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Urothelial Tumors of the Urinary Bladder in Manipur: A Histopathological Perspective
Laishram, Rajesh Singh,Kipgen, Paokai,Laishram, Sharmila,Khuraijam, Sucheta,Sharma, Durlav Chandra Asian Pacific Journal of Cancer Prevention 2012 Asian Pacific journal of cancer prevention Vol.13 No.6
Objective: To study the histomorphological pattern of urothelial tumors of the urinary bladder in Manipur and to evaluate whether any correlation exists between tumor grade and muscle invasion. Methods: A 10 year retrospective study of all consecutive cases diagnosed in the Department of Pathology RIMS - Imphal, between $1^{st}$ January 2001 to $31^{st}$ December 2010. Results: The study included 26 cases of transitional cell tumors of urinary bladder. The male to female ratio was 1.5:1 and the ages ranged from 38 years to 73 years (medians of 60 and 64 years, respectively). Of the total, 14 (53.9%) cases were low grade, 9 (34.6%) were high grade, 2 (7.7%) were papillomas and 1 (3.9%) was a papillary urothelial neoplasm of low malignant potential (PUNLMP). Pathological staging showed that 14 (53.9%) of the cases were stage PTa, four (15.4%) PT1, and eight (30.9%) PT2. Some 18.2% of low grade tumors and 75% of high grade tumors were invasive to the detrusor muscle layer. Conclusion: Bladder cancer is an uncommon disease, transitional tumors being the only histological type observed. It was more common in males than females, with peak incidence in seventh decade. Most of the tumors were non-invasive (PTa) and invasion to the detrusor muscle layer was seen in more than half of the high grade tumors. There is a definite correlation between advancing tumor grade and muscle invasion.
Ecological context of infant mortality in high-focus states of India
Laishram Ladusingh,Ashish Kumar Gupta,Awdhesh Yadav 한국역학회 2016 Epidemiology and Health Vol.38 No.-
OBJECTIVES: This goal of this study was to shed light on the ecological context as a potential determinant of the infant mortality rate in nine high-focus states in India. METHODS: Data from the Annual Health Survey (2010-2011), the Census of India (2011), and the District Level Household and Facility Survey 3 (2007-08) were used in this study. In multiple regression analysis explanatory variable such as underdevelopment is measured by the non-working population, and income inequality, quantified as the proportion of households in the bottom wealth quintile. While, the trickle-down effect of education is measured by female literacy, and investment in health, as reflected by neonatal care facilities in primary health centres. RESULTS: A high spatial autocorrelation of district infant mortality rates was observed, and ecological factors were found to have a significant impact on district infant mortality rates. The result also revealed that non-working population and income inequality were found to have a negative effect on the district infant mortality rate. Additionally, female literacy and new-born care facilities were found to have an inverse association with the infant mortality rate. CONCLUSIONS: Interventions at the community level can reduce district infant mortality rates.
Laishram Menalsh,Mandal Satyendra Nath,Haldar Avijit,Das Shubhajyoti,Bera Santanu,Samanta Rajarshi 아세아·태평양축산학회 2023 Animal Bioscience Vol.36 No.6
Objective: Iris pattern recognition system is well developed and practiced in human, however, there is a scarcity of information on application of iris recognition system in animals at the field conditions where the major challenge is to capture a high-quality iris image from a constantly moving non-cooperative animal even when restrained properly. The aim of the study was to validate and identify Black Bengal goat biometrically to improve animal management in its traceability system. Methods: Forty-nine healthy, disease free, 3 months±6 days old female Black Bengal goats were randomly selected at the farmer’s field. Eye images were captured from the left eye of an individual goat at 3, 6, 9, and 12 months of age using a specialized camera made for human iris scanning. iGoat software was used for matching the same individual goats at 3, 6, 9, and 12 months of ages. Resnet152V2 deep learning algorithm was further applied on same image sets to predict matching percentages using only captured eye images without extracting their iris features. Results: The matching threshold computed within and between goats was 55%. The accuracies of template matching of goats at 3, 6, 9, and 12 months of ages were recorded as 81.63%, 90.24%, 44.44%, and 16.66%, respectively. As the accuracies of matching the goats at 9 and 12 months of ages were low and below the minimum threshold matching percentage, this process of iris pattern matching was not acceptable. The validation accuracies of resnet152V2 deep learning model were found 82.49%, 92.68%, 77.17%, and 87.76% for identification of goat at 3, 6, 9, and 12 months of ages, respectively after training the model. Conclusion: This study strongly supported that deep learning method using eye images could be used as a signature for biometric identification of an individual goat.
Vivek Laishram,Potsangbam Albino Kumar 한국탄소학회 2023 Carbon Letters Vol.33 No.1
The present study focuses on the adsorption of organic matter mainly COD from pretreated landfill leachate of Lamdeng Khunou Solid Waste Management Plant, Manipur, India through the employment of H3PO4 treated activated carbon derived from Parkia speciosa (Petai) pods (PPAC). The adsorbent was analyzed for morphological and surface characterization by various methods including, Field emission scanning electron microscopy (FESEM), Energy Dispersive X-Ray Analysis (EDAX), Brunauer–Emmett–Teller (BET) surface area and pH at zero point charges ( pHZPC). The impacts of adsorption processes such as initial pH, temperature, equilibrium time and dose of adsorbent were considered to evaluate the performance of PPAC. At 20 °C, PPAC showed maximum COD removal of 93% within 90 min contact time, at optimum pH 2. Adsorption kinetic was able to explain by Lagergren’s pseudo-second-order equation and intraparticular diffusion models suggesting the combined behavior of both the physical and chemical adsorption of COD on PPAC. Through thermodynamics and isotherm studies, the adsorption of COD on PPAC is revealed to be exothermic with maximum monolayer coverage of 200 mg COD/g PPAC. The performance of the PPAC adsorbent is also compared with other existing reported adsorbents for treating leachate.
Low frequency magnetoelectric effect in Bi0.5Na0.5TiO3-Ni0.5Zn0.5Fe2O4 particulate composites
Parminder Singh,Radhapiyari Laishram,Jayant Kolte,Jayant Kolte,Puneet Sharma 대한금속·재료학회 2023 ELECTRONIC MATERIALS LETTERS Vol.19 No.5
We report structural, dielectric, ferroelectric, magnetic, and low frequency magnetoelectric ( ME ) properties of (1− x ) Bi 0.5 Na 0.5 TiO 3 (BNT)– x Ni 0.5 Zn 0.5 Fe 2 O 4 (NZFO) (x = 0.05–0.30) microwave sintered particulate composites. Distinct phases of BNT and NZFO were confi rmed by X-ray diff raction and scanning electron microscopy. Raman spectroscopy measurement showed the absence of micro-strains within the composite. The temperature dependent dielectric studies revealed the ferroelectric to anti-ferroelectric transition at 220 °C and anti-ferroelectric to paraelectric transition at 320 °C. The ac conductivity showed both frequency dependent and independent behavior. Temperature dependent dc conductivity showed that upto 200 °C charge conduction is due to hopping of electrons, whereas at higher temperature diff usion of oxygen vacancies are responsible for the conduction. Ferroelectric and leakage current density measurements showed enhanced conduction losses with NZFO content. The maximum ME coeffi cient at 10 Hz frequency is obtained for 0.80BNT–0.20NZFO (4.33 mV/ cm.Oe at 800 Oe).
Genetic Diversity among Indian Oak Tasar Silkworm, Antheraea proylei J. Revealed by ISSR Markers
( Kanghujam Ibsorani Devi ),( Kangayam M. Ponnuvel ),( Laishram Somen Singh ),( Kangjam Chaoba Singh ),( Karabi Dutta ) 한국잠사학회 2012 International Journal of Industrial Entomology Vol.24 No.2
The Indian Oak Tasar silkworm, Antheraea proylei J. is a beneficial insect with great economic importance in India for its silk production. In this study, six populations of Antheraea proylei and A. frithi Moore (as an out group) were subjected to inter simple sequence repeat (ISSR) marker analysis in order to assess its genetic diversity. Fifteen ISSR primers produced 91 markers among different breeds of A. proylei and A.frithi of which 89 are polymorphic, generating 97.8% polymorphism. The dendrogram constructed using the Unweighted Pair Group Method with Arithmetic Mean (UPGMA) and cluster analysis made using Nei`s genetic distance resulted in the formation of one major group containing four sub-groups separating the breeds. This result suggests that ISSR amplification is potentially useful for molecular characterization of oak tasar silkworm genotypes.
Genetic Diversity among Indian Oak Tasar Silkworm, Antheraea proylei J. Revealed by ISSR Markers
Devi, Kanghujam Ibsorani,Ponnuvel, Kangayam M.,Singh, Laishram Somen,Singh, Kangjam Chaoba,Dutta, Karabi Korean Society of Sericultural Science 2012 International Journal of Industrial Entomology Vol.24 No.2
The Indian Oak Tasar silkworm, Antheraea proylei J. is a beneficial insect with great economic importance in India for its silk production. In this study, six populations of Antheraea proylei and A. frithi Moore (as an out group) were subjected to inter simple sequence repeat (ISSR) marker analysis in order to assess its genetic diversity. Fifteen ISSR primers produced 91 markers among different breeds of A. proylei and A. frithi of which 89 are polymorphic, generating 97.8% polymorphism. The dendrogram constructed using the Unweighted Pair Group Method with Arithmetic Mean (UPGMA) and cluster analysis made using Nei's genetic distance resulted in the formation of one major group containing four sub-groups separating the breeds. This result suggests that ISSR amplification is potentially useful for molecular characterization of oak tasar silkworm genotypes.
Genetic diversity among Indian oak tasar silkworm, Antherea proylei J.revealed by ISSR markers
Kanghujam Ibsorani Devi,Kangayam M. Ponnuvel,Laishram Somen Singh,Kangjam Chaoba Singh 한국잠사학회 2012 International Journal of Industrial Entomology Vol.24 No.2
The Indian Oak Tasar silkworm, Antheraea proylei J. is a beneficial insect with great economic importance in India for its silk production. In this study, six populations of Antheraea proylei and A. frithi Moore (as an out group) were subjected to inter simple sequence repeat (ISSR) marker analysis in order to assess its genetic diversity. Fifteen ISSR primers produced 91 markers among different breeds of A. proylei and A. frithi of which 89 are polymorphic, generating 97.8% polymorphism. The dendrogram constructed using the Unweighted Pair Group Method with Arithmetic Mean (UPGMA) and cluster analysis made using Nei’s genetic distance resulted in the formation of one major group containing four sub-groups separating the breeds. This result suggests that ISSR amplification is potentially useful for molecular characterization of oak tasar silkworm genotypes.