Online ISSN: 2515-8260

Keywords : identification


A Study of orbital index in south Indian west population

Dr. Mubeena Shaikh

European Journal of Molecular & Clinical Medicine, 2021, Volume 8, Issue 4, Pages 2906-2909

Background:Orbital Index is one of the most commonly studied and one of the easiest ways
to find the race of the individual. India being a country where diversity is seen at every step
this study puts in an effort to find if there are any and also this study along with some other
studies in this region tries to put a baseline measurement for this population.
Aims and Objectives: To study the orbital index in south west population
Materials and Methods: 300 dry skulls were used to study the same.
Results:There is a slight variation in the right when compared to the left but statistically
insignificant.
Conclusion:This study forms the base on which future studies can be made and compared.

ISOLATION AND IDENTIFICATION of SOME BACTERIAL PATHOGENS FROM SUBCLINICAL MASTITIS of SHEEP in KIRKUK CITY, IRAQ

Almass.M. AL- bayati; Hala. M. Majeed; Ziyad. T. AL- doori

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 9, Pages 383-391

Background:- Mastitis is the term for a bacterial infection of the udder. It is most
common in ewes raising multiple lambs or with high milk production. Most cases occur
during the first weeks after lambing or immediately before weaning. Good ewe
nutrition and providing a clean lambing environment are important factors in reducing
the incidence of mastitis.
Objective: The study was focused on using of rapid & efficient methods for detection of
Subclinical Mastitis in 4 small holder dairy flock in central of Kirkuk &its affiliated
areas.
Material and Methods:- A total of 94 milk samples sheep were collected from four
farms in October to December 2018 to determine pathogens responsible for subclinical
mastitis in sheep.
Results:- Screening Subclinical Mastitis(of SCM) were done using California mastitis
and White Slide Test (WST). the prevalence percentage of SCM in California mastitis
and White Slide Test according the early stage lactation was(74 % and 70%)
respectively. While the prevalence percentage of SCM in California mastitis and White
Slide test according the according the dry period lactation was(66 % and 64 % )
respectively. identification of the isolates was achieved using Gram’s staining,
hemolytic pattern, colony morphology, Catalase , Coagulase test, IMVIC test and
confirmation of bacteria species by using Vitek 2 compact after identification to the
primary biochemical tests using Analytical Profile Index. Bacteriological examination of
all milk samples found the presence of (82.85% ) isolates where Staphylococcus was
predominant species (74.28 %) and the coagulase negative Staphylococcus (25.7% )
species was identified at the least bacteria .than staph. aureus, while environmental
pathogen represented E. coli second common pathogen followed by klebsiella
pneumonia (14.8% ) , Manhemia haemolytica (12.8 %) proteus spp.( 11.4%) And low
percentage to the Enterobacter spp. (4.3 %) .
Conclusion:- subclinical mastitis seems to be, as deduced from the high prevalence
observed in this study, an important health problem for milking sheeps in the Kirkuk
Application of VITEK system could be practiced at selected samples from time to time
to confirm identification of causative organisms.

MEDICINAL PLANT IDENTIFICATION USING ANDR OID APPLICATION BASED ON LEAF IMAGE

K. Priya; S. Ranjana; R. Manimegala

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 9, Pages 1496-1506
DOI: 10.31838/ejmcm.07.09.161

MedPlant provides this work as a modern smartphone leaf picture recognition tool for medicinal plants. The software operates on the operating system Android. MedPlant has two key functions, i.e. recognition of medicinal plants and quest data for medicinal plants. To identify the picture, we have used local binary patterns to extract texture and probabilistic neural network. In this study, 30 Indonesian species of medicinal plants were used and there are 48 digital pictures of growing species.We used a questionnaire focused on heuristic assessment to assess user feedback for the program. The findings of the assessment indicate that MedPlant is effective in distinguishing medicinal plants. MedPlant can help to classify medicinal plants, explore new plant varieties and plant taxonomy in the botanic garden or in the maintenance of natural parks. This also lets individuals, organizations and societies discover their capacity to maximize the value of health plants without usage and without growth. The results would improve MedPlant's wealth, capital and economic richness.

Detection and Identification of Forest Firing using Convolution Neural Network

Himanshu Sharma; Narendra Mohan

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 4, Pages 126-129

Forest fire is a significant natural issue, making practical and biological harm while imperiling the human lives. The key component for controlling such marvel is fast identification .To accomplish this, one option is using neural networks to identify the fires, such that we implement Forest fire Detection. By using this convolution Neural Networks we detecting the fires that occur in the forest. Later we intimate message to forest officers then they take immediate action. CNN is a calculation that takes an input picture, assign the consequences (learnable loads and predispositions) to dissimilar perspectives in the picture and have the option to divide one from the other.