Miracle-dz/UniFAR-FTUs huggingface dataset:
Impact of Ectoparasites on Length-Weight Ratio and Condition Factor of Cultured Fish Species in the West Region of Cameroon

Aims: This study aims to analyse the effect of ectoparasite infections on length-weight relationships and condition factor of cultured fishes in the West region of Cameroon. Study Design: A stratified cross-sectional study was used to select fish farms and individual fish per farm. Place and Duration of Study: Fish farms in the West region of Cameroon between December 2018 and December 2019. Methodology: Sampled fishes were identified and examined from ectoparasites and pathologies according to standard procedures. Their lengths and weights were measured to determine their Original Research Article Ngueguim et al.; AJRAVS, 6(4): 41-53, 2020; Article no.AJRAVS. 62720 42 length-weight relationships and condition factors. A total of 2254 fishes (692 Clarias gariepinus, 969 Oreochromis nilotichus, 593 Cyprinus carpio) were sampled. Results: Overall, 34.87% of the sampled fishes were infected with ectoparasites (O. niloticus (34.37%), C. carpio (37.10%) and C. gariepinus (33.67%)). The prevalence rates were significantly influenced by size (P=0.001, X2=10.59) and weight (P<0.0001, X2=32.24) and negative allometric growth patterns (b < 2) were observed irrespective of the parasitic status of the fishes. Though the mean condition factor ranged from 1.07 to 3.01 throughout in the study according to species, sex and season and ectoparasite status of the fish, significantly higher (P<0.05) condition factors were observed for male fishes, fishes harvested during the dry season and uninfected fishes compared to female fishes, fishes harvested during the rainy season and infected fishes. Among the infected fished, the highest (p<0.05) condition was recorded in O. niloticus followed by C. carpio and C. gariepinus. Conclusion: The study revealed that ectoparasite infection significantly influence length-weight relationships and condition factor of cultured fishes in the west region of Cameroon. Irrespective of parasitic status, there was relationship between body weight and length of fish. The control of ectoparasite infection of cultured fishes is vital for improved conditions, health and production yields in fishery sectors in Cameroon.
Interplay between surfactant self-assembly and adsorption at hydrophobic surfaces: insights from dissipative particle dynamics

ABSTRACT We study the self-organisation of aqueous surfactants in bulk phase, and the adsorption and self-organisation of the aqueous surfactants at a planar hydrophobic surface by dissipative particle dynamics. Nonionic surfactants, n-alkyl poly(ethylene oxide) C E , and water are coarse-grained into mesoscopic beads comprising 1–3 heavy atoms and two water molecules, respectively. The size of the mesoscopic beads is related to the molar volume of the underlying molecular fragments while the bead–bead interaction parameters are calibrated against the water-octanol partition coefficients. We focus on the C E , C E , C E , and C E surfactants in water that form spherical micelles in the bulk. The bulk micellization is primarily affected by the alkyl tail length which is demonstrated by an order of magnitude decrease in the critical micelle concentration when going from the aqueous C E to aqueous C E solutions. Surfactants strongly adsorb on the hydrophobic surface, adopting lying-down configurations and forming hemispheres which are in equilibrium with the spherical micelles in the bulk. In contrast to the bulk phase, the surfactant adsorption behaviour is influenced by both the alkyl tail and head chain lengths. GRAPHICAL ABSTRACT
Simulation of shock induced vapor condensation flows in the Lennard-Jones fluid by microscopic and continuum models

The vapor condensation onto a thin liquid film, induced by the reflection of a weak shock wave, is studied by molecular dynamics atomistic simulations of a simple Lennard-Jones fluid. Molecular dynamics results provide reference flowfields for two models. The first one adopts a hybrid continuum-kinetic description in which the liquid phase is described by hydrodynamic equations, whereas the vapor is described by the Boltzmann equation. The structureless liquid–vapor interface is replaced by a classical kinetic boundary condition. The second model is based on the diffuse interface full continuum description of the Lennard-Jones fluid liquid, vapor, and interface regions. For both models, the required fluid thermodynamic and transport properties have been prescribed according to those of the Lennard-Jones fluid. Not unexpectedly, the results show that the continuum-kinetic model provides a good description of molecular dynamics results when the vapor is close to ideal conditions, increasingly deviating from reference data when the vapor non-ideality increases. The opposite behavior is found for the diffuse interface model. It is observed that flow conditions exist where both models fail to provide a reasonably accurate description of reference flow properties.
On learning based compressed sensing for high resolution image reconstruction

Compressed sensing (CS) or compressive sampling has shown an enormous potential to reconstruct a signal from its highly under-sampled observations. A high dimensional image processing system can adopt the CS paradigm to reduce the storage and the transmission burden. However, a large sensing system (matrix) is required to capture high dimensional images. The CS reconstruction algorithms demand heavy computational requirement due to the use of large sensing matrix. It sometimes becomes impractical to implement a sensing system of the desired size due to the limited access to the CPU memory. To address this issue, the present work proposes a deep learning based CS framework that uses a convolutional neural network to enable capturing of a high dimensional image by utilizing a multi-layer subsampling and ﬁltering operations. The proposed approach uses another convolutional neural network that reconstructs the original image without depending on the sensing network at a signiﬁcantly reduced computational cost. Extensive simulation results show that the proposed method reconstructs a high dimensional image with an improved PSNR value by 1 . 5 ± 0 . 63 dB, SSIM value by 0 . 04 ± 0 . 02 and FSIM value by 0 . 02 ± 0 . 02 compared to the other state-of-the-art methods in less than 1.4 seconds.
Electrophysical Properties of ZnAs 2 and CdAs 2 at Hydrostatic Pressure up to 9 GPa

Specific electroresistance and Hall coefficient on oriented ZnAs 2 and CdAs 2 single crystals in the region of room temperatures at hydrostatic pressure up to 9 GPa were measured. In p -ZnAs 2 specific electroresistance falls for one order of magnitude with the increase of pressure, and Hall coefficient falls for two orders in magnitude, and at P =7 GPa specific electroresistance and Hall coefficient come out to a saturation. Under mentioned conditions the phase transition in investigated p -ZnAs 2 samples was not observed, in all probability it occurs under the pressure P >10 GPa. Two groups of n -CdAs 2 samples oriented on [1 0 0] and [0 0 1] directions were investigated. The reversible structural phase transition was observed in investigated n -CdAs 2 samples at P =5.5 GPa from the dependencies of specific electroresistance 𝜌 ( P ) and Hall coefficient R H ( P ). On the basis of the values of concentrations and mobilities before and after phase transition a conclusion was made that semiconductor-semiconductor transition takes place in n -CdAs 2 . Maxima that earlier weren't observed, were detected on dependencies 𝜌 ( P ), R H ( P ) at P =1.8 GPa and at P =3 GPa.
Roles of the Acidity and Basicity of the Solvent in the Solvent Effect Observed in the Absorption Spectra of Certatn Types of Schiff Bases

Abstract A study was made of the solvent effects observed in the absorption spectra of N-(2-hydroxy-1-naphthylidene)anilines, N-(2-hydroxybenzylidene)amines and N-(4-hydroxybenzylidene)aniline in various solvents. It was established that the logarithm of the constant describing the equilibrium enol ⇔ keto tautomer correlates closely with the parameters EN T and BKT characteristic of the acidity or basicity of the solvents.
Multi-Temporal Mapping of Soil Total Nitrogen Using Google Earth Engine across the Shandong Province of China

Nitrogen plays an important role in improving soil productivity and maintaining ecosystem stability. Mapping and monitoring the soil total nitrogen (STN) content is the basis for modern soil management. The Google Earth Engine (GEE) platform covers a wide range of available satellite remote sensing datasets and can process massive data calculations. We collected 6823 soil samples in Shandong Province, China. The random forest (RF) algorithm predicted the STN content in croplands from 2002 to 2016 in Shandong Province, China on the GEE platform. Our results showed that RF had the coefficient of determination (R2) (0.57), which can predict the spatial distribution of the STN and analyze the trend of STN changes. The remote sensing spectral reflectance is more important in model building according to the variable importance analysis. From 2002 to 2016, the STN content of cropland in the province had an upward trend of 35.6%, which increased before 2010 and then decreased slightly. The GEE platform provides an opportunity to map dynamic changes of the STN content effectively, which can be used to evaluate soil properties in the future long-term agricultural management.
COVID-19 resilience and neuroscience

Lately, neuroscience has proven key in providing scientific answers to research conducted in other disciplines. Resilience, from the point of view of neuroscience, takes on a new meaning due to the lockdown experienced under the COVID-19 pandemic. This article is the result of an investigation carried out during confinement in Spain, Mexico and Chile. It shows the preliminary results of the analysis of stress risk factors and resilience in neuroscience, identifying possible stress risk factors using socio-demographic data. A descriptive, cross-sectional, correlational and comparative study was conducted in a sample of 784 participants. The Connor-Davidson Resilience Scale (CD-RISC10) was used to identify resilience traits. The findings reveal a non-significant result among the countries, but statistically significant results in the level of education variable, which is associated with cognitive flexibility. The possible stress risk factors did not evince significant results. Thus, promoting resilience at an early age comes as a relevant finding. As argued by epigenetics, to immerse oneself in contexts where meaningful bonds are promoted, is essential to improve vital processes such as resilience and prevent potential stress risk factors.
Modelagem Térmica de Transformadores de Potência Baseada em um Sistema Fuzzy Evolutivo Set-Membership Gaussiano Multivariado

Neste trabalho é apresentado um novo sistema fuzzy evolutivo baseado no conceito de filtragem Set-Membership e no agrupamento Gaussiano Multivariado para a modelagem térmica de transformadores de potência. Este novo sistema, denominado Set-Membership evolutivo Gaussiano Multivariado, atua ajustando a taxa de aprendizagem no sistema de modelagem fuzzy evolutivo, limitando assim o erro durante o processo de aprendizagem, o que reduz a complexidade computacional do modelo. A fim de comprovar a eficácia do modelo proposto testes experimentais foram realizados com dados obtidos de um transformador real para diversas condições de carregamento. Comparações com abordagens alternativas, evolutivas e não evolutivas, sugeridas na literatura mostraram que o modelo proposto obteve melhor desempenho e apresenta um número competitivo de regras, sugerindo ser uma abordagem flexível e eficiente na solução do problema proposto.
Analysis of the Railway Accident-Related Damages in South Korea

Railway accidents are critical issues characterized by a large number of injuries and fatalities per accident due to massive public transport systems. This study proposes a new approach for evaluating the damages resulting from railway accidents using the two-part models (TPMs) such as the zero-inflated Poisson regression model (ZIP model) and the zero-inflated negative-binomial regression model (ZINB model) for the non-negative count measurements and the zero-inflated gamma regression model (ZIG model) and the zero-inflated log-normal regression model (ZILN model) for the semi-continuous measurements. The models are employed for the evaluation of the railway accidents on Korea Railroad, considering the accident damages, such as the train delay time, the number of trains delayed and the cost of considering the accident count responses, for the period 2008 to 2016. From the results obtained, we found that the human-related factors, the high-speed railway system or the Korea Train Express (KTX) and the number of casualties, are the main cost-escalating factors. The number of trains delayed and the amount of delay time tend to increase both the probability of incurring costs and the amount of cost. For better evaluation, the railway accident data should contain accurate information with less recurrence of zeros.
Evaluation partial substitution of fresh forage with silage on dairy milk production in Kunak which added palm kernel meal and Gracilaria sp on daily feed

Kunak is the biggest community for a traditional dairy cattle farmer in West of Java. Providing good qualities and quantities of forage continuously in a year for ruminants, still be one problem in this community caused by different forage production between the dry season and rainy season. High forage production in the rainy season could be stored as silage to provide forage requirement in the dry season. These research examined in 2 experiments. The first experiment aimed to determine the effect partial-substitute of fresh forage uses grass silage on the quantities and qualities of daily milk production. The second experiment aimed to determine the quantities and qualities of dairy cattle milk production, affected by adding Gracilaria sp (GS) on partial-substitute of fresh forage uses grass silage and palm kernel-meal (S-PKM) on daily feed. These research uses complete randomized design divided into two treatments (to substitute as much as 0% and 10.08% Dry matter of fresh forage with grass silage) with five replications on the first experiment and three treatments (0%S-PKM-0%GS; 19.51%S-PKM-0%GS; 15.03%S-PKM-2.03%GS) with three replications on the second experiment. The results showed that substituting as much as 10.08% DM of fresh forage uses grass silage does not affect the feed intake (11.56-11.98 Kg DM/head/day), Feed Digestibility (59.37-63.45%), milk protein-production (0.36-0.37 Kg/head/day), milk fat-production (0.54-0.58 Kg/head/day), daily milk production (12.36-12.67 Kg/head/day) in the first experiment. Feed intake (Kg DM /head/day), milk protein-production (Kg/head/day), milk fat-production (Kg/head/day), and daily milk production (Kg/head/day) increase with added 15.03%S-PKM-2.03%GS in the second experiment.
Experimental study of permeability and elastic modulus of plastic concrete containing nano silica

Cut off walls are used under dams for the control of sub surfaces seepage and permeability of cut off wall was important. In the construction of cut off walls, plastic concrete is used and the amount of plastic concrete permeability is important. In this study, the permeability of plastic concrete was investigated and the effect of replacing nano silica instead of cement to reduce permeability was studied. So in this research, compressive strength, elastic modulus, and permeability parameters of plastic concrete specimens at different ages (7, 14, 28, and 56 days) and with different percentages of nano silica (0, 1.5, 3, 4.5, and 6%) were investigated. Also, scanning electron microscopy was used to investigate the effect of nano silica on plastic concrete specimens. The results show that as the age of the specimens increases, the compressive strength and elastic modulus increase, and the permeability of the plastic concrete decreases. Also, by adding nano silica to plastic concrete, the compressive strength of the plastic concrete increases and the plastic concrete permeability decreases significantly while its elastic modulus is almost constant.
Analysis of urinary N‐acetyl‐β‐D‐glucosaminidase using 2,4‐dinitrophenyl‐1‐thio N‐acetyl‐β‐D‐glucosaminide as the substrate

2,4‐Dinitrophenyl‐1‐thio N‐acetyl‐β‐D‐glucosaminide was examined as a new substrate for analyzing the level of N‐acetyl‐β‐D‐glucosaminidase in the urine of patients suffering from renal diseases. The analysis is based on the fact that the substrate, when hydrolyzed in the presence of N‐acetyl‐β‐D‐glucosaminidase, liberates 2,4‐dinitrothiophenol as the chromogen. The optimum pH for the enzyme reaction is 4.6, which is covered by the optimal range for the UV absorbance of the chromogen. The first‐order rate of increase of the absorbance at this pH was linear to the enzyme concentration up to 600 U/L, with a high sensitivity. Analytical reagents with glucosaminides of 2,4‐dinitrophenol and 2‐chloro‐4‐nitrophenol are less stable than the reagent with glucosaminide of 2,4‐dinitrothiophenol. The optimum pH for the absorbance of p‐nitrophenol and 2‐chloro‐4‐nitrophenol does not match that for the enzyme reaction. J. Clin. Lab. Anal. 17:127–131, 2003. © 2003 Wiley‐Liss, Inc.
Negotiation of native linguistic ideology and cultural identities in English learning: a cultural schema perspective

ABSTRACT Despite the proven benefits of combining target language education with corresponding cultural studies, little is known about the impact of infusing and integrating native culture and ideology into English as a Foreign Language (EFL) education. Few studies focus on how Chinese English language learners (ELLs) negotiate multifaceted identities in English classes in which native oriental culture and philosophical values are deeply embedded. Situated within a tertiary-level English classroom located in southeastern China, this article explores how Chinese ELLs negotiate linguistic ideology and construct cultural identity during their English learning. Qualitative analysis of the data reveals that students experience cultural capital enrichment with an increasing capability to tell Chinese stories worldwide in English, while at the same time experiencing a clash of ideological struggles and multilayered identity construction. The findings have significant implications for understanding the role of cultural capital, linguistic ideology, and identity construction in EFL teaching and learning, and for the global spread of teaching English to speakers of other languages (TESOL).
Approaches to Instructional Leadership: Organizational Influences in Contexts of (Mis)match

Instructional leadership efforts are complicated when leaders and teachers do not share areas of expertise. Leaders work to bridge this divide through a number of approaches, such as collaboration with specialist personnel and the development of leadership content knowledge (LCK). The purpose of this study was to explore the organizational factors that help shape the ways school leaders enact instructional leadership when supervising in areas of (mis)match. Interviews with n = 31 teachers and school leaders indicated that organizational factors influenced the ways in which leaders understood and enacted their roles related to instructional supervision. Evidence also suggested the presence of organizational structures that could be reframed as robust, intentional supports to help school leaders develop LCK.
Model-based image quality optimization for submicron direct laser writing

Direct Laser Writing (DLW) is widely used in microelectronics, especially in the fabrication of masks. However, due to the limitation of the laser beam, the traditional DLW method without correction or modification is no longer sufficient for the advanced technology nodes. This paper introduces research on the DLW energy simulation model and how to use it to optimize the designed pattern and demonstrates a solution that can intuitively improve the image quality of DLW. In this simulation, patterns of 300 nm line width (600 nm pitch) can be written with a relatively high image log slope. The laser spot diameter is 0.8 µm, and the wavelength is 442 nm. Besides, this model can also be used in correcting corner and edge distortion. Undoubtedly, the improvement of the quality and yield of the traditional DLW can bring great help to the field of microelectronics manufacturing and other fields that are related to DLW.
Robustly coordinated operational scheduling of a grid‐connected seaport microgrid under uncertainties

The modern seaport system is becoming more electriﬁed by integrating energy storage system, offshore renewable energy sources (RESs), and shore-to-ship power supply system. The energy management and operational scheduling aim to maximise the proﬁt gain by transacting energy with the main grid, reduce the operation cost while minimising the emission at seaport territory. This work proposes a robustly coordinated operational scheduling method of a seaport microgrid as a grid-integrated energy hub under uncertain renewable energy sources power output and load demand. In the day-ahead operation planning, generators, unit commitment and shore-to-ship load schedules are optimised. To address the uncertainty in the renewable energy sources, the day-ahead operation planning is modelled as a two-stage robust optimisation model with conﬂicting objectives and solved with the column and constraints generation algorithm. These results are used as input parameters for the hour-ahead generation scheduling in the following day. With uncertainty realisation, a shorter time horizon with higher time resolution deterministic optimisation is carried out for the generation dispatch. The proposed method is veriﬁed with the IEEE-33 bus distribution network with different uncertainties sets. The simulation results have veriﬁed the robustness and effectiveness of the method in dealing with uncertainties. Coordination between day-ahead and hour-ahead not only improves the accuracy and performance of the ﬁnal dispatch result but also meets
Direct-Torque-Control Fault-Tolerant Strategies for Three Induction Motor Drive Systems Operating Under Single-Phase Open-Circuit Fault

This paper discusses Direct-torque-control(DTC)-based fault-tolerance strategies applied to three fault-tolerant induction motor drive systems when they operate under singlephase open-circuit fault. Despite the fact that these drive systems have already been discussed in the literature, the reported papers always make use of Field-oriented-control(FOC)-based fault compensation strategies. In this way, performed simulations show that DTC-based strategies are feasible and are able to provide circular flux trajectory, which is the necessary condition for the motor operate properly.