embolization vs conventional surgical evacuation that use standardized research methodologies. A team of expert neurosurgeons and neuroradiologists in the field of middle meningeal artery embolization should make consensus recommendations for a standardized study methodology that includes clearly defined inclusion criteria, detailed patients' angiographic baseline anatomy with special focus on angiographic anatomic variants, standardized neurointerventional techniques, standardized embolization material, standardized imaging modalities at baseline and follow-up, and standardized reliable patientcentered tools for clinical evaluation of their neurological deficits such as MMSE.

Appropriate planting time of mustard (Brassica sp.) during winter determines the growth yield and quality of a particular cultivar. Since the shift of winter period over the last few years driven by climate change, a transformation in mustard cultivation is also observed. Thus, to study the extent of these variations we studied 6 mustard varieties (V1- Binasarisha-4, V2- Binasarisha-9, V3- Binasarisha-10, V4- BARI Sarisha-14, V5- BARI Sarisha-16 and V6- BARI Sarisha-17) under 3 different planting dates (D1-31st October, D2-10th November and D3-20th November) in the Magura district of Bangladesh to evaluate yield differences over sowing times. Field experimentation was set followed RCB (Randomized complete block) design. Data on growth and yield parameters were collected at various days after sowing. Outcomes noted that, most number of siliqua/plant was obtained with treatment combination D3 × V5 (190.33), siliqua length with D3 × V2 (7.95 cm), number of seeds per siliqua by D3 × V6 (36.30), thousand grain weight by D1 × V1 (3.90 g). Hence, correlation study suggested that, seed yield was positively related to number of siliqua/plant, siliqua length and number of seeds/siliqua. Though, BARI Sarisha-16 (V5) delivered top seed and stover yield in all sowing dates. But interaction effects depicted that planting on 10th (2.00 t/ha) and 20th November (1.99, 1.94 t/ha) gave similar seed yield like 31st October planting (2.31 t/ha); in addition, stover yield (6.70, 6.83 t/ha) also remained at peak with the later plantings (D2, D3). An increase in the tendency of life duration was noticed when sown on 20th November for most treatment combination. Overall, delayed sowing of mustard didn’t affect the yield and related attributes rather it accelerated to some attributes. Hence, rescheduling of optimum sowing time for mustard is now a time demanding concern with regard to weather change.

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The world has come to a standstill due to the coronavirus. The number of confrmed cases and the number of deaths are increasing day by day. Now accurate and real-time predictions are very important. Currently, a lot of work is being done on the spread prediction of coronavirus. If we can predict the number of corona patients in a country in advance, then it will be benefcial for the government of that country to take action in advance. In this paper, we experiment with Bangladesh and India data using the deep learning method. We have used LSTM (LONG SHORT-TERM MEMORY) neural network which is a type of recurrent neural network. The LSTM method can work very well even with very little data. Since we do not currently have much data on covid19, LSTM neural networks may be a suitable model. We have got very good prediction results using this method even with very little data. The prediction of various parameters (number of confrmed cases per day, number of deaths per day, number of total confrmed cases, and number of total deaths). We also calculate MAPE, MAE, and RMSE values and compare them among different models. Our modeloutperforms others’ models. We think this research will be a benefcial tool for administrators and health offcials. GUB JOURNAL OF SCIENCE AND ENGINEERING, Vol 8, Dec 2021 P 1-6

Background: Although blood transfusions can be lifesaving but it is not without risk. It is a necessity to have knowledge about the red cell antigen phenotype frequencies in a population to provide antigen-negative compatible blood to patients with multiple alloantibodies. This is the first study on extended phenotype of blood group systems in blood donors at AFIP, Dhaka. Aim: Present study is aimed to determine the antigen frequencies of “O” blood group phenotype among donors at AFIP, Dhaka. Methods: An observational study was carried out at AFIP, Dhaka from July 2019 to December 2019. A total of 40 “O” blood group donors from blood bank of AFIP were typed for D, C, c, E, e, K, k, M, N and S antigens either by adding antisera to 3-5% of donor RBCs suspension or by using Indirect Antiglobulin Test (IAT) according to manufacturer’s instruction. Coomb’s control cells, positive and negative control cells were used as quality control. Antigens and phenotype frequencies were expressed as percentages. Results: Forty (40) blood donors belonging to “O” blood group were included for extended phenotyping. D antigen was found in 100% donors, followed by e [42.5%], C [38.13%], c [11.88%], and E [7.5%] with DCe/DCe (R1R1, 55%) as the most common phenotype. k was found to be positive in 72% of donors. In the MNS system, 57.5% donors were typed as M+N+, 32.5% as M+N-, and 10% as M-N+. S-s+ was found amongst donors with 52.5% as the commonest phenotype. Conclusion: This study was conducted to provide information about the antigen frequency of a common blood group “O” in local donors to provide antigen negative compatible blood units to multi transfused alloimmunized patients. D antigen was found in 100% donors with DCe/DCe (R1R1, 55%) as the most common phenotype. J Bangladesh Coll Phys Surg 2022; 40: 171-174