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  • Open access
  • 138 Reads
IoT and Face Recognition based Remote Access System

There are many security systems available in the market and in thesis, which are stringent and can make things worse in the hour of need as there are many situations which demand customized authentication. These systems either require the visitors to provide details of authenticity, for instance, ID cards, passwords, etc. or require someone to explicitly be near the entrance to manually check the details. There are even some existing security systems which become cumbersome for the owners by seeking permission time and again even when the visitor is a frequent one. This paper, therefore is focused on providing a smart solution, without compromising security, by employing a system which will not only grant access to authorized visitors, but will also allow some expected visitors to walk through the doors and restrict the rest even when there is no one physically present near the entrance or anywhere near the concerned area to manually check on the visitors. This system will therefore solicit permission from the owner only when the visitor is unknown.

This remote access system therefore uses face recognition, which is a biometric artificial intelligence based technology, and Internet of Things (IoT) to give access to the known visitors when it recognizes them successfully or to give access to the expected visitors by sending an e-mail to the owner with a picture of the visitor, to let the owner decide whether or not to give access to the visitor even when the owner isn’t anywhere near the entrance. For face recognition, available face recognition module has been used which employs Histogram of Oriented Gradients (HOG) for face detection and implements deep metric learning for actual recognition process. To allow the owner to remotely send controlling commands to the raspberry pi, Flask has been used to host a webpage designed solely for the stated purpose, along with serveo that allows remote port forwarding. The system also uses an IoT API (ThingSpeak) to upload the name of the authorized visitors and their time of arrival.

  • Open access
  • 120 Reads
Title: Ethnomedicinal studies on medicinal plants used by people of Rif, Morocco

Background: Medicinal and aromatic plants are a considerable source of active substances which are exploited in the treatment of several diseases. This study was carried out in the Rif (North of Morocco), it aimed to identify medicinal and aromatic plant used by the local people to treat digestive system diseases, together with the associated ethnomedicinal knowledge.

Methods: The ethnomedical information collected was from 732 traditional healers using semi-structured interviews, free listing and focus group. Family use value (FUV), use value (UV), plant part value (PPV), fidelity level (FL) and Informant Agreement Ratio (IAR) were employed in data analysis. Medicinal and aromatic plant were collected, identified and kept at the natural resources and biodiversity laboratory, Ibn Tofail University, Kenitra.

Results: During the present study 87 medicinal plant species belonging to 43 families has been documented. The most frequent ailments reported were gastric ulcers (IAR = 0.97). The majority of the remedies were prepared from decoction (42.12%). Leaves were the most frequently used plant part (PPV = 0.344) and Thymus saturejoides Coss. (UV = 0.240) was the specie most commonly prescribed by local herbalists.

Conclusions: The results of this study showed that people living in the Rif of Morocco are still dependent on medicinal and aromatic plants. The documented plants can serve as a basis for further studies on the regions medicinal plants knowledge and for future phytochemical and pharmacological studies.

  • Open access
  • 123 Reads
A QSPR model for the prediction of the partition coefficient of organic compounds of pharmaceutical interest

The distribution coefficient (log P) is an important molecular characteristic that allows us to estimate the lipophilicity of chemical compounds and predict how a drug will behave, fundamentally against the processes of absorption and excretion. The experimental determination of this and other properties of interest has several limitations, such as the high time invested and the consumption of considerable amounts of sample. In recent years, the development of new drugs has been supported by computational tools that allow a theoretical prediction of their properties from the information collected by their molecular descriptors, their design being much faster and cheaper. This paper shows the results of a structure-property relationship (QSPR) study aimed at finding a predictive mathematical model of the distribution coefficient of organic compounds of pharmaceutical interest. Through the computer programs ACDLabs (simplified molecular representations and calculation of log P) and MODESLAB (calculation of molecular descriptors) a training series consisting of 200 compounds classified in ten pharmacological groups was formed. Using the BuildQSAR computer program, an optimal prediction model of log P was obtained, considering the five molecular descriptors that best correlated with this property as independent variables. The model obtained showed a percentage of adjustment to the experimental data of 85%, as well as a standard error of the estimate lower than the logarithmic unit. Its internal validation showed an adjustment percentage of 80%.

  • Open access
  • 165 Reads
Simply low-cost recirculation aquaculture system for Amazonian native fish hatchery under controlled conditions
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This research has focused on the generation of an economic, efficient and safe technology that allows adequate control of inlet flow and recirculation as well as factors associated with water quality. It is hoped that medium-sized aquaculture companies interested in providing fry for tropical fish farming can replicate this prototype. The design was based on the use of locally available components, considering recycled containers for mechanical and biological filters manufacture. Two recirculation lines were implemented: i) maintenance of aquatic organisms (MAO); ii) tropical fish hatching coupling (TFHC). In both cases, operating tests were performed with electric and solar heaters. The requirements for oxygenation, evacuation and separation of biosolids, excretion products biofiltration, CO2 degassing and fish metabolites, pathogens control, temperature maintenance and variables measurement were adapted and solved. Results show that the recirculation systems provide handling conditions with temperature, dissolved oxygen and pH stability, while nitrogen was safely removal in quantities and forms. As environmental adaptation for artificial hormonal induction treatments, there is a significant temperature increase, which is stable with the solar heating adaptations; oxygen remains in saturation concentration; and the biofilter systems remains below concentrations that could affect organisms in the recirculation systems removed NO2 and NO3 organic load. The recirculation flow rate is regulated in the MAO at approximately 10 l/min, a replacement rate of 120% per hour; while in the TFHC a flow rate of 7 l/min per incubator was used, i.e. 14 L/min in the system, which implies a replacement of 280% in the incubators and 170% in the maintenance tanks.

  • Open access
  • 87 Reads
Invisible training: how to improve your sports performance

Athletes of all levels, from professionals to amateurs, are looking for ways to improve both performance and health. These not only involves training tasks, but also those aspects that can influence both performance improvement and injury prevention. These aspects are known as invisible training. Invisible training will improve the recovery between sessions, reduce the risk of injury and better assimilate the training. The assumption of these basic measures, together with mental and physical training, will be decisive for sports performance. For example, in endurance sports, training load, nutrient intake and sleep are key factors that modulate immune function, positively or negatively. Regular physical activity as well as a balanced diet and sufficient sleep are associated with improved immune function. On the other hand, prolonged or too intense exercise, energy deficit and lack of sleep decrease the function of the immune system and increase the probability of suffering from infections and pathologies. Therefore, psychological training, rest, nutritional and hydration habits and social aspects will be a necessary activity for the technical managers of a sport, if they wish to achieve medium or long-term physical objectives.

  • Open access
  • 513 Reads
Comparison of the effects on muscle mass and strength when applying a high carbohydrate diet and a ketogenic diet
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Scientific evidence shows the importance of nutrition in muscle hypertrophy, especially with the aim of achieving a positive energy balance between food intake and energy consumption, if there is always a suitable protein intake. Several studies show that the combination of exercise against resistance with excessive energy consumption produces gains in lean body mass. However, the exact amount of all macronutrients is not clear. 10 men with more than 2 years of experience in systematic strength training were divided into 2 groups of 5 subjects, one group submitted to a ketogenic diet and the other to a diet with a high percentage of carbohydrates, both groups for 8 weeks. Both diets produced a significant increase in muscle mass % and 1MR bench press and squat. This increase was more prominent in the carbohydrate-rich diet. In addition, the ketogenic diet stood out for the significant decrease in fat % and fat weight. Therefore, both diets would be indicated for people who want to improve their muscle mass and strength by performing hypertrophy training. However, if the aim is fitness purpose, the ketogenic diet could provide more results and if the goal is strength improvement, a diet rich in carbohydrates would be more suitable.

  • Open access
  • 137 Reads
Optimization of abiotic conditions for the increased production of exopolysaccharides of bacterial species of the Rhizobium genus isolated from soil contaminated with hydrocarbons.
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One of the most worrying environmental problems of the Ecuadorian Amazon is the oil spills, product of the oil exploitation [1]. To counteract the damage caused by this activity, PETROAMAZONAS-EP, through its "Live Amazon" Project (PAV), has dedicated itself to the bioremediation of soils contaminated by hydrocarbons [2]. The clay texture of the Amazonian soil is one of the factors that hinders bioremediation activities, due to its tendency to compaction and plasticization, high water retention capacity, poor aeration and low permeability [3,4,5]. All these characteristics together hinder the development of both microorganisms and plants [6]. In this context, the use of Rhizobium, a Gram-negative bacterium of free and native life of a contaminated soil, producing metabolites with a history of soil aggregation improvement such as exopolysaccharides (EPS) was proposed. This will allow the improvement of bioremediation processes, through changes in the soil structure that promote hydrocarbon degradation activity, which would result in cost reduction and saving of material and human resources in the process.

To carry out this investigation, simple random sampling was carried out in different Liability Management Centers operated by the PAV. The samples collected corresponded to plant roots with typical characteristics of nodular legumes. From the nodules, a macerate was obtained and a Gram stain was performed to corroborate the presence of Gram negative bacilli. Subsequently, these were seeded in yeast-mannitol extract agar (YEMA) and the colonies that presented the common macroscopic characteristics of Rhizobium in the culture medium were selected for purification and again subjected to Gram staining to confirm the presence of gram negative bacilli.

A total of eleven isolates suspected of belonging to the Rhizobium genus were obtained. The isolates were characterized by phenotypic and biochemical tests. Phenotypic characterization was performed by describing the colonial morphology in specific media such as YEMA with Congo Red and Agar Yeast Extract- Mannitol with Bromothymol Blue. The biochemical characterization was done through catalase tests, citrate utilization, cetolactase enzyme production and antibiotic sensitivity [7]. Molecular characterization is about to be performed, using the 16S rRNA analysis. The isolates obtained were subjected to a quantitative test of EPS production. The assays were performed in triplicate, for which a bacterial suspension was seeded at a concentration of 0.5 McFarland of each strain in 10 mL of broth yeast-mannitol extract (YEMB). EPS extraction was performed with 96% cold ethanol and centrifugation at 10,000 rpm. The quantification of EPS was carried out using the modified phenol-sulfuric acid methodology, using a glucose calibration curve as a standard. The test highlighted strains R020801, R021102 and R021202 as the higher producers of the substance of interest within the group, producing the following concentrations of EPS: 13.05 ug/mL; 13.94 ug/mL; and 20.77 ug/mL, respectively. These isolates were used to test EPS production conditions through the modification of nutritional and physical factors in the culture medium, such as: carbon sources (mannitol as control, glucose, sucrose and glycerol); nitrogen sources (yeast extract as control, urea and casein); and different pH (6,7 and 8). The assays were in triplicate. A bacterial suspension was inoculated at a concentration of 0.5 McFarland of each strain in 10 mL of yeast-mannitol extract broth modifying the corresponding conditions. EPS were recovered and quantified.

It was observed that strain R020801 and R021202 produced more EPS at pH 7, in the presence of sucrose and urea in the culture medium. On the other hand, strain R021102 produced a higher amount of EPS at pH 8, with glycerol and yeast extract in the culture medium. At the present time, the research focuses on evaluating the production of EPS for each strain by combining the conditions previously tested. This will allow establishing the influence of joint conditions to produce the substance of interest on a larger scale and be used in the future to improve bioremediation processes in the Ecuadorian Amazon

  • Open access
  • 97 Reads
Change scenarios in Amazonian Kichwa rural communities, Anzu valley, Ecuador
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This paper evaluates change scenarios in rural communities of the Kichwa Amazonian territory in the Anzu River Valley, Ecuador, in six communities, from Tzawata, at Northeast to Veinticuatro de Mayo at Southwest; at low, medium and high levels of the Anzu river valley. The communities settled since the end of the nineteenth century, came from the Napo province. Study area includes a portion of Kichwa original territory, fragmented by settler possessions, a process that also characterizes the territorial system of which the communities studied are part. The diversity of actors in this territory maintains a growing trend as the colonization process advances, also, the recognition of ancestral rights and community ownership of land, becomes more difficult. The decentralized autonomous local governments don’t have competence in the legalization of lands and territories, but they do have competence in the investment for development. The study detected local governments don’t include all the communities studied in their area of influence. On the other hand, already in this scenario it is detected that the knowledge of the use of local species is weakened in the communities, as well as their use. The irruption of legal and illegal mining and the persistent threat of oil exploitation create constant conflicts in the Kichwa nation. Strategic foresight, as the basis for the development of the territorial system and its application in the communities studied, necessarily recognizes the forms of indigenous and mestizo community social organization, their identity and ancestral values, times and rhythms of life.

  • Open access
  • 71 Reads
In silico study of thiophenic heterocycles against Staphylococcus aureus targets
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  1. aureus is a spherical gram-positive bacterium commonly found on the skin, its infection can cause various health problems in various parts of the body, its milder infection can cause folliculitis, itchy skin, temporary alopecia and seborrheic wax accumulation. in the skin. In addition, infections can compromise beyond the skin, at its most severe stage, other organs such as the liver, pancreas, brain and heart. Due to the bacterial resistance of this microorganism, many researchers are looking for new antibacterial drugs to fight S. aureus, so, the insertion of heterocyclic in medicinal chemistry has been growing every year, due to its great capacity and versatility against several diseases, presenting antimicrobial activities, viral, retroviral, tumoral and others. This work consists of a computational study of a series of thiophenic heterocycles against 5 targets of the S. aureus bacterium, and it is possible to point them out as prototypes to new bactericidal drugs. For this 30 molecules were initially submitted to a prediction model of biological activity developed in KNIME Analytics Platform 3.8 against the organism of the bacterium under study, the approved molecules were imported into the software Osiris DataWarrior 5.0 for analysis of 4 parameters of cytotoxicity (mutagenicity, carcinogenicity, toxic effect on the reproductive system and skin irritability) where only non-hazardous molecules were considered in any of the above parameters, and molecular docking was performed to calculate the energies of total ligand-receptor interactions with all chosen proteins. (PDB ID 5ZNJ and PDB ID 6N1X) and rank thiophenics tested with some bactericidal drugs used as controls in this study. Thus, after the conclusion of this study it was possible to conclude that the thiophenic compounds tested may present antibacterial activity against Staphylococcus aureus according to the in silico results shown in this work.
  • Open access
  • 69 Reads
Quadratic effect of the protein content of a solid state fermented baby banana (Musa acuminata AA) treated with whey

To predict the protein content in a solid state fermented (SSF) baby banana (Musa acuminata AA) of waste inoculated with whey, using linear, quadratic, cubic, compound, exponential and logistic regression models. In SSF samples of 8 days post-processing, inoculated with 0, 1, 5 and 10 ml of whey/kg of mixture, the protein content of the SSF was determined. For data processing the SPSS version 22 software was used. A quadratic effect of the protein content was observed in the SSF of baby banana (R2 = 0.99; Y = 6.372 + 2.003*X - 0.138*X2). In conclusion, the use of increasing doses of whey as an inoculant of the SSF of baby banana showed a quadratic effect on the protein content.

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