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Knowledge about Condoms among Adolescents in Kathmandu Valley
2009
Journal of Nepal Paediatric Society
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The issues of sexual and reproductive health (SRH) remain the leading cause of ill health among adolescents worldwide and are of growing concern in Nepal. The correct knowledge of condoms is integral part of SRH. The present study was carried out to assess and compare the knowledge about condoms among adolescents in the Kathmandu valley of Nepal. Aim: To study, assess and compare the knowledge about condoms among adolescents in the Kathmandu valley of Nepal. Methods: The study was a
doi:10.3126/jnps.v30i1.2455
fatcat:shzcc77tqngbdokp2vqzhldpoy
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... nal questionnaire-based survey. The sample was derived through cluster sampling of the secondary schools in the Kathmandu valley. Schools were selected randomly and two hundred and fifty adolescents were taken from each government and non-government high schools. Result: Altogether 500 adolescents were recruited for this study. A total of 298 (53.0%) participants said that condoms reduced pleasure. Most women don't like to use condoms was agreed by 291 (55.6%) people and it was statistically significant (p value < 0.05) when compared between males and females. Using condoms with new partner is a good idea was agreed upon by 448 (81.0%) participants. Women should ask their partners to use condoms was answered by 480 (88.1%) and discussing condom use with prospective partner is easy was agreed by 417(79.0%) and both the issues were also statistically significant (p value < 0.05). Conclusion: It was found that the knowledge about condoms was not adequate and the knowledge among male participants was in general better than females.
Spindle: Techniques for Optimizing Atomic Multicast on RDMA
[article]
2021
arXiv
pre-print
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Leveraging one-sided RDMA for applications that replicate small data objects can be surprisingly difficult: such uses amplify any protocol overheads. Spindle is a set of optimization techniques for systematically tackling this class of challenges for atomic multicast over RDMA. These include memory polling optimizations using novel sender and receiver batching techniques, null-message send logic, and improved multi-thread synchronization. We applied Spindle to Derecho, an open-source C++
arXiv:2110.00886v1
fatcat:l2ockew2nfhnlao7y4otlhvsbe
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... for atomic multicast, and obtained significant performance improvements both for the library itself and for an OMG-compliant avionics DDS built over Derecho. Derecho's multicast bandwidth utilization for 10KB messages rose from 1GB/s to 9.7GB/s on a 12.5GB/s network, and it became more robust to delays. Interestingly, although some of our techniques employ batching, latency dropped by nearly two orders of magnitude. Spindle optimizations should also be of value in other RDMA applications limited by the speed of coordination.
Bounded-Rate Multi-Mode Systems Based Motion Planning
[article]
2014
arXiv
pre-print
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Bounded-rate multi-mode systems are hybrid systems that can switch among a finite set of modes. Its dynamics is specified by a finite number of real-valued variables with mode-dependent rates that can vary within given bounded sets. Given an arbitrary piecewise linear trajectory, we study the problem of following the trajectory with arbitrary precision, using motion primitives given as bounded-rate multi-mode systems. We give an algorithm to solve the problem and show that the problem is co-NP
arXiv:1412.3670v1
fatcat:kzryrlskqzdgloxk4q5bl5z7eu
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... omplete. We further prove that the problem can be solved in polynomial time for multi-mode systems with fixed dimension. We study the problem with dwell-time requirement and show the decidability of the problem under certain positivity restriction on the rate vectors. Finally, we show that introducing structure to the multi-mode systems leads to undecidability, even when using only a single clock variable.
Pattern of Dermatological Diseases in the Patients of Army Hospital, Kathmandu
2010
Medical Journal of Shree Birendra Hospital
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Transport of pollutants from nearby catchments to the Nagarjuna Sagar Dam
2011
Radioprotection - Revue de la Societé Francaise de Radioprotection
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area has a proposed Uranium mining sites and Nagarjuna Sagar dam is the third largest man made dam which is the ultimate destination of all the rivulets in the Pedaguttu catchments. ...
The understanding of the fate of the various pollutants and its mobility in the catchments of Nagarjun Sagar dam built on the Krishna river is of utmost important .As the Pedaguttu and Lambarpur catchments ...
Jha et al. [8] . ...
doi:10.1051/radiopro/20116984s
fatcat:jejeqrzzebacvcuog5oacyffgu
Acrodermatitis enteropathica: a case report
2012
Medical Journal of Shree Birendra Hospital
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Acrodermati ti s enteropathica is rare congenital autosomal recessive disorder. Premature are parti cularly risk and disease is caused by zinc defi ciency due to a specifi c absorpti ve defect. This disease manifests in child as peevish, withdrawn and photophobia and develop vesicobullous dermati ti s on hands, feet and periorofi cial areas and alopecia. Diarrhea is oft en present. This also presents as shunted growth and decrease resistance to infecti on. Poor wound healing.A low plasma zinc
doi:10.3126/mjsbh.v10i2.6461
fatcat:4ol3aa5k4radzp6w7cciavvpbq
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... vel and Serum alkaline phospahtase are useful indicator of zinc status.
Verifying Information Flow Control over Unbounded Processes
[chapter]
2009
Lecture Notes in Computer Science
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Physiologic Skin Changes During Pregnancy
2013
Medical Journal of Shree Birendra Hospital
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Introducti on: Approximately 90% pregnant women are associated with skin changes. The skin undergoes profound alterati ons during pregnancy as a result of endocrine, metabolic and immunologic changes. Some of these are trivial and chiefl y cosmeti c, producing no or minor symptoms, others can be distressing and/or of major medical importance. For the necessity of proper and complex care of the pregnant woman,the knowledge about the changes are crucial. The ability of precise diagnosis of
doi:10.3126/mjsbh.v11i1.7767
fatcat:33adyqiglbf3bjg4sa62rapyha
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... ogical skin changes allows specifying the suspected cases of pathologic eti ology and referring them to the dermatological referral centers for in-depth diagnosis and eventual treatment. The aim of this study was to identi fy the incidence and types of dermatological changes in our populati on. Methods: Pregnant pati ents att ending the antenatal clinic of the Gynecology department in Shree Birendra Hospital, and presenti ng to the outpati ent clinic of the Department of Dermatology, Bir Hospital, for any dermatologic problem, were enrolled. The study spanned a period of 10months (January 2008 to October 2008). We evaluated 150 pregnant women to determine the patt ern of pregnancy-induced physiologic skin changes in Nepalese community. Results: Majority of pati ent developed dermatological changes in second and third trimester. The commonest sign was hyper pigmentati on of the skin followed by striae and edema. Fungal infecti ons were the commonest infecti ons observed,Tineacorporis accounti ng for 10 (6.66%) and ti neaversicolarwas seen in Eight (5.33%) pati ents. Three (2%) pati ents hadScabies. A total of 3 pati ents had sexually transmitt ed disease. 2 (1.3%) had Condyloma acuminate and 1 (.006%) had syphilis. Conclusions: Hyperpigmentati on was the commonest sign (87.33%) followed by striae (82%), edema (45.3%), vascular changes (17.3%) and melasma (8%). Varicositi es of veins, spider nevi and palmar erythema are relati vely less frequent in our populati on.
Music Feature Extraction And Recommendation Using CNN Algorithm
2022
ITM Web of Conferences
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In this age of technological advancements, it has become considerably easier for an individual to access a variety of music from a significant number of sources. Today, there are a multitude of songs of varying diversity available to users. Therefore, it becomes difficult for users to manually discover new music that may suit their liking. Thus arises the need for a system that will help the music streaming applications to recommend new music to their users that will befit their music taste,
doi:10.1051/itmconf/20224403026
fatcat:pa3fms5xbvarnlu3vjhmegh5ku
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... ed on some predetermined criteria. With the ever-expanding user and song database, the system must also be dynamic and its recommendations must be up-to-date and accurate. Therefore, there is a strong demand for a well-qualified music recommendation system. The proposed system focuses of technical features of audio. The main purpose of this systems is to classify songs in different genre using Deep Learning Algorithm. There are two main approaches for implementing these system, viz, Feature Extraction and Content Based Filtering.
Understanding COVID-19 in Nepal
2020
Journal of Nepal Health Research Council
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The novel coronavirus COVID-19 (SARS-CoV-2) was first reported in 31 December 2019 in Wuhan City, China. The first case of COVID-19 was officially announced on 24 January, 2020, in Nepal. Nine COVID-19 cases have been reported in Nepal. We aim to describe our experiences of COVID-19 patients in Nepal. Keywords: COVID-19; experience; Nepal.
doi:10.33314/jnhrc.v18i1.2629
pmid:32335607
fatcat:z6xpxiejzvdq3plr7fqpj7o6bq
Prevalence of Cardiovascular Risk Factors in Apparently Healthy Urban Adult Population of Kathmandu
2019
Journal of Nepal Health Research Council
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Cardiovascular diseases account for most deaths and major proportion of disabilities worldwide. Major cardiovascular risk factors are implicated in almost 75% of cardiovascular diseases. There has been a rapid increase in prevalence of such risk factors in apparently healthy young adults of urban population. This study aimed to find prevalence of such risk factors in order to implement preventive strategies against cardiovascular diseases in our setting.Methods: A free heart camp was organized
doi:10.33314/jnhrc.v16i41.1705
fatcat:ncgqtlj4tbadbp266mqcny5jae
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... ollowing wide dissemination of information through print, online, TV, radio and social media. Pretested data collection tool was used by trained enumerators using standard guidelines and calibrated devices. Demographic, anthropometric, physical examination and blood investigation data were obtained. Standard guidelines were followed to define and categorize the obtained information. Data was analyzed using SPSS V20.Results: A total of 5530 participants were enrolled after carefully applying inclusion and exclusion criteria. Mean age of study population was 38.14±13.03 years. There were 3298 (59.6%) males with mean age of 37.67±12.99 years and 2232 (40.4%) females with mean age of 38.84±13.05 years. Majority of study population (29.6%) belonged to 30-39 years age group. Prevalence of tobacco and alcohol consumption was 29.3%(95%CI:28.1-30.5) and 32.7%(95%CI:31.5-34.) respectively. Prevalence of inadequate fruits and vegetables intake, low physical activity and overweight or obesity was 75.4%(95%CI:74.3-76.6), 61.1%(95%CI:59.8-62.4) and 41.3%(95%CI:40.0-42.6) respectively. Prevalence of hypertension, diabetes and dyslipidemia was 26.4%(95%CI:25.3-27.6), 5.3%(95%CI:4.7-5.9) and 86.9%(95%CI:85.9-87.7) respectively. These results were statistically significant in both age and sex based distribution.Conclusions: Prevalence of major cardiovascular risk factors in apparently healthy adult population of Kathmandu Valley was high. Dyslipidemia, unhealthy diet, physical inactivity and overweight or obesity were most prevalent cardiovascular risk factors. Keywords: Cardiovascular risk factors; healthy adults; prevalence; urban population.
Isotretinoin Versus Weekly Pulse Dose Azithromycin In The Treatment Of Acne
2022
Nepal medical journal
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Acne vulgaris is one of the most common skin disorders. It mainly affects adolescent, though may present at any age. It differs from patient to patient. Thus, the treatment should be differing from individual patients. Methods: The comparative study between the efficacy of isotretinoin and pulse dose azithromycin was carried for one year. Sixty patients of moderate to severe acne were enrolled among 15 – 30 years' group divided into two equal groups. Isotretinoin 0.5-1mg/kg body weight given to
doi:10.37080/nmj.213
fatcat:zmgpsp5tivggpdufpq6mznubae
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... Group A and azithromycin 500mg was given to Group B three days a week for 3 months according to severity of the disease. The severity of acne was done according to Global Acne Grading Score, GAGS. Results: Maximum number of patients were having moderate type of acne i.e., 20 (66.7%) in group A and 25 (83.3%) in group B. In group A, all cases responded and the clinical response was rated as excellent in 24 (80%), good in 5 (16.67%) and fair in 1 (3.33%) case. In group B, 24 (80%) cases responded and the response was categorized as excellent in 6 (20%), good in 9 (30%), fair in 3 (10%) and poor in 6 (20%) cases. There was no response in 6 (20%) cases. The response of isotretinoin in Group A is better than azithromycin in group B [p<0.01]. Conclusions: Isotretinoin appears to be the superior than to weekly pulse dose of azithromycin in moderate to severe case of acne.
Efficacy of Itraconazole Versus Terbinafine for the Treatment of Tineacruris
2013
Medical Journal of Shree Birendra Hospital
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Introducti on: Tenia Cruris is the commonest dermatophyte infecti on which is common in men and aggravated by warm humid conditi on Teniarubrum is the main species for the disease 1, 2 . Itraconazole and Terbinafi ne are the bett er newer drugs for the therapeuti c opti on due to their effi cacy, convenient and less side eff ect. Itraconazole is a wider spectrum Thiazole group of fungistati c drugs which inhibit sterol 14 α demethylase impairing biosynthesis of fungal ergosterol. Similarly
doi:10.3126/mjsbh.v11i1.7763
fatcat:qv6qzdp3ezegteln2wr5swzdhy
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... nafi ne is broad specturmallylamine group of fungicidal acti vity which inhibits squalene 2, 3 epoxidase enzyme thus inhibit fungal biosynsthesis of ergosterol 3-5 . These two drugs have been needed conventi onally as a pulse and conti nuous therapy. The main aim of this study is to compare the effi cacy of both drugs and to recommend the eff ecti ve treatment in case of Teniacruris. Methods: In this randomized comparati ve study, the effi cacy and safety of oral itraconazole (n=35) and terbinafi ne (n=35), each given for 2weeks, was compared in pati ents with ti neacruris within the period of 1 year study. Results: The fi nal evaluati on at week 4 showed a cure rate of 91.4% for itraconazole and 82.9% for terbinafi ne. No defi nite adverse eff ect was noted. Conclusions: Itraconazolehas high cure rate and less failure rate without side eff ects in comparision toTerbinafi ne.
Farm size effects in rice productivity at Pyuthan district of Nepal
2020
Journal of Agriculture and Natural Resources
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Jha Performed survey and contributed in manuscript preparation A. ...
doi:10.3126/janr.v3i1.27099
fatcat:xhgygfwwnjhitnjnfg4ipllddu
COVID-19 detection from chest X-Ray images using ensemble of CNN models
2020
2020 International Conference on Power, Instrumentation, Control and Computing (PICC)
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The year 2020 will certainly be remembered for the outbreak of COVID-19 pandemic. With the first case being reported in December 2019, the SARSCoV2 virus has proved to be one of the most deadly virus which has affected the human civilization. Relatively high contagious rate and asymptomatic patients also being carrier of the virus makes it more dangerous. The only way to get a control on the outbreak is rapid testing. With the present testing mechanisms being costly and time consuming the end
doi:10.1109/picc51425.2020.9362499
fatcat:yblqh7kjrjccbm6cj6z6dujj5i
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... this pandemic doesn't seems near. These challenges motivates us to come up with a system which can be effective in testing large population size and at the same time be less time consuming. We have proposed a Deep Convotuional Neural Network based ensemble architecture for extracting features from Chest X-Ray images and later classifying them into three categories namely-Community Acquired Pneumonia(CAP), Normal and COVID-19. We have shown that applying such technique can give better performance. Our ensemble network uses three pre-trained DCNN networks namely-NASNet, MobileNet and DenseNet. The low level features extracted from the three DCNN architectures are later concatenated and applied to a classifier for final classification. We have achieved an accuracy of 91.99% which is slightly better than the state of the art performances.
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