Miracle-dz/UniFAR-FTUs huggingface dataset:
Iron Contamination of Shallow Wells in Makurdi Urban Area, Benue State, Nigeria

This study examines iron contamination of well water within Makurdi urban area. Water samples were collected from 15 wells and analysed for iron concentration as it affect the quality of drinking water. The analyses were done according to standard method of water examination. The results of the analyses show that 40% of wells studied exhibit elevated iron concentrations above the WHO limits for drinking water. The presence of iron in shallow wells of the study area may be traced to the local environment of the wells. These include: the geology, dissolution of iron minerals from rocks and soil, precipitation and run off, construction and agricultural activities. Although iron concentrations at objectionable levels were noted in some of the shallow wells, most residents were found using them for drinking and other domestic purposes, since the public water supply is generally inadequate and in most cases inaccessible. To reduce health risk some form of treatment like filtering and or reverse osmosis may be applied before use.
Design of a reconfigurable antenna based on graphene for terahertz communication

A broadband, high radiation efficiency graphene‐based reconfigurable square spiral antenna for terahertz communication is proposed. The main part of the antenna is the graphene‐based square spiral microstrip patch. The proposed antenna is built and simulated using high‐frequency structure simulator (HFSS). By applying different combinations of chemical potentials on the graphene layer, the operating frequency of the antenna can be varied from 0.1 to 2 THz. The tuning range of frequency and beam direction with same and different chemical potentials applied to the two graphene sheets are also studied. When the antenna is applied with different chemical potentials, the required bias voltages are much lower to achieve the same frequency tuning range, and the tuning range of beam direction is about 2.5 times that of same chemical potentials. The realized beam reconfiguration of the proposed antenna is over a wide range up to 74°, and the calculated maximum radiation efficiency of the proposed antenna at 1.48 THz is 85.06%. Therefore, the proposed reconfigurable antenna makes it extremely promising for terahertz communication system.
Effects of Long-Term Location Fertilization on The Transformation of Various Phosphorus Forms in Albic Soil

The transformation of various phosphorus forms was studied by long-term location fertilization,the result showed that inorganic phosphorus forms mainly transformed into Fe-P,Al-P and Ca2-P in the treatment of applying manure,the transformating rate of Fe-P was the highest,organic phosphorus in soil transformed into various phosphorus forms, the transformating rate of various phosphorus forms in soil in order of magnitude read as follows:MLOPLOPHROPMROP, in the treatment of applying fertilizer,the inorganic and organic phosphorus in soil transformed separately into Fe-P,O-P,Al-P and MROP, turning straw transform inorganic phosphorus into Ca2-P,Al-P,Fe-P,but their transformating rates weren’t high,and could mainly transform organic phosphorus into MROP and HROP.
Assessment of the Effect of Application of the Herbicide S-Metolachlor on the Activity of Some Enzymes Found in Soil

Herbicides are being used more and more to increase productivity in agriculture, but their excessive has been shown to lead to adverse effects on the environment, especially on the soil. Within this study the effect of the herbicide S-metolachlor on the activity of several enzymes (dehydrogenase, protease, phosphatase and urease) found in the loamy-clayey soil has been analyzed. There were seven experimental variants corresponding to the untreated soil and to the application of six distinct doses of S-metolachlor on soil samples maintained in laboratory conditions. Biochemical analyzes have been performed to assess the activities of the investigated enzymes at 7, 14 and 21 days, respectively, and several physiochemical parameters of the soil have been also monitored during these experiments. The data obtained in the experimental determinations were subjected to statistical analysis such as to evaluate if the changes in the activities of enzymes are significant and to establish if there are correlations between the evolution of analyzed enzymatic activities and the physicochemical parameters of the soil. Molecular docking approach has been also used to assess the interactions between the herbicide and investigated enzymes. The activities of studied enzymes decreased in a dose-dependent manner when the herbicide was applied. More than 21 days were necessary to recover the activities of dehydrogenase and protease in the soil treated with S-metolachlor, the activity of protease was recovered after 14 days and the activity of urease was recuperated after 7 days of incubation. This study also emphasized significant correlations between the enzymatic activities and some physicochemical parameters of the soil: pH, moisture, organic matter, nitrogen level and available phosphorus.
Historical survey of research related to fire management and fauna conservation in the world and in Brazil

Abstract: Fire is a key ecological factor affecting biodiversity structure and composition. Fires' effects on biodiversity can be beneficial or harmful depending on how, where, when, and why they occur. The impacts of fire on fauna vary according to species ecology and the fire regime. To understand the research effort relating fire, fauna, and mammals, we surveyed papers published in World and in Brazil. Only 5% of the publications between 1970 and 2019 with fire subject dealt with fauna and 0.5% with mammal. For Brazil, we obtained 7% of papers for fauna and 3% for mammal. The Brazilian Biome with more papers was Cerrado, followed by Atlantic Forest, Amazon, Pampas, Caatinga and Pantanal. The United States of America and Australia stand out as protagonists in their continents with the largest papers number. The volume of research is related to investment in Research and Development and to occurrence of fires. The slope of temporal trend shows the terms related to wildfire have more papers than prescribed burn and there is less interest in fauna and mammal research. It is necessary to form research groups with these themes as research lines and intensify research relating fire ecology and mammals. There is yet no unified understanding of how fire may influence animal diversity and how it influences the vegetative structure and subsequently the resources which wildlife rely on. We consider this information is essential to establish efficient conservation policies.
Cross-Database Micro-Expression Recognition Exploiting Intradomain Structure

Micro-expressions are unconscious, faint, short-lived expressions that appear on the faces. It can make people's understanding of psychological state and emotion more accurate. Therefore, micro-expression recognition is particularly important in psychotherapy and clinical diagnosis, which has been widely studied by researchers for the past decades. In practical applications, the micro-expression recognition samples used in training and testing are from different databases, which causes the feature distribution between the training and testing samples to be different to a large extent, resulting in a drastic decrease in the performance of the traditional micro-expression recognition methods. However, most of the existing cross-database micro-expression recognition methods require a large number of model selection or hyperparameter tuning to select better results from them, which consumes a large amount of time and labor costs. In this paper, we overcome this problem by exploiting the intradomain structure. Nonparametric transfer features are learned through intradomain alignment, while at the same time, a classifier is learned through intradomain programming. In order to evaluate the performance, a large number of cross-database experiments were conducted in CASMEII and SMIC databases. The comparison of results shows that this method can achieve a promising recognition accuracy and with high computational efficiency.
Identifying the Dietary Patterns and Chronic Disease’s Effective Factors on the General Health Condition of Tehran’s opposite Gender Adult Twins in 2017

Department of Nutrition, Faculty of Medical Sciences and Technologies, Islamic Azad University, Science and Research Branch, Tehran, Iran. National Nutrition and Food Technology Research Institute, Shahid Beheshti University of Medical Sciences, Tehran, Iran. Department of Health Services, Faculty of Medical Sciences and Technologies, Islamic Azad University, Science and Research Branch, Tehran, Iran.
Intracerebral Pro-inflammatory Cytokine Increase in Surgically Evacuated Intracerebral Hemorrhage - an Observational Microdialysis Study

Background: Treatment options for spontaneous intracerebral hemorrhage (ICH) are limited. A possible inflammatory response in the brain tissue surrounding an ICH may exacerbate the initial injury and could be a target for treatment. Methods: In this observational study, ten patients needing surgical evacuation of supratentorial ICH received two cerebral microdialysis (MD) catheters; one in the perihemorrhagic zone (PHZ), and one in non-eloquent cortex (SNX) remote from the ICH. The microdialysate was analysed for energy metabolites (including lactate/pyruvate ratio (LPR) and glucose) and for inflammatory mediators using a multiplex immunoassay of 27 cytokines and chemokines at 6-10 hours, 20-26 hours and 44-50 hours after surgery. Results: Deranged energy metabolic markers suggestive of a metabolic crisis were found in PHZ compared to SNX, persistent throughout the 50 hours. Pro-inflammatory cytokines IL-8, TNF-α, IL-2, IL-1β, IL-6 and IFN-γ, anti-inflammatory cytokine IL-13, IL-4, and VEGF-A were significantly higher in PHZ compared to SNX, most prominent at 20-26 hours following ICH evacuation.Conclusions: Higher levels of pro- and anti-inflammatory cytokines in the perihemorrhagic brain tissue suggests a role for inflammatory mediators involved in secondary injury cascades potentially exacerbating tissue injury, which may constitute a target for future medical interventions.
Study on Catalytic Oxidatio Benzaldehyde to Benzoic Acid with Keggin Polyoxometalate [(CH2)5NH2]4SiW12O40

The organic–inorganic hybrid catalyst [(CH2)5NH2]4SiW12O40 was prepared by matrix acid and piperidine. The matrix acid was synthesized by sodium molybdate and sodium silicate, and the piperidine was organic ligand. The proposed composition and structure of the catalyst were evidenced by XPS, FT-IR, XRD, TG-DTA and elemental analysis. The results indicated that the heteropoly anions still reserved their Keggin structure in the compound. Its catalytic performance was evaluated in the oxidation of benzaldehyde to benzoic acid. Various reaction parameters were changed to attain the optimal conditions. The optimal reaction conditions were found to be: n(catalyst): n(benzaldehyde)=3.1×10-3:1; n(H2O2)： n(benzaldehyde)=4.5：1; reaction temperature was 80°C; reaction time was 4h. The yield of benzoic acid achieved above 85%.
Nutrient digestibility in horses of tropical grasses found in semi-arid areas of the Brazilian Northeast region assessed using mobile bags

ABSTRACT The present study used mobile bags to estimate horse nutrient digestibility of tropical grasses found in semi-arid areas of the Brazilian Northeast region. Five female mixed-breed horses with a mean weight of 400±23 kg were assigned to a 5×5 Latin square design with five periods of seven days and five grasses: Tifton 85 hay ( Cynodon spp. ), sixweeks threeawn ( Aristida adscensionis Linn.), Alexandergrass ( Brachiaria plantaginea (Link) Hitchc), capim-de-raiz ( Chloris orthonoton Doell), and Sabi grass ( [. ]
The effects of organic manure and chemical fertilizer on the growth and nutrient concentrations of yellow poplar (Liriodendron tulipifera Lin.) in a nursery system

Soil nutrient management is necessary to maintain the constant productivity of nursery systems as well as good quality soil. This study investigated the effects of organic manure and chemical fertilizer treatments on growth performance and soil and tissue chemical properties. Two-year-old yellow poplar (Liriodendron tulipifera L.) seedlings were treated with an organic manure (1000 g/m2; mixture of poultry manure, cattle manure, swine manure, and sawdust), nitrogen–phosphorus–potassium (NPK) chemical fertilizer (urea, 30 g/m2; fused superphosphate, 70 g/m2; potassium chloride, 15 g/m2), and organic manure plus NPK chemical fertilizer. Control seedlings were left untreated. Growth of seedlings, soil properties, and nutrient concentrations were measured to compare the treatments. Organic manure significantly increased the soil pH and the concentrations of nitrogen, available phosphorus, exchangeable potassium, calcium, and magnesium. In contrast, the NPK chemical fertilizer decreased the soil pH and exchangeable calcium concentration, did not affect the soil concentrations of nitrogen and magnesium, and increased the concentrations of available phosphorus and exchangeable potassium. Fertilization treatments increased the seedling height and root collar diameter by 21% and 29%, respectively, and the mean dry weight of the stems and leaves by 72% and 123%, respectively; but a synergistic effect of the organic manure and NPK fertilizer was not observed. Compared to the effects of the fertilization treatments on the soil properties, the effects on nutrient concentrations in the leaves, stems, and roots were relatively small. These findings indicate that organic manure derived from livestock byproducts and sawdust can be utilized in seedling production systems.
Micronutrient screening, monitoring, and supplementation in pregnancy after bariatric surgery

We present the case of a woman with a history of biliopancreatic diversion and duodenal switch procedure who developed severe malnourishment requiring total parenteral nutrition during three pregnancies. The widespread use of bariatric surgery, particularly among those of reproductive age, has led to an increase in the number of women who become pregnant following bariatric surgery. There is a paucity of evidence to guide nutritional recommendations for women during pregnancy post bariatric surgery. We review this literature and summarize key published evidence and provide comprehensive recommendations concerning the common challenges in the management of nutrition status during pregnancy. The focus is on the impact of malabsorptive bariatric surgeries on pregnancy outcomes, nutrient deficiencies, recommendations for micro- and macronutrient monitoring and supplementation, and altered glucose metabolism and implications for diabetes screening. Optimizing pregnancy outcomes for individuals following bariatric surgery requires multidisciplinary team management including obstetrical providers, obstetric medicine specialists, and dietitians.
RNN-LSTM Based Deep Learning Model for Tor Traffic Classification

ABSTRACT Tor is an anonymous browser software running on an overlay network. Due to the nature of the end-to-end encryption channel, it is hard to analyse the network traffic. Thus, intruders prefer the Tor browser to hide their identity and access the offensive content. Tor relays are secure from network monitoring, tracking and surveillance. There are so many research contributions for tracking the network traffic and classifying it based on various features and attributes. In this paper, we explained RNN-LSTM-based deep learning model to classify the network traffic based on their nature Tor/non-Tor. We have tested the model with open data sets ISCXTor2016 data sets and samples retrieved in our environment using CIC-flowmeter-4.0. The binary classification model using RNN-LSTM classifies the network traffic with better accuracy and precision. The same experiment conducted in the traditional deep neural network model provides large false positives and false negatives. Here we also present a detailed study and analysis of the model compare with ANN classifiers and genetic-based feature selection method.
Stability analysis and control of a flywheel energy storage rotor with rotational damping and nonsynchronous damping

Based on the principle of Lagrange mechanics, especially considering the effects of rotation damping and nonsynchronous damping, a radial 4-dimensional dynamic model of the flywheel bearing rotor system is proposed. Applying the Laplace eigenvalue method, the stability effects of rotational damping, nonsynchronous damping, and their coupling effects are investigated by means of root locus method. Under the control of the linear quadratic regulator, dynamical characteristics of the flywheel bearing rotor system with varied rotational damping and nonsynchronous damping are also studied. The results show that the rotation damping, nonsynchronous damping, and their coupling effects have vast and complex instability effects on high-speed flywheel bearing rotor system. However, there are three exceptions. The tiny proportional rotational damping, remaining below 12%, and the minuscule proportional co-nonsynchronous damping; the product of the nonsynchronous damping and the speed ratio below 5% both can enhance the stability of the system. Furthermore, in the situation that the counter-nonsynchronous damping is coupled with the large proportion of rotational damping, the stability of the system can also be boosted distinctly. On the other hand, the numerical experimental results show that the rotational damping and nonsynchronous damping have a beneficial effect on the flywheel system controlled by linear quadratic regulator. In addition, under the control of linear quadratic regulator, the transient dynamical behavior of the flywheel rotor system with rotational damping or co-nonsynchronous damping performed better than the flywheel rotor system with the coupled damping. The numerical simulations of the transient response of the flywheel rotor system under active control are consistent with some of the derived stability analysis results. The results about the stability analysis and the performance in vibration control give the suggestions for the instability control and fault detection of the system.
A family of models to study the growth of Haloferax mediterranei in different conditions.

Haloferax mediterranei is a denitrifying halophilic archaeon able to grow with nitrite as the sole nitrogen source for growth in an assimilatory process under aerobic conditions. This haloarchaeon can also reduce nitrite in a respiratory process, where nitrite is the electron acceptor when oxygen conditions are limited. Due to this capability, Haloferax mediterranei could be applied in salted water bioremediation processes with the purpose of repairing the damage caused by the excessive use of fertilizers in agricultural activities. In this paper a family of different mathematical models has been generated to allow the study and the prediction of Hfx. mediterranei growth in high salt media with different nitrite concentrations. The relation between the growth and some variables are studied, for example nitrite concentration (N), oxygen concentration (O) and the time of growth (NH). This approach will allow us to analyse future Hfx. mediterranei uses as agent for bioremediation processes.
Postharvest Physicochemical Properties and Fungal Populations of Treated Cucumber with Sodium Tripolyphosphate/Titanium Dioxide Nanoparticles during Storage

Cucumbers have a limited shelf-life, from 10 to 14 days at commercial temperatures with relative humidity (80%). The aim of the work was to evaluate the postharvest physicochemical properties and fungal populations of cucumber treated with sodium tripolyphosphate/titanium dioxide nanoparticles during storage at 10 °C to prolong the shelf-life to 21 days. Cucumber samples treated with chitosan/sodium tripolyphosphate/titanium dioxide nanoparticles (Cu-CHS-TDN-ST) and (Cu-CHS-TDN-ST) were found to be in a well-hydrated state and with a green-colored appearance upon day 21, with excellent quality for consumption. Chitosan coating (Cu-CHS) alone prolonged the cucumber shelf-life for 14 days of storage. The Cu-CHS coating was less evident in reducing the respiration rate of cucumbers on day 14 than both nanocoatings, which were reported at the end of the storage period to be 5.09 and 5.38 mg·kg−1 h−1 for Cu-CHS-TDN-ST and Cu-CHS-TDN, respectively. The Cu-CHS-TDN-ST treatment reduced the loss of ascorbic acid content to 13.17 mg/100 g, delayed chilling injury, and had the highest chlorophyll contents during the whole storage period. The presence of sodium tripolyphosphate with the nanocoating delayed tissue damage. Peroxidase enzyme activity reached the maximum of 54.65 Ug−1 for Cu-CHS-TDN-ST on day 21, followed by Cu-CHS-TDN 50.1 Ug−1. On day 21, the fungal populations of Cu-CHS-TDN samples (3.77 log CFU/g) were more than that of Cu-CHS-TDN-ST (3.15 log CFU/g) against Cu-Control (100 % spoiled). It was noted that the Cu-CHS-TDN-ST and CHS-TDN-ST coating treatments were capable of preserving the cucumber samples’ quality during storage. The addition of sodium tripolyphosphate as a crosslinker for stabilizing the nanoparticle polymers in the coating treatments prolonged the shelf-life and achieved excellent quality for the cucumbers.
Review of Magnetoelectric Sensors

Multiferroic magnetoelectric (ME) materials with the capability of coupling magnetization and electric polarization have been providing diverse routes towards functional devices and thus attracting ever-increasing attention. The typical device applications include sensors, energy harvesters, magnetoelectric random access memories, tunable microwave devices and ME antennas etc. Among those application scenarios, ME sensors are specifically focused in this review article. We begin with an introduction of materials development and then recent advances in ME sensors are overviewed. Engineering applications of ME sensors are followed and typical scenarios are presented. Finally, several remaining challenges and future directions from the perspective of sensor designs and real applications are included.
An Overview of Salmonella Biofilms and the Use of Bacteriocins and Bacteriophages as New Control Alternatives

Salmonella is a major food-borne pathogen around the world. In the European Union (EU), this pathogen is responsible of more than 90,000 human cases of salmonellosis every year. Salmonellosis in normally linked to the consumption of contaminated food, especially poultry products as meat, eggs and the products elaborated with them. Several control measures have been implemented in the EU to reduce the prevalence of Salmonella in the food chain. However, the ability of Salmonella to form biofilm along the food chain difficult its eradication. Also, ineffective cleaning and disinfection measures favors biofilm formation. The widespread use of biocides along the food chain has led to the emergence of resistant Salmonella strains. Therefore, it is necessary to look for alternatives to biocides to eradicate Salmonella biofilms. In this chapter we evaluate the use of bacteriocins and bacteriophages and their derivatives as a new alternative to eliminate Salmonella biofilms along the food chain.