Miracle-dz/UniFAR-FTUs huggingface dataset:
A Study of Parastes of Three Imported Ornamental Fishes Conducted in Limpopo Province, South Africa †

Invasive alien species pose a significant threat to biodiversity in the area where they have been introduced. In South Africa, most of ornamental fishes sold are imported from other countries. The parasites of alien species can be transported along with their hosts and become co-invasive. An invasive parasite from Asia, Camallanus cotti was reported in Africa for the first time in the year 2017 from the guppy, an ornamental fish which established a feral population. This is proof that ornamental fish may introduce alien parasites. Three ornamental fish species were imported (Red rainbowfish, pearl gourami and clown loach) from Indonesia. Standard methods were used for the dissection of fish, examination, fixation and preservation of parasites. The prevalence and mean intensity of different parasites of each fish species were determined and they were identified to genus and species level where possible. Nematodes (Camallanus cotti and Procamallanus sp), cestodes (Neogryporhynchus cheilancristrotus and Dendrouterina herodiae), a copepod (Lernaea cyprinacea) and monogeneans were found from the imported fishes. Two new species of monogeneans (here named Ancyrocephalidae sp. 1 and Ancyrocephalidae sp. 2) not belonging to any established genus were discovered. Cestodes were only found from pearl gourami and the copepod from red rainbowfish. The clown loach had no parasites. Red rainbowfish had the highest prevalence and mean intensity for mongeneans and nematodes.
EFFECT OF DIFFERENT PROCESSING METHODS ON THE NUTRITIONAL COMPOSITION AND ANTINUTRITIONAL FACTORS OF PEANUT MILK

Comparative effects of different processing methods like blanching, soaking, roasting and germination methods on nutritional composition and antinutritional factors in peanut milk were investigated. Local and CO 6 peanut varieties were selected for peanut milk preparation and subjected to different processing methods. Peanut milk was extracted from fresh (control), blanched (2 mins), soaked (3 hrs), roasted (roasting 5 mins followed by soaking 3 hrs) and germinated (8 hrs) peanuts. Peanuts were washed, ground, slurry separated, filtered, homogenized, double pasteurized and stored. Different processing methods influenced the nutritional composition of local and CO 6 variety peanut milk. The nutritional composition like total solids, protein, fat, calcium and iron content of the different processed peanut milk were analyzed. The total solid content of the peanut milk does not change in soaking (13.98 and 15 g/ 100 mL), germination method (13.99 and 15.26 g/100 mL), less reduction in roasting method (13.96 and 15.20 g/ 100 mL), more significant reduction in blanching method (12.36 and 13.97 g/ 100 mL) in local and CO 6 variety of peanut milk respectively were recorded. Protein content was increased in germination ((6.1 and 6.4 g/ 100 mL), soaking (6.0 and 6.3 g / 100 mL), roasting method (5.6 and 5.8 g / 100 mL) and reduction in blanching method (4.1 and 5.0 g / 100 mL) in local and CO 6 variety peanut milk respectively. Fat content was significantly reduced in control (3.82 and 3.54 g / 100 mL), blanching method (3.63 and 3.32 g / 100 mL), soaking method ( 3.80 and 3.55 g/ 100 mL) and germination method (3.60 and 3.50 g/ 100 mL) in local and CO 6 variety peanut milk. Calcium and iron content was greatly reduced in blanching and lesser reduction in roasting method. Antinutritional factors like phytic acid, tannin, trypsin inhibitor, oxalate and phenol was greatly reduced in roasting and germination methods. It was observed that the nutritional properties were highly conserved and the antinutritional factor was greatly reduced in the roasting method.
Building the resilience of Italy’s agricultural sector to drought

Increasingly frequent and severe droughts are threatening Italy’s agricultural sector. With climate change forecast to accelerate these trends, the sector must build long-term resilience. This will require better planning and preparing for, absorbing the impact of, and recovering from droughts, as well as more successfully adapting and transforming in response to these events. Recent positive developments include improved data collection on water supplies and agricultural damage and loss from natural hazards to better inform water management and investment decisions; strengthened commitment to ex ante risk management frameworks; and more participatory approaches for water management. Nevertheless, the agricultural policy portfolio currently underemphasises investments in on-farm preparedness and adaptation, in favour of coping tools such as insurance. Further efforts to build agricultural resilience could benefit from a holistic, long-term sectoral risk management strategy; an evaluation of the trade-offs between spending on risk coping tools versus investments in natural hazard preparedness and measures to mitigate their impacts; and more explicit consideration of farmer demographics and capacities in policy design.
AFRICAN TRADITIONAL RELIGION AND NATURAL RESOURCE MANAGEMENT: THE ROLE OF TOTEMS AND DEITY WORSHIP IN GHANA

Purpose: The exploitative tendencies of human activities have hugely hampered the environment, diversely. To that end, the international community has adopted several devices that are mainly anchored on law, ethics and religious doctrines to address the challenges. This paper looks at the relevance of religion towards environmental conservatism. In that regard, the main objective of the study was to ascertain how Traditional African Religious practices, in particular totemism and deity worship, do enhance the sustainable utilization of natural resources and the preservation of ecosystems. Methodology: This study which was guided by qualitative methods using in-depth interviews, focus group discussions and participant-observations; purposively selected 45 participants based on their knowledge on the subject area across three ethnic groups in Ghana. Findings: Findings showed that even though practices of totemism and deity worship by African Traditional Regions (ATRs) have aided environmental protection throughout the centuries, it is only coincidental as reasons behind the practices are spiritual and not born out of environmental consciousness or pragmatism. And that, practices of totemsim and deity worship are widely spread in Ghana and observed by all clans in the country. Recommendations: For effective environmental protectionism, it is recommended amongst other things that in addressing current ecological challenges, both modern scientific methods and indigenous traditional modes be synchronized efficiently. Findings in this article call for the festering of ideas amongst religious environmentalists, environmental institutions, governments and policy makers, towards the efficient management of environmental resources in the given circumstances.
The Consequences of the Economic Devastations of COVID-19 in Mexican Education 2020

This article presents the results of a scientific economic research, which goal was to reveal the economic indicators resulting from two crises never seen before in Mexico: on the one hand, the health crisis caused by COVID19 and on the other hand, the economic crisis that has been dragging on for several decades. The authors analyzed from the modern conventional economy using the inferential deductive method, the statistical information of the five months of the year 2020 (April-August) regarding the gross domestic product, employment and unemployment in Mexico in order to understand the two crises and propose the alternatives of its solution. The study showed that the average growth rate in employment during the last 36 years in Mexico (neoliberal model) was 1.8%, while unemployment increased in the same period at a rate of 3.4%, an indicator that shows the incapacity of the model to satisfy the demand for labor of the population. Likewise, in the unemployment variable, the neoliberal model implemented since the eighties of the twentieth century in Mexico, has resulted in a low dynamism in GDP, unlike that achieved in the nationalist period, with the consequent reduced number of jobs each six-year term and with it, a considerable increase in the number of unemployed.
Using the microflora of grapes for the production of young sparkling wines

In order to meet the growing demand for ecological products, it is necessary to conduct research on the impact of technological methods of organic winemaking on the quality of finished products. The possibility of preparing high-quality young sparkling wines using wild microflora of Cabernet Sauvignon grapes grown in the conditions of the southern coast of the Crimea without the use of pesticides was studied. The analysis of physical and chemical parameters of sparkling wines was carried out with the help of generally accepted in enochemistry and modified methods of analysis. The use of wild microflora contributes to a greater accumulation of glycerol (by 12-19%), amine nitrogen (by 18%), polyphenols (by 14-17%), the formation of combined forms of carbon dioxide (by 1.2%), better foaming (by 4-8%) and sparkling properties (by 2-3 times) in finished sparkling wines than in control samples. However, fermentation on wild microflora may do not go to the end, which leads to the appearance of undesirable sauerkraut tones. Control samples prepared using pure yeast culture “Odessa black SD13” had a pure varietal aroma and harmonious taste. To improve the bouquet and taste of young sparkling wines produced using wild microflora, it is necessary to select promising strains of wild yeast Saccharomyces cerevisiae, suitable for champagnization. The technology under study can be applied in small enterprises without the use of complex technological equipment. The introduction of this technology will help to increase the total output of sparkling wines.
An analysis of Q angle with respect to various body parameters in athletes

The Q-angle is defined as the acute angle formed by the vectors for combined pull of the quadriceps femoris muscle and the patellar tendon. This angle helps indicating the force vector acting on the patella and patellofemoral joint and improve their individual performance by suitable workout. The present study aimed at analyze the Q angle with respect to various body parameters in athletes of Dakshina kannada district of Karnataka state. For the collection of required data 50 male and female athletes were selected respectively. Selected subjects were participated in State, National, Inter university competition since last 5 years. The Q angle was measured using a full circle universal manual goniometer made of clear plastic in the erect weight-bearing position with the subject standing. The collected data was analyzed by using mean, standard deviation z value and represented the data with the help of suitable graphs and tables.
A Type-2 Fuzzy Time Series Model for Pattern Similarity Analysis: A Case Study on Air Quality Forecasting

Air quality forecasting is a crucial part of megacities control and planning. It is necessary to develop high-quality forecasting methods in real-world applications, especially the issues that affect public health. Like many real-world problems, air quality is affected by uncertainties of nonstationary characteristics that their statistical attributes frequently change over time. Type-2 fuzzy systems have the capability to handle high-order uncertainties such as sequential dependencies associated with time series. This study develops a type-2 fuzzy intelligent system for air quality forecasting. Additionally, a dynamic time warping algorithm has been applied to estimate the pattern's similarity in long time series. The proposed model has been evaluated on a real dataset that contains the one-decade information about outdoor pollutants from April 2011 to November 2020 in Tehran and Beijing. The experiments have confirmed that the proposed model has lower forecasting error than counterpart models in terms of the RMSE, MAE, and MPE for both Tehran and Beijing time-series datasets. Also, the results confirm the superiority of the proposed model with an average area under the ROC curve (AUC) of 95% with a 95% confidence interval. This is promising for the prediction of air quality and make strategic prevention decisions.
Minimizing Input Current of the Rectifier of LCC–LCC Compensated IPT Systems by Switch-Controlled Capacitor for Improving Efficiency

In the inductive power transfer (IPT) system for automatic guided vehicles with a low-voltage and high-current property, the large current stress in the rectifier is one of the reasons for causing the largest power losses. In this article, a power regulation method with the switch-controlled capacitor (SCC) is proposed to lower the input current of the rectifier at the cost of a limited increase of the inverter's current stress. The SCC is applied in the receiver side of the LCC–LCC compensated IPT system, which is controlled to break the resonant tank of the receiver coil for obtaining the ability to adjust the input current of the rectifier. Thus, by achieving unit power factor in the rectifier, the current stress of the rectifier can be minimized while its ac input voltage is boosted. With the adopting of the SCC, the zero-voltage-switching operation is realized on the inverter. Moreover, the parameters and the control strategy of the proposed system with the SCC are designed. Finally, a 700-W prototype is built. Experimental results show that the proposed method maintains a high efficiency under the heavy-load condition (∼91.0%@700 W) and improves the system efficiency by ∼15.8% under the light-load condition (∼80.5%@100 W).
Flexible Energy-Transfer Control of Dynamic Wireless Power Transfer System Based On Estimation of Load and Mutual Inductance

Dynamic wireless power transfer (DWPT) technology is gradually making the prospect of charging on road of EVs (electirc vehicles) possible. However, DWPT system should be optimized in many aspects before it can really be utilized on road. For example, the control of energy transfer for a DWPT system is much complicated than a static wireless power transfer (WPT) system since the coupling of transceiving coils changes with the moving of the EV. In this article, an energy transfer control method based on the estimation of the load and mutual inductance of the segmented DWPT system is proposed. The relation between the load and the reflected impedance of the primary side is studied, and the parameters of the secondary-side LCC network are tuned to avoid the two-solution problems in the estimation of the load. Based on the results of estimation, a two-cases controlling strategy is proposed to switch between power-on station and detection station of the DWPT system according the target of energy transferring. A 800-W prototype of four-transmitting-coil dynamic WPT system is built and experiments show that the proposed energy-transfer control is proved to be efficient to regulate the energy and achieve fast response characteristics. Compared with the traditional controlling methods which usually aim to achieve maximum energy transfer, the method in this article can control the transferred energy according to the target value of energy, making the control more flexible without the use of communication.
Enhanced Component Analytical Solution for Performance Adaptation and Diagnostics of Gas Turbines

Accurate component analytical solution is very important to gas path prognostics and diagnostics of a gas turbine. However, due to the highly complex nonlinear behavior of component performance, the nonlinear relationships between various key parameters still should be further studied. For this purpose, a new component analytical solution is proposed to enhance the current adaptation and diagnostics scheme of gas turbines. First, the tuning factors are defined to construct the enhanced component analytical solution and identify the nonlinear behaviors more accurately. Second, a sensitivity analysis for tuning factors is performed to understand the effect of each factor on the shape of component maps. Then, a particle swarm optimization algorithm is used to capture the optimal tuning factors, and then the performance adaptation is implemented. Finally, the proposed method has been validated with normal field data and fouling fault field data of a PGT25+ gas turbine. Compared with two earlier off-design point adaptation methods, the proposed method shows some advantages in performance adaptation and diagnostics.
Low cost and comprehensive pork detection in processed food products with a different food matrix

The adulteration of processed beef-based meat products with pork is a sensitive issue in Indonesia. In this study, we developed a detection method for the low cost identification of pork in processed meat products. We used the cost-efficient Taq DNA polymerase, DreamTaq Green PCR master mix (2x), and duplex PCR method to recognize pork simultaneously with 18S rRNA detection. A positive control containing a pork gene inserted into pGEM®-T easy was prepared, along with a negative control. The results of the duplex PCR were used to assess its specificity, detection limit, and its ability to recognize pork in processed meat products with a different food matrix. 18S rRNA detection was for confirming DNA integrity of DNA extracted from the processed food, while the positive control confirmed that the reagents were working well and the negative control confirmed a non-contamination problem. Following this, the duplex PCR was optimized and the optimum concentration primer for duplex PCR detection was found to be 3 µm for pork and 0.2 µm for 18S rRNA. As little as 3.125 ng of the DNA template could be used to detect whether a sample contained pork. Duplex PCR is a simple, fast, sensitive, specific, and low cost method of detecting pork in processed meat products.
The presence and genetic characteristics of porcine circovirus 3 from pigs in Southern and Central provinces of Vietnam

Porcine circovirus type 3 (PCV3) is an emerging circovirus species that has recently been reported in different countries around the world, suggesting a widespread circulation. This study was carried out in order to investigate the presence and further genetic characteristics of PCV3 from swine herds in Southern and Central provinces of Vietnam. A duplex PCR assay for rapid detection of PCV3 in pigs was established with a pair of specific primers designed between rep and cap gene segment to amplify full-length ORF2 and another set of primers binding to COX1gene serving as an internal amplification control (IAC). The resulting duplex PCR was used to examine PCV3 presence in 94tissue and serum samples. Subsequently, PCV3 was detected in 10 out of 94 cases (10.6%). The infection rate in sows (14.3%) was higher than that in grower pigs (7.7%). Regarding nucleotide sequence comparison, 10 ORF2 genes were selected for nucleotide sequencing and their alignment showed 97.2% - 99.5% homology. According to the phylogenetic analysis and sequence alignment of cap gene, all the sequences were clustered into group PCV3a,including 9 strains of sub-group PCV3a1 and only one strain of subgroup PCV3a2. These findings indicated that the PCV3a group is circulating in swine farms in Vietnam. This study provides better insights into epidemiology of this pathogen in the national swine industry.
Exploring Customer Price Preference and Product Profit Role in Recommender Systems

Most of the research in the recommender systems domain is focused on the optimization of metrics based on historical data such as mean average precision or recall. However, there is a gap between the research and industry since the leading key performance indicators for businesses are revenue and profit. In this article, we explore the impact of manipulating the profit awareness of a recommender system. An average e-commerce business does not usually use a complicated recommender algorithm. We propose an adjustment of a predicted ranking for score-based recommender systems and explore the effect of the profit and customers’ price preferences on two industry datasets from the fashion domain. In the experiments, we show the ability to improve both the precision and the generated recommendations’ profit. Such an outcome represents a win–win situation when e-commerce increases the profit and customers get more valuable recommendations.
A Low-Latency and Energy-Efficient Multimetric Routing Protocol Based on Network Connectivity in VANET Communication

Intelligent transportation systems (ITSs) are important applications of 5G mobile communication technology. Vehicular ad hoc networks (VANETs) are key part of intelligent transportation systems. Although 5G technology and infrastructure can significantly promote the development of VANETs, in some scenarios, for example, if 5G service is not available or the vehicle speed is too fast, device to device (D2D) will be an important means of communication. Therefore, combining 5G and D2D VANET communication is crucial to provide better connectivity. However, due to high-speed mobility, uneven distribution, and unpredictable vehicle behavior, the VANET network topology changes rapidly, and network connectivity is unstable. This phenomenon represent a considerable challenge to the routing protocol; at the same time, the continuous establishment of new routes needs to send a large number of routing requests (RREQ) and routing reply (RREP) packets, and it therefore consumes considerable energy. How to choose a more stable route is the key to implementing the routing protocol. In this paper, we take the most representative features of vehicles and roadways into consideration and based on the hypothesis of uneven vehicle distribution, we use a nonhomogeneous Poisson process to analyze the network connectivity and take the network connectivity as one of the routing decision metrics. Therefore, using fuzzy logic to make routing decisions under multiple selection criteria, we developed a new routing protocol named LENC (low-latency and energy-efficient routing based on network connectivity). Simulations have been performed comparing classical AODV and LENC. The results indicate that LENC represents a great improvement in routing stability and is superior to AODV in several aspects.