishment of the Controlled Low-Strength Desulfurization Slag Prediction Model for Compressive Strength and Surface Resistivity

In this study, the desulfurization slag used the volume method to replace fine natural aggregates in controllable low-strength materials (CLSM); the desulfurization slag content (DS) and curing time (t) were used as variables to test the compressive strength and surface resistivity of CLSM and simulated a prediction model on the results. The test results showed during that the compressive strength on the 28th day, the average desulfurization slag replacement amount increased by 10%, and the compressive strength decreased by 0.9 MPa. The surface resistivity increases with age, and each ratio increases from seven days to 28 days, and the surface resistivity value increases from 9.3% to 20.6%. After that, a hyperbolic function and exponential function with multiple variables were used to establish a simulation model of the effects of the DS content and curing time on the compressive strength and surface resistivity of CLSM. Compared with the test results, the statistical analysis shows that the average absolute percentage error (MAPE) of the compressive strength is 9.17%, and the surface resistivity is 10.67%. From the results, the predictive analysis model developed in this paper provides good predictive results in terms of compressive strength and surface resistivity.
Calibration for Sample-And-Hold Mismatches in M-Channel TIADCs Based on Statistics

Time-interleaved analog-to-digital converter (TIADC) is a good option for high sampling rate applications. However, the inevitable sample-and-hold (S/H) mismatches between channels incur undesirable error and then affect the TIADC’s dynamic performance. Several calibration methods have been proposed for S/H mismatches which either need training signals or have less extensive applicability for different input signals and different numbers of channels. This paper proposes a statistics-based calibration algorithm for S/H mismatches in M-channel TIADCs. Initially, the mismatch coefficients are identified by eliminating the statistical differences between channels. Subsequently, the mismatch-induced error is approximated by employing variable multipliers and differentiators in several Richardson iterations. Finally, the error is subtracted from the original output signal to approximate the expected signal. Simulation results illustrate the effectiveness of the proposed method, the selection of key parameters and the advantage to other methods.
MMLSTOGI based control for suppression of current harmonics in PV‐tied grid

In a photovoltaic array (PVA) tied grid system, PVA and the grid are connected at AC bus (ACB) to feed the power to the grid and the load connected locally at the ACB. The photovoltaic energy conversion system (PVECS) requires an improved dynamic controller to control the grid voltage harmonics under variable solar power and nonlinear unbalanced load conditions. The conventional filtering controllers are unable to remove the sub-harmonics and DC-offset in the input signal. Moreover, their attenuation for the dominant lower order harmonics is unsatisfactory for unbalanced loading conditions and highly nonlinear loads. A MMLSTOGI (mixed multi-level second and third order generalized integrator) based control is used in this work. It effectively mitigates the dominant lower-order harmonics and the DC-offset of load currents and extracts their in-phase and quadrature-phase fundamental components (FCs). The PVA is connected at ACB through interfacing voltage source converter (VSC). The DC-link voltage is ascertained by generating its reference value using an incremental conductance (InC) based maximum power point tracking. The PVA power is feed-forwarded in the control to enhance the dynamics of the system. The control is validated on a developed model in MATLAB SIMULINK background, and using a developed prototype.
Partitioning instantaneous degrees-of-freedom and its application to three-degrees-of-freedom parallel manipulators

In general, a rigid body moving in space can possess three translational and three rotational degrees-of- freedom. In many situations, the motion of the rigid body is constrained, and therefore has less than six-degrees-of- freedom. In such cases, it is often important to understand how the degrees-of-freedom are distributed between pure translation and pure rotation. In this paper, we present a general approach towards the partitioning of the available instantaneous degrees-of-freedom for the constrained mo- tion of rigid-bodies. The approach is based on computing the eigenvalues and eigenvectors of certain matrices asso- ciated with the instantaneous motion of a rigid body. The eigenvalue problem involves the solution of at most a cubic polynomial, and hence the eigenvalues can be obtained in closed form in all the cases. The approach is applied to several well known three-degrees-of-freedom spatial paral- lel manipulators. It is well-known that parallel manipula- tor can gain one or more degrees-of-freedom at a gain-type singularity. The general approach is also applied to deter- mine if the gained degree(s)-of-freedom are in translational or rotational in nature.
Numerical Study of the Turbulent Flow from a Steam Dumping Pressurizer Relief Tank

Due to the complex geometry and turbulent flow characteristics, it is hard to simulate the process of steam dumping of the pressurizer relief tank (PRT). In this study, we develop a compressible fluid solver PRTFOAM to numerically study the turbulent flow dynamics from a PRT. The PRTFOAM is implemented based on the OpenFOAM and designed to be capable of integrating various turbulence models. Two representative Reynolds-averaged Navier–Stokes (RANS) models and a Smagorinsky–Lilly SGS model based on Large Eddy Simulation (LES) are coupled and tested with PRTFOAM. The case of a flow past a circular cylinder (Re = 3900) is tested and analyzed comprehensively as a benchmark case. Then, the turbulent steam dumping process in the full geometry of a PRT is analyzed and compared with ANSYS CFX and literature reports. In addition, we tested the WALE model based on the PRT steam dumping process. The results show that SST k-ω model and Smagorinsky–Lilly SGS model-based LES approach are more appropriate than the LRR model for PRT simulations. Moreover, it shows that the simulation results of Smagorinsky–Lilly SGS model and WALE model are basically consistent under the condition of PRT steam dumping process. Under this condition, the drawbacks of Smagorinsky–Lilly SGS model are not obvious. Furthermore, the comparison with CFX showed that our open source solver could be used to obtain better results in complex engineering cases. The design and testing results would provide guidance for further analysis of thermal-hydraulics in reactors based on open source codes.
Determinants of Residents’ Word-of-Mouth Behaviour and Support for Tourism

This research explores residents’ support for tourism by introducing—for the first time—the variable of residents’ word-of-mouth intention. The tested model proposes that residents’ support for tourism is influenced by residents’ word-of-mouth and tourism benefits; the model also examines the impacts of community attachment and community involvement on the benefits of tourism. The relationship between tourism benefits and residents’ word-of-mouth is the most significant indication of the tested model, followed by the linkage between tourism benefits and support for tourism. Besides this, the positive and significant effect of residents’ word-of-mouth on their support for tourism has been proven. The results stress the need for increased focus on the benefits of tourism by increasing community attachment, as they reveal that more attached residents lead to more positive perceptions of the benefits of tourism, consequently having a higher effect on their word-of-mouth intention and support for tourism.
Broadband World Modeling and Scene Reconstruction

Perception is a key feature in how any creature or autonomous system relates to its environment. While there are many types of perception, this thesis focuses on the improvement of the visual robotics perception systems. By implementing a broadband passive sensing system in conjunction with current perception algorithms, this thesis explores scene reconstruction and world modeling. The process involves two main steps. The first is stereo correspondence using block matching algorithms with filtering to improve the quality of this matching process. The disparity maps are then transformed into 3D point clouds. These point clouds are filtered again before the registration process is done. The registration uses a SAC-IA matching technique to align the point clouds with minimum error. The registered final cloud is then filtered again to smooth and down sample the large amount of data. This process was implemented through software architecture that utilizes Qt, OpenCV, and Point Cloud Library. It was tested using a variety of experiments on each of the components of the process. It shows promise for being able to replace or augment existing UGV perception systems in the future.
Cross-Language Phonetic-Search for Keyword Spotting

Phonetic-search is a method used to enable fast search of spoken keywords within large amounts of audio recordings. The phonetic search process consists of two stages – the indexing phase, where a phonetic lattice is constructed, and the search phase, where keywords are searched in this lattice. The performance of phonetic search systems is highly sensitive to the accuracy of the phonetic recognition, and therefore acoustic model training requires substantial amounts of audio and linguistic resources. Recently, there is a growing demand for applications that require support for keyword spotting in many different languages, including under-resourced languages. Supporting such languages, however, poses a substantial challenge for phonetic-search, since achieving merely reasonable performance requires a lot of training data. In the current research presented here, we propose methods for supporting a new language (the target language), while coping with limited resources, by using existing acoustic models of another language (the source language). In the indexing phase, acoustic models of the source language are used to generate phonetic lattices. Then, the search for keywords in the target language is performed over the recognized lattices. The search is performed by using a crosslanguage phonetic mapping between the target and source language phonemes. This paper presents methods for crosslanguage phonetic-search configurations, which depend on the amount of target language available data. Phonetic-search experiments were performed on Spanish as a target language and using American-English and Levantine Arabic as source languages. Results are compared to standard monolingual acoustic modeling in Spanish and show that it is possible to achieve reasonable applicable accuracy for retrieval of spoken words using different combinations of phonetic mappings. Keyword-spotting; phonetic-search; under-resourced languages
METAMORPHISM OF ULTRAMAFIC CLASTS FROM CONICAL SEAMOUNT : SITES 778 , 779 , AND 780 1

The Mariana arc-trench system, the easternmost of a series of backarc basins and intervening remnant arcs that form the eastern edge of the Philippine Sea Plate (Fig. 1), is a well-known example of an intraoceanic convergence zone. Its evolution has been studied by numerous investigators over nearly two decades (e.g., Kang, 1971; Uyeda and Kanamori, 1979; LaTraille and Hussong, 1980; Fryer and Hussong, 1981; Mrosowski et al., 1982; Hussong and Uyeda, 1981; Bloomer and Hawkins, 1983; Karig and Ranken, 1983; McCabe and Uyeda, 1983; Hsui and Youngquist, 1985; Fryer and Fryer, 1987; Johnson and Fryer, 1988; Johnson and Fryer, 1989; Johnson et al., 1991). The Mariana forearc has undergone extensive vertical uplift and subsidence in response to seamount collision, to tensional and rotational fracturing associated with adjustments to plate subduction, and to changes in the configuration of the arc (Hussong and Uyeda, 1981; Fryer et al., 1985). Serpentine seamounts, up to 2500 m high and 30 km in diameter, occur in a broad zone along the outer-arc high (Fryer et al., 1985; Fryer and Fryer, 1987). These seamounts may be horsts of serpentinized ultramafic rocks or may have been formed by the extrusion of serpentine muds. Conical Seamount, one of these serpentine seamounts, is located within this broad zone of forearc seamounts, about 80 km from the trench axis, at about 19°30'N (Fig. 2). The seamount is approximately 20 km in diameter and rises 1500 m above the surrounding seafloor. Alvin submersible, R/V Sonne bottom photography, seismic reflection, and SeaMARC II studies indicate that the surface of this seamount is composed of unconsolidated serpentine muds that contain clasts of serpentinized ultramafic and metamorphosed mafic rocks, and authigenic carbonate and silicate minerals (Saboda et al., 1987; Haggerty, 1987; Fryer et al., 1990; Saboda, 1991).
Physiological Response of Some Wheat Cultivars to Antitranspirant under Different Irrigation Treatments

Less than 5% of the water absorbed by roots is used for crop growth and development; the remaining 95% is transpired. Antitranspirants are exogenous substances applied to plant leaves to reduce transpiration by regulating stomatal conductance, thus, by understanding effect of film-forming antitranspirants on the physiological traits of wheat (Triticum aestivum L.), we can alleviate the adverse effects of shortage water and leading to improve the wheat growth and yield. The current study included six wheat cultivars (Gemeza 9, Gemeza 11, Sakha 93, Sakha 94, Sids 1 and Masr 1), two antitranspirants treatments (without (spray with tap water) and spray with glycerol at 4%) and three irrigation treatments (I1 is normal irrigation during growth season excluding planting irrigation, I2 is irrigation was escaped during tillering stage, and I3 is irrigation was escaped during tillering and heading stages, respectively), through the growing seasons 2015/2016 and 2016/2017, in Agric. Expt. Farm, Fac. of Agric. , Ain Shams Univ. at Shalakan, Kaleobia Governorate, Egypt. The following physiological traits; electrolyte leakage percentage (EL%), membrane stability index (MSI%), relative water content (RWC), Chlorophyll a, chlorophyll b, total chlorophyll, chlorophyll a/b ratio were studied. The results revealed that significant increases in the studied physiological traits were recorded except with EL% by exposing wheat cultivars to normal irrigation in comparison with the I2 and I3 irrigation treatments. The antitranspirants caused significant increases in the studied physiological traits for all cultivars except with EL%. In addition, the response of the six wheat cultivars were not the same under the three irrigation treatments as well as with and without the application of antitranspirants.
BIOMECHANICAL ANALYSIS OF MIXED CLIMBING PERFORMANCE

Mixed climbing is a unique style of climbing that consists of ascending rock and ice features using ice climbing equipment. Despite the growing popularity of mixed climbing, there is a lack of knowledge regarding the relationship between climbers’ biomechanics and performance. The purpose of this study was to conduct a biomechanical analysis of climbers during an international high-level mixed climbing competition. In total 24 climbers participated in this study (16 male, 8 female; age: 36 + 6.2 years; weight: 69.1 + 9.6 kg; height: 176.5 + 8.8 cm). Video data was recorded during the mixed climbing competition and biomechanical analysis software was used to measure spatiotemporal (time climbing/resting, number of moves/rests) and kinematic variables (shoulder and elbow angles) throughout the competition route. Independent t-tests were used to examine differences between advanced (bottom 50% of competitors) and elite (top 50% of competitors) climbers, and a correlation matrix was assessed the strength of the relationship between the measured variables. We found that elite climbers moved significantly faster and used less moves than advanced climbers, and there was a high correlation between elbow and shoulder angles, indicating that climbers rely on more extended arm positions to decreases muscle fatigue.