Structural and Functional Annotation of Hypothetical Protein of Fusobacterium nucleatum Strain MJR7757B: An in Silico Approach

Fusobacterium nucleatum is an anaerobic, commensal, gram-negative oral bacterium that is carcinogenic and causes a wide range of human diseases. The present study focused on the analysis of the hypothetical protein, HMPREF3221_01179, derived from F. nucleatum strain MJR7757B, employing various computational methods to anticipate both its structure and functional characteristics. NCBI conserved domain analysis, NCBI BLASTp and MEGA Phylogenetic tree study characterize the target protein as an outer membrane efflux protein (ToIC family) which facilitate the bacterial transmembrane transport. With a molecular weight of 52120.02 Da, an isoelectric point (pI) of 8.33, and an instability index of 29.47, the protein is anticipated to exhibit good solubility in the extracellular space and crucial stability for pharmaceutical applications. The protein’s structure meets quality standards during the construction and refinement of its 3D model. The efflux inhibitor Arginine beta-naphthylamide exhibits a significant binding affinity (-7.1 kcal/mol) to the binding site of the target protein. The in-silico analysis improves the understanding of the protein and facilitates future investigations into therapeutic medication.

Clinico-Epidemiological Profile and Diagnostic Procedures of Tuberculosis in Children: A Retrospective Study from OPD of Tertiary Care Center in Bangladesh

Background: Childhood Tuberculosis (TB) is an important cause of mortality and morbidity, which causes a significant TB burden in developing countries. Objectives: The aim of this study was to describe clinical profile and diagnostic procedures used in Outpatient Department (OPD) of a tertiary care hospital. Methods: It was a retrospective study conducted in OPD of Paediatrics Department, Bangabandhu Sheikh Mujib Medical University, Shahbag, Dhaka, Bangladesh. Age range of studied populations, 3 months to 18 years who presented with clinical features of TB and were later diagnosed with tuberculosis according to national guidelines for the management of tuberculosis in children, 2021 were enrolled in this study. A total of 108 diagnosed cases of Tuberculosis between August 2021 and July 2022 were enrolled in this study. Data were collected from OPD records and transferred into MS excel sheet for data processing & analysis. Results: Among 834 suspected patients, 108 patients aged 3 months to 18 years were diagnosed with tuberculosis. The highest number of cases 47 (43.51%) were found in 11 - 18 years age group. Gender distribution of the patient showed 58 (53.70%) were male and 50 (46.29%) were female. Among 108 TB cases, 44 (40.74%) were pulmonary TB and 64 (59.25%) were extrapulmonary TB. Among 64 extrapulmonary TB cases 38 (59.37%) cases were diagnosed as TB lymphadenitis. Fever 83 (76.85%), weight loss 62 (57.4%), cough 50 (46.29%), lump in neck and axilla 38 (35.18%) were found in most of the cases. A positive Mantoux test was found in 68 (62.96%) patients. Chest X-ray findings showed patchy opacity and consolidation in 46 (42.59%) cases. Suggestive FNAC from lymph node was observed among 35 (32.4%) cases. For bacteriological confirmation sputum gene Xpert and stool Xpert ultra were positive among 10 (9.25%) and 23 (21.29%) cases. Conclusion: In this study, Extrapulmonary TB (EPTB) cases were more than Pulmonary TB (PTB) in children. Diagnosis of tuberculosis was based on<span sty.

Evaluation of Genetic Divergence in Various Potato Genotypes Grown in Bangladesh through Different Traits Assessment

The goal of the study was to quantify the genetic diversity of different potato varieties. Five groups were named to classify the 25 genres of potatoes as: Cluster I (Lalpakri, Diamond), Cluster II (Hagrai, Green Mountain, G.M.O., Elvera), Cluster III (Atlantic, Shepody, Raja, Fundy, Multa, Granulla, Shibilati, Japanese Red), Cluster IV (Atlas, Brondy, Yucon Gold, Monona, Petrones, Cheroki), and Cluster V (Calwhite, Prelude, Allblue, Russet, Burbank, TPS-67). The highest and lowest genotypes are found in Clusters III and I, respectively. The two groups’ maximum inter-cluster distance (the cluster’s distance between them) demonstrates the enormous diversity between Clusters II & III. Cluster III had the greatest intra-cluster distance (distance within a set), whereas Cluster V had the smallest. In most cases, the distance between gaps was more significant than the distance within the holes, showing greater genetic diversity between different groups’ genotypes. The highest, second highest, and third highest eigenvalues, accompanying the positive canonical values for Vectors I and II of three characteristics: average tuber weight in each plant, the tubers number in each plant, and the eyes number in each tuber, showed the most outstanding contribution to the complete difference between genotypes. Of the nine features, the smaller leaves number in each plant, the shorter plant height, the more minor genotypes, the fewer eyes per tube generated from Cluster I, the maximum height of the plants, the high-quality tubers in each plant, the tubers number in each plant, the fresh weight in each plant, and the leaf number in each plant from Cluster II could be chosen in the role of parents in this program for hybridization. Given the size of the genetic distance, the various characteristics that contribute to the overall difference, and the average population size, Hagrai, Green Mountain, O.M.G., Elvera Cluster II and Cluster I, Lalpakri, and Diamond genotypes can be regarded as parents of hybridization programs in the future. Thus, producers can get guidance to enhance genetic diversity by selecting materials from different relatives and reducing their vulnerability to diseases and climate change.

Impact of Numerous Beds Operating Conditions for Enhancing the Performance of a Solar Heat-Supported Adsorption Chiller

Thermal adsorption cooling systems have gained significant attention due to their potential for energy savings and eco-environmental impact. An analytic investigation of the heat transfer inside an adsorption chiller with various bed silica gel-water pairs is presented. A comprehensive model has been designed to accurately predict the correlation between the overall performance of the proposed chiller system and the functional and structural condition of the building. This model takes into account various factors such as temperature, humidity, and air quality to provide a detailed analysis of the system’s efficiency. At least 20 collectors consisting of a 34.4 m area (each) with a full-cycle time of 480 seconds are essential to improper run conditions. It is necessary to adjust the optimum cycle time for optimal performance. During the investigation, the base condition shows that the cooling capacity is 14 kw, 0.6 COPcycle, and 0.35 COPsolar at noon. Also, conduct a thorough investigation into the chiller’s performance under varying cooling water supply temperatures and various chilled water flow rates.

利用图像和机器学习检测大豆作物幼苗期玉米杂苗

在大豆-玉米轮作生产过程中,玉米杂苗会与大豆苗竞争水和肥料,而且很容易遮住大豆苗,影响害虫(如玉米根虫)的防控,降低大豆品质。因此,在大豆幼苗期及时检测出玉米杂苗并对其进行处理非常重要。传统的人工检测方法主观性强、效率低,传感器和算法的发展为自动检测玉米杂苗提供了更好的解决方案。本研究在温室环境下模仿田间条件,待玉米和大豆发芽后,连续5天用因特尔RealSense D435相机采集彩色图像,并人工裁剪幼苗图像区域,在此基础上对图像进行分割和去噪。在采集图像形状、色彩和纹理特征值后,对所采集的特征值进行权重分析,保留前10种重要的特征值导入基于特征的机器学习算法中进行模型训练和预测。预测结果表明,支持向量机模型(SVM)、神经网络(NN)和随机森林(RF)的预测精度分别为85.3%,81.5%和82.6%。将数据集导入GoogLeNet和VGG-16两种深度学习模型进行训练,预测精度分别为96.0%和96.2%。VGG-16模型在区分大豆幼苗和玉米杂苗中有较好的表现,彩色图像和VGG-16模型组成的系统可以自动检测大豆生长过程中玉米杂苗的情况,为农民提供准确的信息,帮助其进行生产决策和田间管理。

Development and Analysis of a Machine Learning Based Software for Assisting Online Classes during COVID-19

Amid the Covid-19 widespread, it has been challenging for educational institutions to conduct online classes, facing multiples challenges. This paper provides an insight into different approaches in facing those challenges which includes conducting a fair online class for students. It is tough for an instructor to keep track of their students at the same time because it is difficult to screen if any of the understudies within the class are not present, mindful, or drowsing. This paper discusses a possible solution, something new that can offer support to instructors seeing things from a more significant point of view. The solution is a facial analysis computer program that can let instructors know which students are attentive and who is not. There’s a green and red square box for face detection, for which Instructors can watch by seeing a green box on those mindful students conjointly, a red box on those who are not mindful at all. This paper finds that the program can automatically give attendance by analyzing data from face detection. It has other features for which the teacher can also know if any student leaves the class early. In this paper, model design, performance analysis, and online class assistant aspects of the program have been discussed.

Impact of the Presence of the Loop at Different Location on Fabric Width and Areal Density of a Weft Knitted Structure

Knitted structures are progressively built up from row after row of knitted intermeshed loops known as knitted loops. Apart from this knitted loops, tuck or miss loops may be produced by varying the timing of the intermeshing sequence of the old loop and new loops. These loops are main and prominent part of the design of the weft knitted structures. Structures having float or miss loop exhibits many noticeable characteristics. The fabrics renders better surface appearance or color pattern. Dimensional stability is significantly improved. Fabric width is reduced and areal density is also increased considerably due to the presence of float loops in the structure. Therefore, the dimensional and physical features of different knitted structures having knit-miss loops may be studied carefully to find the influence of float stitch or loop on fabric width and areal density. In this project work, such an attempt has been made to specify some specific single jersey structures, which will be ensured as an effective tool for product research and development as well as for meeting up customer’s quality requirements of high class products.

Effect of Carboxyl Functionalized MWCNTs on the Cure Behavior of Epoxy Resin

Effects of carboxyl functionalized MWCNTs on the cure behavior of epoxy resin (EPIKOTETM resin 862 and EPICURETM curing agent W) were investigated by using differential scanning calorimeter in dynamic scan mode. Results indicated that nanotubes could initiate cure reaction at lower temperature while only 0.1 wt% samples were able to suppress the peak temperature (Tp) consistently regardless of different heating rate due to their higher reaction rate, other two batches (0.2 wt% and 0.3 wt% CNT) showed hardly any change in Tp compared to neat samples. Furthermore, addition of small amount (0.1 wt%) of CNTs significantly reduced the activation energy of the system but further addition elevated that due to their retarding effect. Also, a correlation was established between the dispersion state of CNTs in epoxy and total heat of reaction (ΔH) where lower ΔH was considered as an indication of better interfacial interaction of CNTs with matrix and hence, better dispersion. The difference in curing behavior of three different CNT percentages was discussed in terms of their steric hindrance and state of dispersion in the matrix.

Analyzing and Projection of Future Bangladesh Population Using Logistic Growth Model

Bangladesh is a densely populated country than many other countries of the world. The population growth is termed as alarming, however, knowledge of growth in the years to come would be useful in planning for the development of the country. This article is based on the projection of future population growth of the country. The available actual population census data during 1991-2011 of Bangladesh was applied to the application of a non-linear, non-autonomous ordinary differential equation familiar as Verhulst logistic population model with the maximum environmental capability of Bangladesh. Bangladesh will reach its carrying capacity of 245.09 million population in the next 56 years i.e. the year 2067 and then it decreases as S-shaped curve. The article has provided a focus on the changing trends of the growth of the population of Bangladesh.

On Line Measurement of Reactivity Worth of TRIGA Mark-II Research Reactor Control Rods

The reactivity worth measurement system for control rods of the TRIGA MARK-II research reactor of Bangladesh has been design and developed. The theory of the kinetic technique of measuring reactivity has been used by this measurement system. The system comprises of indigenous hardware and software for online acquisition of neutron flux signals from reactor console and then computes the reactivity worth accordingly. Here for the TRIGA MARK-II research reactor, the reactivity measurement system was implemented with a dedicated circuit assembly and a conventional personal computer. A high-level Visual Basic real-time programming has been developed for data acquisition, reactivity calculation, online display (numerically as well as graphically), saving data, etc. To measure reactivity worth of TRIGA reactor control rods the rod drop experimental technique has been adopted. The results of tests experiments, carried out with the rod drop method for measuring various reactivity worth of control rods have been presented in the paper. A comparison between this results with the results using period method and that of computation method, demonstrated that the response of this reactivity measurement system is fast enough to monitor and measure the safety-related reactivity and power excursions in the reactor.