Showing 7 results for Thomas
Volume 2, Issue 3 (9-2014)
Abstract
Determining landslide size could be a difficult and expensive task. In this research, size parameters of 142 landslides recognized in Tajan River Basin, northern Iran, have been assessed. The dataset was prepared through the extensive field surveys and using the satellite imagery available via Google Earth. Dependence between landslides area (A-m2), volume (V-m3), and depth (D-m) was appointed by the Pearson correlation coefficient (r) at 0.05 and 0.01 levels. Then, the relation between the area and volume variables has been investigated using 10 curve estimation (CE) models. Coefficient of determination (R2), F statistic, and RMSE were calculated to compare the models with each other. Results showed that the power law fit the data better than other CE models. Although, the quadratic and cubic relationships have represented high R2 and low RMSE, they have resulted negative estimated volumes, and also their F statistic is less than its value in power law. To achieve a better result, the estimated volumes were compared with the observed ones using paired test. Results indicated that the estimated volumes were in conformity with the observed ones and there was no statistically significant difference between them (R2=0.801, sig=0.633). Although, the estimated depths were significantly different from the observed ones. The mean depth was estimated 5.5 m which was close to mean of the actual depths (5.53 m).
Volume 6, Issue 4 (12-2020)
Abstract
Traditionally, entomologists have used destructive methods especially dissection in order to investigate the important taxonomic characters of specimens. New technologies for imaging and analyzing in taxonomy, offer opportunities to deposit three-dimensional (3D) data to proposed for rare and valuable type materials in museums and collections. Micro-computed tomography, as a non-destructive imaging technique, has become an emerging and progressive technology in insect science. However, this technology is rarely used in entomology compared to in medical and industrial applications. In this study, MicroCT imaging protocols are explained in detail using three species of braconid wasps: Aleiodes arnoldii Tobias, 1976 (Braconidae: Rogadinae), Hormius moniliatus Nee, 1811 (Braconidae: Hormiinae) and Macrocentrus bicolor Curtis, 1833 (Braconidae: Macrocentrinae). MicroCT scan data of three braconid wasp species from Iran, depicted main identification of skeletal body parts. A brief step-by-step is provided on image acquisition, 3D reconstruction and mesh editing to create a virtual model of the species utilized for morphological and morphometric studies. As a result, the use of micro-computed tomography as a non-invasive virtual examination tool was explored. The complete datasets containing the raw TIFF MicroCT data, 3D models and 3D rotation videos available for download at http://www.morphosource.org/Detail/ProjectDetail/Show/project_id/822
Volume 8, Issue 1 (Winter 2022)
Abstract
Background: Malnutrition is a major cause of morbidity and mortality in children under five years. This study aimed to evaluate malaria and urinary tract infections among children under five years of age with malnutrition.
Materials & Methods: This cross-sectional study was carried out on 189 children under five years with malnutrition. Their weight and height were measured using standard scales. Weight to height/length (wasting), weight to age (underweight), and height/length to age (stunting) ratios were computed using WHO growth charts. Clinical features were assessed. Blood smear, rapid diagnostic test for malaria, as well as urine dipstick test were done to detect those with malaria and urinary tract infections.
Findings: About 80.95% of participants had marasmus, and 11.64% had marasmic kwashiorkor, while 7.41% had kwashiorkor. Also, 23.70 and 62.42% of participants had moderate and severe malnutrition, respectively; in addition, 21.69 and 2.12% were moderately and severely stunted, respectively. Regarding underweight (weight to age), 50.26 and 4.76% were moderately and severely underweight, respectively. Also, 15.87% of participants had a positive blood smear for malaria, and 19.58% had a positive rapid diagnostic test for malaria, while 20.11 and 20.63% had positive results for nitrite and leukocyte esterase activity in urine dipstick test, respectively.
Conclusion: Malaria and urinary tract infections are common among children with malnutrition and could be diagnosed using simple laboratory tests such as rapid diagnostic tests and urine dipstick tests in health facilities without laboratory support in resource-limited countries.
Volume 9, Issue 1 (Winter 2023)
Abstract
Backgrounds: This study aimed to analyze the applicability of platelet parameters in assessing the severity of COVID-19 disease.
Materials & Methods: Patients with RT-PCR confirmed COVID-19 in the pathology department of a tertiary care hospital in south India from June to December 2020 were included in this study. Clinical details and laboratory parameters of these patients were obtained. The difference between the studied variables in two groups was assessed using independent t-test. The optimum cut-off value of platelet to lymphocyte ratio (PLR) to differentiate between the tested groups was estimated using ROC (receiver operator curve) analysis.
Findings: This study was conducted on 218 COVID-19 patients, of whom 17.9% showed thrombocytopenia at the time of admission. Among the hematological parameters, PLR, absolute lymphocyte count (ALC), platelet distribution width (PDW), D-dimer, and erythrocyte sedimentation rate (ESR) were significantly different between the ICU (intensive care unit) and non-ICU groups. Increased PLR values were associated with the disease severity.
Conclusion: PLR could be used as an additional biomarker in assessing the severity of COVID-19 disease, and a cut-off value of 210.27 is optimal to differentiate severe COVID-19 disease from its mild and moderate forms with 79% specificity.
Volume 10, Issue 1 (3-2024)
Abstract
The present study reports new records of the Collembola (Arthropoda: Hexapoda) from the Bula Hyrcanian forest located in Mazandaran province, north of Iran. The results show two genera Spatulosminthurus Betsch & Betsch-Pinot, 1984 (Sminthuridae) and Wankeliella Rusek, 1975 (Tullbergiidae) and five species including Anurophorus alpinus Potapov & Stebaeva, 1990 (Isotomidae), Pseudosinella cf. decipiens Denis, 1924 and P. immaculata (Lie Pettersen, 1896) (Entomobryidae), Superodontella tyverica Kaprus, 2009 (Odontellidae), and Wankeliella bescidica Smolis & Skarżyński, 2004 (Tullbergiidae) are new records for Collembola fauna of Iran.
Volume 10, Issue 3 (9-2024)
Abstract
The study of insect morphology has recently benefited greatly from the emergence of new digital imaging and analysis technologies such as X-ray Micro-computed tomography (μ-CT), digital 3D reconstruction, and animation. Through interactive gaming and virtual reality, the external morphology of insects can be studied by a broad audience of both entomologists and non-specialists. EntomonVR is a serious game designed to investigate the external morphology of insects with adequate quality for the virtual reality platform. In this research, we discuss the advantages of virtual reality, introduce the EntomonVR new educational game, and conclude about future perspectives, validations, and cost-effectiveness. We tested this game on 25 participants with an entomological background for assessment and improved it based on their feedback. This study demonstrates the efficacy of virtual reality technology for an experimental learning environment in teaching the morphology of insects and the crucial need for advancing an efficient and interactive educational program.
Volume 10, Issue 4 (12-2024)
Abstract
New record of carabid species Loxoncus renitens (Bates, 1886) from Indian mainland with additional records of subspecies Idiomelas fulvipes indus Kataev, 1997 from the states of Kerala, Tamil Nadu and Karnataka with notes on their geographical distribution are provided.
