Miracle-dz/UniFAR-FTUs huggingface dataset:
Realistic Antenna Array Modeling for 5G Communications

The 5th generation mobile networks promise a revolution in the way we connect, with faster data transfer and the capacity to support a higher density of users. 5G is expected to improve along this line of services to offer high speed internet, high definition video streaming, efficiency and real time connectivity to IoT enabled devices, thus promising ubiquitous connectivity at three times the speed of 4G. In the presented work, a street intersection environment, signal communication between the street light pole and moving car is studied. A printed patch antenna array with capacitive coupled microstrip fed is designed and simulated at 28GHz. Antenna array feeding network is illustrated to be installed on a car roof for 5G communication with street light poles and communication towers.
APPLICATION TO DETECT SKIN CANCER USING CNN

that leads to sunburn. Most of the melanomas look similar to moles, some of them emerge from moles and are with the color pigments such as black or brown and it also be found as pink, red, purple, blue or white colored skin pigments. The main objective of the proposed work is to construct an application ‘Medipot’ that infers the input image data to the model where data is analyzed whether the image is cancerous or not. The proposed work can be implemented based on different machine learning approaches to detect the various features and classify them correctly. [2] Abstract-The proposed work is an application to detect Skin Cancer, which is a software designed to identify the skin cancer in humans. In today’s world many people ignore the rashes on the skin assuming that, it will be due to allergies which may lead to skin cancers and diseases. The project aims to solve these kinds of problems that human face in their day to day life. The application is designed in Python, which mainly concentrates on Machine Learning Algorithms such as Convolutional Neural Networks. A model is developed by training with sample images of different kinds of skin cancer and diseases. An Android application accepts a contaminated image as input where minimum resolution of image is 8MP. The images will be compared with the trained data set. Before comparing the image with the trained data set, a series of questions will be asked regarding skin issue symptoms and depending upon the answers given by the user the machine comes to a conclusion on type of cancer or disease based upon the training data set. Depending on the predicted result, the user will be notified with the remedies.
Utility of random amplified polymorphic DNA (RAPD) markers for linkage mapping in Turkish Red Pine (Pinus brutia Ten.)

We have applied the random amplified polymorphic DNA (RAPD) marker system to estimate linkage relationships in Pinus brutia TEN. We used DNA samples from 30 haploid seed megagametophytes from each of 4 mother trees. Ninety-five 10-base oligonucleotide primers were evaluated and 34 revealed at least one polymorphic RAPD locus. The number of segregating RAPD loci per polymorphic primer varied from 2.32 to 3.25, but when segregating loci per tested primer was considered it was low, ranging on the average, from 0.28 in tree 4 to 0.59 in tree 1. Based on the RAPD loci segregating in 1:1 ratio, genetic linkage groups formed from 6 for genotype-4 (total map distance = 163.91 cM) to 13 for genotype-3 (total map distance=511.2 cM). It was also found that a number of segregating loci in all 4 genotypes (ranging from 14 to 21) could not be assigned into any of the constructed linkage groups. It was difficult to compare linkage groups among the genotypes since most of RAPD loci segregating in one genotype were not found in others. Thus, the linkage map provided very little information on the genomic organization of RAPD markers at the species level. The utility of RAPD markers in forest genetics is also discussed in the paper.
Response of Malaria Hazard and Risk to a Hydroelectric Dam in Ethiopia Using GIS and Remote Sensing

Malaria is a disease spread by female mosquitos of the Anopheles genus. It is acutely prevalent in Sub-Saharan Africa, where 90% of malaria deaths occur annually. One Sub-Saharan African country historically impacted by malaria is Ethiopia. In the past twenty years, malaria prevalence has decreased throughout Sub-Saharan Africa; yet, anthropogenic environmental changes are changing the landscape of malaria. Scholarly literature has cited a positive relationship between hydroelectric dams and malaria in Sub-Saharan Africa. Ethiopia is currently expanding their hydroelectric infrastructure. The Gilgel Gibe III Dam is located on the Omo River in Southwestern Ethiopia. It began generating electricity in 2015 and its reservoir has a capacity of 14,700 million m3 of water. This research utilized Geographic Information Systems and Remote Sensing to identify populations at an increased risk of malaria due to Gilgel Gibe III Dam. Two different techniques were employed: the proximity approach and the remote sensing approach. The proximity approach was based on distance from the reservoir. It identified all populations living within three kilometers of the reservoir as being at an increased risk. The remote sensing approach evaluated the slope, elevation, water content, and land surface temperature of the study area to create a mosquito breeding habitat risk map. Then, populations living within three kilometers of the two main High-Risk areas were identified. This study suggests that mosquito breeding habitat risk is not equally distributed throughout the Gilgel Gibe III Reservoir. This causes certain populations to be at a heightened risk of malaria.
Propriedades físicas do solo após extração seletiva de madeira na Amazônia Central

Soil physical variables were investigated in forest plots submitted to selective logging in Central Amazonia. After logging, soil samples were collected to obtain soil water retention curves and measure: available soil water to the plants, soil density, and total porosity. Temperature measurements were carried out for 13 months, considering six treatments: control, center of the gaps, edge of the gaps, edge of the remaining forest, remaining forest and tractor tracks. Hydraulic conductivity measurements on saturated soil were conducted both on the control forest as well as on the logged plots, with no treatment distinction. The soil showed a low available water storage capacity: only 11 to 18% can be available to the plants, up to 1 meter depth. The temperature of the soil upper layers was influenced by logging, i. e. , through the opening of the gaps, light reaches the soil more intensely in the center and edge of gaps, increasing temperatures in relation to the control and the remaining forest.
Cyanobacteria Bioactive Compound, their Production and Extraction with Pharmaceutical Applications – A Review

In past few years, due to exponential rise in population and changing lifestyles, microorganisms have developed resistant against many drugs which are used in treating many infectious diseases. Multi drug resistance is the resistance of microorganisms against the targeted drugs (Tanwar et al., 2014). The prolonged use of antibiotics, over or under use of antibiotics, use of antibiotics without any information regarding antibiotic sensitivity pattern of the pathogens, non completion of doses etc. have lead to the development of MDR among pathogens for the treatment of diseases. According to WHO report 80% of the world population gamble on plants for traditional medicines and 40% of the industries depend on plants to produce drugs (Jain, 2017). However, many challenges have been lined up regarding the pharmaceutical application of plants which International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 9 Number 6 (2020) Journal homepage: http://www.ijcmas. com
Characterisation of Bifidobacterium animalis subsp. lactis BB-12 and other probiotic bacteria using genomics, transcriptomics and proteomics

Determination of the complete genome sequence of a probiotic bacterium allows a number of new approaches to understanding the biology of the bacterium and provides new insight into the beneficial effects obtained through the use of probiotic products. Genomic information for B. animalis subsp. lactis strain BB-12 has been used to make microarrays and characterise the proteome of this important probiotic strain. These tools have been used to characterise other Bifidobacterium strains and to develop a better understanding of the stresses BB-12 is exposed to during industrial-scale production. In addition, changes in gene expression when cells are grown in the presence of bile salts or fructooligosaccharides have been determined. A comparison of information derived from the genome sequence of BB-12 to information derived from the published genome sequences of other probiotic bacteria is also provided.
Extracellular, biosynthesis of silver nanoparticles using Enterobacter cloacae (mk163462) and their antibacterial activity against certain multidrug resistant pathogens

In the present investigation, the extracellular biosynthesis of silver nanoparticles using the culture filtrate of silver resistance isolate Enterobacter cloacae (MK163462) was reported. The biosynthesized silver nanoparticles were characterized by UV-Visible spectrophotometer, FT-IR, SEM and XRD analysis. The AgNPs were spherical, with a size ranged from 12 to 30 nm. Antibacterial activity and synergistic potential of synthesized silver nanoparticles were assessed against certain MDR strains. The silver nanoparticles alone and combination with antibiotics showed greater antibacterial activity against all the MDR strains used in the present study.
Variación del adn mitocondrial en población indígena mexicana del estado de Puebla

Mitochondrial adn (mt dna ) has been widely used as a genetic marker in studies of phylogeny and human evolution. Its uniparental inheritability allows tracing the divergent maternal lineages among populations, as well as geographic dispersal routes. Dating these events becomes possible with the knowledge of their mutation rate. Variants contained within the genome can be grouped, identifying the occurrence of diagnostic mutations, in what is called haplogoups. In America there are five haplogroups that represent the diversity of our native populations (A, B, C, D and X). For purposes of this study, we analyzed sequences of the hypervariable region I of 50 individuals from two indigenous communities: Totonac and Nahua, both from the Sierra Norte de Puebla. The frequencies of mitochondrial haplogroups in these populations are consistent with those reported previously in wich haplogroup A2 is the most frequent (.74), followed by haplogroup B2 (.20); haplogroup D is present only in the Totonac population but with very low frequency. A higher haplotype diversity in the Nahua group, which may be due to the integration of new variants in mixing processes in this group during the period of the Mexica empire expansion. There is a higher number of polymorphic sites in the Totonac population, which supports historical data that present this population as originating in the region; the higher representation Totonac individuals ancient node in the network of haplogroup A2 supports this proposal.
Assessment study of some hematological indices in cholesterol-induced hyperlipidemic rabbits treated with Nigerian honey

Background: Honey, a product of honeybees is a natural and viscous liquid that is said to be a highly nutritive. It varies in physical and chemical properties depending on the temperature, method of cultivation and other elements. It was the aim of this study to assess possible changes in some hematological indices in cholesterol-induced hyperlipidemic rabbits fed with varying doses of Nigerian honey. Methods: Twenty-five female rabbits were randomly separated into 5 groups (A-E) with 5 animals per group. Groups A-D animals were fed on high cholesterol diet (HCD) orally daily for a period of 2 weeks, to induce hyperlipidemia; Groups A-C animals were fed daily with 10ml/kg, 5ml/kg and 1ml/kg body weight of honey respectively for another period of 2 weeks after hyperlipidemia had been observed. Group E served as control. Blood sample was collected from the marginal ear vein of the animals at baseline, after cholesterol induction and after honey administration. Results were expressed as mean ± standard error of mean and P-value ≤ 0.05 was considered as statistically significant. Results: With a high cholesterol diet (HCD), Red blood cell (RBC) count and Packed cell volume (PCV) were significantly decreased (P ≤ 0.05) while platelet count was increased (P ≤ 0.001). Honey administration for 2 weeks produced a significant increase in PCV (P ≤ 0.01) and platelet count (P ≤ 0.001). Conclusions: An increase in the rate of hematopoiesis mat be the mechanism through which honey increased blood parameters. The overall effect of honey on blood count as seen in rabbits if applicable to man may be a good remedy for the management of anemia. Keywords: hematology, cholesterol-induced, hyperlipidemic, honey
AUGMENTING THE EFFICIENCY OF SCAFFOLDING IN MEDICAL THERAPIES WITH THE ADVENT OF NANOTECHNOLOGY

The art of manipulating materials on atomic or molecular scales that give rise to nano sized structures and devices is dynamically pioneered and instituted into the world by the name nanotechnology. The field of nanotechnology has ratified its command and is intensifying quickly with its ongoing work in the design, characterization, synthesis, and application of materials and systems by controlling shape and size at nanometer scale. Towards solving the problem of biology and medicine, many efforts have been focused in the direction of the use of nanostructures. This study starts with the main highlights of the types of Nanoscaffolds, surface modification of these scaffolds, applications of Nanoscaffolds in tissue regrowth and terminates with interaction of cells with scaffolds. We have multiple minds all around globe as a result having different perspectives of using these novel technologies in the domain of medical treatment and diagnosis. However, there are many ethics that arose with any new technology amongst supporters and opponents but now is the time to embrace the changes and not been clung to the old ways. So, let us welcome these novel technologies which pave the way for trimming down much of our problems.
Grazing impact of Mytilus edulis L. and Dreissena polymorpha (Pallas) in the Gulf of Riga, Baltic Sea estimated from biodeposition rates of algal pigments

Grazing rates of Mytilus edulis and Dreissena polymorpha were estimated in the Gulf of Riga in May and July 1996. The faecal material was quantified using chlorophyll a (Chl a) as tracer for planktonic algae. Faeces production rate of M. edulis (shell length: 20 mm) ranged from 0.02 to 0.40 μg Chl a equivalent ind. - 1 h - 1 and that of D. polymorpha from 0.01 to 0.85 μg Chl a equivalent ind. - 1 h - 1 , respectively. Filtration rates of the mussels were lower at lower temperatures in May. The defaecation rate increased curvlinearly with ambient concentration of Chl a and levelled off at high food concentration. After correcting for loss of fluorescent material during gut passage the population grazing impact of M. edulis was estimated at 8% d - 1 of the Chl a stock in the littoral zone in May and 67% d - 1 in July. The values for D. polymorpha were 5% d - 1 and 29% d - 1 , respectively. A high grazing impact by M. edulis in the coastal zone during summer was supported by strong horizontal and vertical gradients in Chl a. Hence, the populations of benthic suspension feeders in the littoral zone of the Gulf of Riga constitute an important sink for primary production, especially in summer.
Bayesian Genome-wide Mapping Interacting QTL for Survival Time

In survival analysis, the accelerated failure time (AFT) model, as it is a linear function of the logarithms of survival times on covariates with easily interpretable parameters, is considered to be a useful alternative to the proportional hazards model (PHM). To dissect complex genetic architecture for survival traits, which have a skewed distribution and are often subject to censoring, we construct a multiple interacting QTL model based on the parametric AFT model with the baseline distribution of log-t distribution. Bayesian model selection is proposed to estimate the main and epistatic effects of QTLs in a computationally efficient manner, in which, the prior distribution of the scaled parameter in the AFT model is specified as the inverted chi-square distribution rather than a constant. Simulation experiments showed that our proposed method was superior to Bayesian method for normal phenotypes in terms of both the statistical powers of QTL detection and the precision of QTL parameter estimation. Three new pairs of epistatic QTLs were found in analyzing a real dataset for flowering time in rice.
Neue Hydrobiiden (Gastropoda, Prosobranchia, Hydrobiidae) aus dem Becken des Skutari-Sees (Montenegro/Albanien)

New hydrobiids (Gastropoda, Prosobranchia, Hydrobiidae) from the basin of Lake Skutari (Montenegro/Albania) During investigations of the mollusc fauna of Montenegro and Albania from 2006 to 2008 several new species and subspecies of gastropods were found. Two of these, Plagigeyeria zetaprotogona vitoja n. subsp. and Iglica gittenbergeri n. sp. , are described here.
Fungal diversity of marine biofilms on artificial reefs in the north-central Gulf of Mexico

Abstract We present the first characterization of fungal community diversity of natural mixed-species biofilms on artificial marine reefs. Four artificial reefs in the Mississippi (MS) Sound, USA, representing low-profile (underwater) and high-profile (periodically air-exposed) conditions were sampled every 3 months over a 23-month period to investigate changes in fungal diversity within reef biofilms. Fungal presence was assessed via PCR amplification of the internal transcribed spacer (ITS) region of fungal ribosomal DNA, and by terminal restriction fragment length polymorphism (T-RFLP) analysis of fungal ITS regions – the latter being used to track variation in fungal community structure with respect to season, location, and reef profile type. Fungal communities were also characterized taxonomically through both morphological identification and phylogenetic comparisons of ITS gene sequences, with 36 fungal genera cultured from reef biofilms. Using a multivariate statistical approach, significant temporal and spatial differences in fungal biofilm communities were detected. High-profile reefs differed significantly in biofilm fungal community composition across the 10 sampling periods. This assessment of marine fungal biofilm communities over time provides novel insights into the fungal diversity present on artificial reefs in an understudied region, the north-central Gulf of Mexico.
Physically-Based Animation in Performing Accuracy Bouncing Simulation

This study investigates the use of physics formulas in achieving plausible bouncing simulation in animation. The need for physics animation was to produce visually believable animations adhering to the basic laws of physics. Based on the review, the creation of accurate timing simulation in bouncing dynamic was significantly difficult particularly in setting keyframes. It was comprehensible that setting the value of keyframes was unambiguous while specifying the timing for keyframes was a harder task and often time-consuming. The case study of bouncing balls’ simulation was carried out in this research and the variables of mass, velocity, acceleration, force, and gravity are taking into consideration in the motion. However, the bouncing dynamic is a significant study in animation. It is often used and it shows many different aspects of animations, such as a falling object, walking, running, hopping, and juggling. Therefore, the physical framework was proposed in this study based on numerical simulations, as the real-time animation can be addressed for controlling the motion of bouncing dynamic object in animation. Animation based physics algorithm provided the animator the ability to control the realism of animation without setting the keyframe manually, to provide an extra layer of visually convincing simulation.
Comparative analysis of traditional and modern apricot breeding programs: A case of study with Spanish and Tunisian apricot breeding germplasm

Traditional plant breeding is based on the observation of variation and the selection of the best phenotypes, whereas modern breeding is characterised by the use of controlled mating and the selection of descendants using molecular markers. In this work, a comparative analysis of genetic diversity in a traditional (Tunisian) and a modern (Spanish) apricot breeding programme was performed at the phenotypic and molecular level using simple sequence repeat (SSR) markers. Seven phenotypic traits were evaluated in 42 Tunisian apricot accessions and 30 genotypes from the Spanish apricot programme. In addition, 20 SSR markers previously described as linked to specific phenotypic traits were assayed. Results showed that modern breeding using controlled crosses increases the size of the fruit. The fruit weight average observed in the Tunisian cultivars was of 20.15 g. In the case of traditional Spanish cultivars the average weight was 47.12 g, whereas the average weight of the other progenitors from France, USA and South Africa was 72.85 g. Finally, in the new releases from the CEBAS-CSIC breeding programme, the average weight was 72.82 g. In addition, modern bred cultivars incorporate desirable traits such as self-compatibility and firmness. Cluster and structural analysis based on SSR data clearly differentiates the genotypes according to their geographic origin and pedigree. Finally, results showed an association between some alleles of PaCITA7 and UDP96003 SSR markers with apricot fruit weight, one allele of UDAp407 marker with fruit firmness and one allele of UDP98406 marker with fruit ripening.
Variable pollinator dependence of three Gastrodia species (Orchidaceae) in modified Canterbury landscapes

Pollination is an ecosystem service affected by anthropogenic activity, often resulting in reduced fruit set and increased extinction risk. Orchids worldwide have a wide range of pollination systems, but many New Zealand orchids are self-pollinating. We studied the pollination system of three saprophytic native orchids from the genus Gastrodia in modified landscapes in Canterbury, New Zealand: G. cunninghamii, G. minor, and an undescribed taxon G. “long column”. The species showed two distinct pollination systems. Gastrodia cunninghamii and G. minor were autonomous selfing species. In contrast, G. “long column” had almost no fruit set when pollinators were excluded, and was visited by the endemic New Zealand bee Lasioglossum sordidum, which acted as a pollen vector in order to produce fruit. Visitation rate by L. sordidum varied among four sites around Christchurch, and natural fruit set in G. “long column” ranged from 76% where L. sordidum were abundant to 10% where bees were not observed. Oddly, some of the highest natural fruit-set rates were at a highly modified urban site. Therefore, while some Gastrodia species are dependent on native pollinators, they can still persist in highly modified landscapes.
Effects of soil-burial depths on the relationship between seed mass and seed emergence

Aims Seed emergence is a key stage of plant life history and thus of important impacts on interspecific relationships and community composition. Increasing evidence has shown that seed mass determines (or strongly affects) seed emergence within a species, but it has seldom been tested across species at different depths of soil burial. Accordingly, the purpose of this study was to examine the influence of soil burial depths on the relationship between seed mass and seed emergence. Methods We performed a full-factorial experiment. Two factors included plant species (i.e. Achillea millefolium, Achnatherum sibiricum, Chenopodium glaucum, Centaurea maculosa, Medicago falcata, pratensis, P. secunda, Solidago canadensis, Stipa bungeana and