2,202 research outputs found

    In vitro response from cotyledon and hypocotyls explants in tomato by inducing 6-benzylaminopurine

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    Differential response of tomato was evaluated by hypocotyls and cotyledon explants on 6- benzylaminopurine (BAP) containing MS media. Among the four levels (0, 1, 2 and 4 mg/l) of BAP employed in Murashige and Skoog (MS) media, 2.0 mg/l BAP was found superior in growth traits (number of shoots/explants and shoot length) and cultivars. No significant difference was noticed between cotyledon and hypocotyls explants on media having 2.0 mg/l BAP. In the same treatment, shoot length was significantly different between cotyledon and hypocotyls derived explants. No adventitious shoots was noted in the control and higher concentration of BAP containing media but theexplants turned into callus on media having 4.0 mg/l BAP

    Strategi Pengembangan Usaha Distributor Ikan Beku UD. Assa Group Di Kota Padang Sidempuan

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    This research was conducted in August-September 2020 in the city of Padang Sidempuan to be precise at the UD company. Assa Group. This study aimed to identify internal and external factors in the frozen fish business at UD. Padang Sidimpuan City Assa Group and analyzed the strategy of developing frozen fish business at UD. Assa Group Padang Sidimpuan City. The method used in this research a case study and analyzed using a SWOT analysis. The results showed that the internal factors of UD. The most influential Assa Group Padang sidempuan is the products are still fresh and of high quality, the availability of quite a lot of raw materials, the maximum workforce performance. While the weaknesses in the management of packaging design are still not attractive, access to product promotion is still difficult, marketing locations are still on a regional scale, the production process does not have neatly arranged management. For external factors from UD. Assa Group Padang sidempuan is a Market Share opportunity that is relatively easy to reach, economic conditions are relatively stable, public trust in the company is quite good, high demand from local people inside and outside the city for frozen fish. While the threat, the emergence of competitors who use resources more efficiently, fluctuations in market prices and depending on climatic conditions, limited suppliers for materials and product processing tools

    A Deep Reinforcement Learning-Based Resource Scheduler for Massive MIMO Networks

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    The large number of antennas in massive MIMO systems allows the base station to communicate with multiple users at the same time and frequency resource with multi-user beamforming. However, highly correlated user channels could drastically impede the spectral efficiency that multi-user beamforming can achieve. As such, it is critical for the base station to schedule a suitable group of users in each time and frequency resource block to achieve maximum spectral efficiency while adhering to fairness constraints among the users. In this paper, we consider the resource scheduling problem for massive MIMO systems with its optimal solution known to be NP-hard. Inspired by recent achievements in deep reinforcement learning (DRL) to solve problems with large action sets, we propose \name{}, a dynamic scheduler for massive MIMO based on the state-of-the-art Soft Actor-Critic (SAC) DRL model and the K-Nearest Neighbors (KNN) algorithm. Through comprehensive simulations using realistic massive MIMO channel models as well as real-world datasets from channel measurement experiments, we demonstrate the effectiveness of our proposed model in various channel conditions. Our results show that our proposed model performs very close to the optimal proportionally fair (Opt-PF) scheduler in terms of spectral efficiency and fairness with more than one order of magnitude lower computational complexity in medium network sizes where Opt-PF is computationally feasible. Our results also show the feasibility and high performance of our proposed scheduler in networks with a large number of users and resource blocks.Comment: IEEE Transactions on Machine Learning in Communications and Networking (TMLCN) 202

    Role of Immunological Method of Fecal Occult Blood Test for Screening Colorectal Diseases

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    Background: Colorectal diseases specially colorectal carcinoma is one of the major health problems throughout the world. Therefore, early diagnosis of these diseases is mandatory. There are various screening methods are used for early diagnosis of colorectal diseases. Among them fecal occult blood test is the most widely used screening test. Objectives: The objectives of the present study were to find out the role of immunological method of fecal occult blood test for screening colorectal diseases. Methods: This was a prospective study consisted of 110 patients suspected to have colorectal diseases of both sexes attending in Gastroenterology and Clinical Pathology department of Bangabandhu Sheikh Mujib Medical University. Stool samples of all the patients were examined by immunological method of fecal occult blood test and then advised for colonoscopy and histopathology for confirmatory diagnosis. The results of immunological method of fecal occult blood test and the colonoscopic findings were compared. Results. Of 110 patients, 87 (79%) cases were positive and 23 (20.9%)cases were negative by immunological method of fecal occult blood test. According to colonoscopy and histopathology, 65(32.5%) cases were found to have colorectal diseases and 45(22.5%) cases had no pathology. Diseases detected by colonoscopy in occult blood test positive patients, 18(16.4%) colorectal polyp, 24(21.8%) colonic ulcer, 8(7.3%) colorectal cancer, 5(3.5%) inflammatory bowel disease, 7(6.4%) haemorrhoids and fissure, 2(1.8%) colonic diverticulum and 1(0.9%) proctitis. Among the 65(32.5%) lesions detected by colonoscopy,62(95.3%) cases were positive by immunological method of fecal occult blood test where as only three(3) lesions were found in occult blood test negative cases. The sensitivity, specificity, PPV and NPV of immunological method of fecal occult blood test (IFOBT) for detection of occult bleeding were 95.4%, 44.4%, 71.3% and 87.0% respectively. Conclusion: It can apparently be concluded from this study that the role of immunological method of fecal occult blood test for colorectal diseases is promising in Bangladesh. Key words: Colorectal diseases; Fecal occult blood test; Immunological method DOI: http://dx.doi.org/10.3329/bsmmuj.v4i2.8634 BSMMU J 2011; 4(2):76-8

    Role of Immunological Method of Fecal Occult Blood Test for Screening Colorectal Diseases

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    Background: Colorectal diseases specially colorectal carcinoma is one of the major health problems throughout the world. Therefore, early diagnosis of these diseases is mandatory. There are various screening methods are used for early diagnosis of colorectal diseases. Among them fecal occult blood test is the most widely used screening test. Objectives: The objectives of the present study were to find out the role of immunological method of fecal occult blood test for screening colorectal diseases. Methods: This was a prospective study consisted of 110 patients suspected to have colorectal diseases of both sexes attending in Gastroenterology and Clinical Pathology department of Bangabandhu Sheikh Mujib Medical University. Stool samples of all the patients were examined by immunological method of fecal occult blood test and then advised for colonoscopy and histopathology for confirmatory diagnosis. The results of immunological method of fecal occult blood test and the colonoscopic findings were compared. Results. Of 110 patients, 87 (79%) cases were positive and 23 (20.9%)cases were negative by immunological method of fecal occult blood test. According to colonoscopy and histopathology, 65(32.5%) cases were found to have colorectal diseases and 45(22.5%) cases had no pathology. Diseases detected by colonoscopy in occult blood test positive patients, 18(16.4%) colorectal polyp, 24(21.8%) colonic ulcer, 8(7.3%) colorectal cancer, 5(3.5%) inflammatory bowel disease, 7(6.4%) haemorrhoids and fissure, 2(1.8%) colonic diverticulum and 1(0.9%) proctitis. Among the 65(32.5%) lesions detected by colonoscopy,62(95.3%) cases were positive by immunological method of fecal occult blood test where as only three(3) lesions were found in occult blood test negative cases. The sensitivity, specificity, PPV and NPV of immunological method of fecal occult blood test (IFOBT) for detection of occult bleeding were 95.4%, 44.4%, 71.3% and 87.0% respectively. Conclusion: It can apparently be concluded from this study that the role of immunological method of fecal occult blood test for colorectal diseases is promising in Bangladesh. Key words: Colorectal diseases; Fecal occult blood test; Immunological method DOI: http://dx.doi.org/10.3329/bsmmuj.v4i2.8634 BSMMU J 2011; 4(2):76-8

    Role of Hematologic Scoring System in Early Diagnosis of Neonatal Septicemia

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    Background: Neonatal septicemia is one of the major health problems throughout the world. Infections are a frequent and important cause of morbidity and mortality in neonatal period. Objective: The objective of this study was the role of hematologic scoring system (HSS) in the early diagnosis of neonatal septicemia. Methods: This is a prospective study consisted of 100 neonates admitted at neonatal ICU, BSMMU, who were clinically suspected cases of septicemia. The neonatal hematological parameter was measured in all cases. Blood culture was done for the gold standard of proven sepsis. There were 12 out of 100 neonates (12%) who had culture proven sepsis. They were predominantly preterm and of very low birth weight. Results: On evaluation of various hematological parameters total leucocytes count, total neutrophil count, IT ratio (>0.2), IM ratio (> 0.3), total immature PMNs count, platelet count were found to have optimal sensitivities and negative predictive values. Using these values hematologic scoring system was formulated according to Rodwell et al. Score > 4 has a sensitivity of 100%, specificity of 60%, with PPV 26% and NPV 100 %. Considering the high sensitivity, negative predictive value, this study implies that score > 4 were more reliable as a screening tool for sepsis than any of the individual hematological parameter. Conclusion: HSS are useful test to distinguish the infected from non infected infants. They also provide a effective guideline to make decisions regarding judicious use of antibiotic therapy.Keywords: Hematologic scoring system (HSS); Blood culture; Neonatal septicemia DOI: 10.3329/bsmmuj.v3i2.7053BSMMU J 2010; 3(2): 62-6

    Role of Hematologic Scoring System in Early Diagnosis of Neonatal Septicemia

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    Background: Neonatal septicemia is one of the major health problems throughout the world. Infections are a frequent and important cause of morbidity and mortality in neonatal period. Objective: The objective of this study was the role of hematologic scoring system (HSS) in the early diagnosis of neonatal septicemia. Methods: This is a prospective study consisted of 100 neonates admitted at neonatal ICU, BSMMU, who were clinically suspected cases of septicemia. The neonatal hematological parameter was measured in all cases. Blood culture was done for the gold standard of proven sepsis. There were 12 out of 100 neonates (12%) who had culture proven sepsis. They were predominantly preterm and of very low birth weight. Results: On evaluation of various hematological parameters total leucocytes count, total neutrophil count, IT ratio (>0.2), IM ratio (> 0.3), total immature PMNs count, platelet count were found to have optimal sensitivities and negative predictive values. Using these values hematologic scoring system was formulated according to Rodwell et al. Score > 4 has a sensitivity of 100%, specificity of 60%, with PPV 26% and NPV 100 %. Considering the high sensitivity, negative predictive value, this study implies that score > 4 were more reliable as a screening tool for sepsis than any of the individual hematological parameter. Conclusion: HSS are useful test to distinguish the infected from non infected infants. They also provide a effective guideline to make decisions regarding judicious use of antibiotic therapy.Keywords: Hematologic scoring system (HSS); Blood culture; Neonatal septicemia DOI: 10.3329/bsmmuj.v3i2.7053BSMMU J 2010; 3(2): 62-6

    E. coli in tropical urban rivers : a case study of the Sungai Gombak basin

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    The primary study area is Sg. Gombak, a river that flows through the mostly urbanized state of Selangor and transcends the capital of Malaysia, Kuala Lumpur. The study aims to characterize E. coli, organics and nutrients on the main stem of the river and its tributaries of Sg. Batu and Sg. Kerayong. There were 28 identified spatial sampling stations throughout the basin. The results on the upper reaches of Sg. Gombak showed E. coli levels ranged between 100 – 400 cfu/100mL. The levels increased and remained between 11,000 cfu/100mL to 18,000 cfu/100 mL downstream upon receiving sewage effluent and other pollution sources. This was comparable to Sg. Batu. Conditions were even worse in Sg. Kerayong as E. coli levels were in excess of 140,000 cfu/100 mL. Ambient temperature increase in excess of 30°C with a ∆T rise of 3 to 4°C appeared to result in some decrement of E. coli; at 0.08/°C for Sg. Gombak and 0.20/°C for Sg. Batu, albeit this only occurred at single spatial points in both rivers. Variation in BOD5, NH3-N and NO3-N did not appear to significantly influence bacterial count in the basin. The study results also showed for the water to be deemed suitable for skin contact, a removal efficiency of at least 92% has to be achieved, which in turn, translated to a die-off period of at least two hours

    ML-Based Feedback-Free Adaptive MCS Selection for Massive Multi-User MIMO

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    As wireless communication systems strive to improve spectral efficiency, there has been a growing interest in employing machine learning (ML)-based approaches for adaptive modulation and coding scheme (MCS) selection. In this paper, we introduce a new adaptive MCS selection framework for massive MIMO systems that operates without any feedback from users by solely relying on instantaneous uplink channel estimates. Our proposed method can effectively operate in multi-user scenarios where user feedback imposes excessive delay and bandwidth overhead. To learn the mapping between the user channel matrices and the optimal MCS level of each user, we develop a Convolutional Neural Network (CNN)-Long Short-Term Memory Network (LSTM)-based model and compare the performance with the state-of-the-art methods. Finally, we validate the effectiveness of our algorithm by evaluating it experimentally using real-world datasets collected from the RENEW massive MIMO platform
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