المؤلفون: Hossain, Mohammad Jakir, Ghosh, Rupak Kumar, Das, Atanu Kumar, Nath, Shambhu Chandra, Islam, Md. Rakibul, Akhter, Shaheen, Rahmana, Md. Saidur

المصدر: Wood Material Science and Engineering. 18(2):650-655

مصطلحات موضوعية: Wood, chemical characterization, potential application

الوصف: Determination of the chemical composition of biomaterial is important for their valued utilization in biorefinery. In this study, the chemical composition of seven wood species, i.e. lambu (Khaya anthotheca), raj-koroi (Albizia richardiana), jhau (Casuarina equisetifolia), sil-koroi (Albizia procera), katbadam (Terminalia catappa), jolpai (Elaeocarpus robustus), and arjun (Terminalia arjuna) were examined. The chemical characterization of these wood species can expedite a further study on the extraction of cellulose, lignin, and extractive. alpha-cellulose content was in the range of 37.0% to 42.1% and lignin content was 20.4% to 34.1%. The solubility in 1% caustic soda was 16.1% to 24.3%. The a-cellulose and lignin content were similar to other wood species. Therefore, these species can be a potential source of raw material for biorefinery.

وصف الملف: print

الوصول الحر: https://urn.kb.se/resolve?urn=urn:nbn:se:ri:diva-74545Test
https://doi.org/10.1080/17480272.2022.2058413Test

المؤلفون: Mahbub, Nosin Ibna, Islam, Md Rakibul, Amin, Md Al, Islam, Md Khairul, Singh, Bikash Chandra, Showrov, Md Imran Hossain, Sarkar, Anirudda

المصدر: 2021 5th International Conference on Electrical Information and Communication Technology (EICT)

مصطلحات موضوعية: Computer Science - Social and Information Networks, Computer Science - Machine Learning, 68Uxx, I.7

الوصف: Sentiment analysis can largely influence the people to get the update of the current situation. Coronavirus (COVID-19) is a contagious illness caused by the coronavirus 2 that causes severe respiratory symptoms. The lives of millions have continued to be affected by this pandemic, several countries have resorted to a full lockdown. During this lockdown, people have taken social networks to express their emotions to find a way to calm themselves down. People are spreading their sentiments through microblogging websites as one of the most preventive steps of this disease is the socialization to gain people's awareness to stay home and keep their distance when they are outside home. Twitter is a popular online social media platform for exchanging ideas. People can post their different sentiments, which can be used to aware people. But, some people want to spread fake news to frighten the people. So, it is necessary to identify the positive, negative, and neutral thoughts so that the positive opinions can be delivered to the mass people for spreading awareness to the people. Moreover, a huge volume of data is floating on Twitter. So, it is also important to identify the context of the dataset. In this paper, we have analyzed the Twitter dataset for evaluating the sentiment using several machine learning algorithms. Later, we have found out the context learning of the dataset based on the sentiments.
Comment: 7 pages, 5 figures, 5th IEEE International Conference on Electrical Information and Communication Technology (EICT)

الوصول الحر: http://arxiv.org/abs/2111.09275Test

المؤلفون: Khushe, Khursheda Jahan, Wazed, Md. Abdul, Islam, Md. Rakibul, Awal, Md. Shihabul, Mozumder, N. H. M. Rubel

المساهمون: Langyan, Sapna

المصدر: Journal of Food Quality ; volume 2024, issue 1 ; ISSN 0146-9428 1745-4557

الوصف: The purpose of this research was to assess the mineral content, bioactive compounds, α ‐glucosidase inhibitory activity, and antioxidant of two‐maturity stages of corn silks, i.e., immature and mature with standard methods. Corn silks have been dried with sun and oven‐drying methods and extracted through methanol and water, two individual solvents. The results revealed that both corn silks were good sources of mineral content. The higher calcium (13.37 ± 0.06) and magnesium (890.00 ± 0.00) were found in the sun‐dried immature corn silk. The sun‐dried mature corn silk also exhibited a higher content of iron, zinc, and manganese. The results also revealed that all the extraction systems yielded significant amounts of TPC, TFC, β ‐carotene, and anthocyanin content; ABTS and DPPH radical scavenging activity; and α ‐glucosidase inhibitory activity. Moreover, sun‐dried methanolic extracts exhibited the highest levels of TFC (127.58 ± 7.95 mg QE/100 g DM), β ‐carotene (0.28 ± 0.00 mg/100 mL), TAC (42.53 ± 1.02 mg C3GE/kg DM), DPPH (75.65 ± 2.38%), and ABTS (94.22 ± 0.00%), showcasing their superior antioxidant potential. Conversely, oven‐dried methanolic extracts demonstrated a higher TPC of 20.82 ± 0.62 mg GAE/g DM, while water extracts showed maximum α ‐glucosidase inhibitory activity of 76.19 ± 0.00%. Therefore, the obtained results demonstrated that sun‐dried methanolic extracts from corn silks might be a good source of therapeutic agents and natural ingredients for manufacturing food, feed, and pharmaceutical products. It could also encourage researchers to carry out more studies to commercialize corn silk.

الإتاحة: https://doi.org/10.1155/2024/9552151Test

المؤلفون: Islam, Md Tohidul, Islam, Md Rakibul, Jhilik, Rokshana Akter, Islam, Md Asraful, Raihan, Prodhan Md Safiq, Faruque, Md Sabbir, Shahjahan, Anik Md

المصدر: European Journal of Theoretical and Applied Sciences; Vol. 2 No. 3 (2024): European Journal of Theoretical and Applied Sciences; 900-912 ; European Journal of Theoretical and Applied Sciences; Том 2 № 3 (2024): European Journal of Theoretical and Applied Sciences; 900-912 ; 2786-7447 ; 10.59324/ejtas.2024.2(3)

مصطلحات موضوعية: Programming Language, Computer Science (CS), Non-Computer Science (Non-CS), Python, JavaScript, C Programming, C#, Java, Dart, R Language, Ruby, Swift, Go, Kotlin, Front-end, Back-end, Data Science

الوصف: In the face of the growing importance of programming skills across various fields, understanding student preferences for programming languages becomes crucial. This study delves into this very topic, examining which languages resonate most with computer science majors and students from non-computer science backgrounds. We don’t just identify the popular choices; we also explore the underlying reasons behind these preferences through surveys. The analysis reveals a fascinating interplay between factors like a student’s learning experience, their career aspirations, and even their interests, all of which influence their preference for specific programming languages. This newfound knowledge empowers us to refine programming education for a diverse student body, ensuring they’re well-equipped for the demands of the digital world. Our findings hold value for curriculum designers, educators, and industry professionals alike. By understanding the evolving demands and preferences of students, these stakeholders can craft more relevant and engaging programming education experiences. Ultimately, this fosters interdisciplinary collaboration in the digital age, a key element for success in today’s interconnected world. This research not only contributes to the growing body of knowledge on programming language preferences but also offers practical insights for the betterment of programming instruction and the promotion of collaboration across disciplines within the digital landscape.

وصف الملف: application/pdf

العلاقة: https://ejtas.com/index.php/journal/article/view/969/693Test; https://ejtas.com/index.php/journal/article/view/969Test

الإتاحة: https://doi.org/10.59324/ejtas.2024.2Test(3).7010.59324/ejtas.2024.2(3
https://ejtas.com/index.php/journal/article/view/969Test

المؤلفون: Nima, Akhery, Talukdar, Anik, Islam, Md. Rakibul, Begum, Nasima, Siddiky, M.N.S Mamun, Bhadra, Anuradha, Mahmud, Yahia

المصدر: Archives of Agriculture and Environmental Science; Vol. 9 No. 1 (2024): March 2024 Issue; 1-7 ; 2456-6632

مصطلحات موضوعية: Brood stock, Hatchery, Indian major carps, Management

الوصف: Sustainable aquaculture production depends on the proper management of brood stock. In this regard, multiple survey studies were reviewed to assess the present status of management of carp brood stock at Jashore region in Bangladesh from March 2023 to August 2023. A total of 38 hatcheries were selected in Jashore. The areas of ponds were ranged from 33.33 to 400 decimal and shape with maximum rectangular. The green color water of pond was 79% and 75% practice pond drying. Most of the farmers applied liming doses were ranged from 500- 1200 gm dec-1. Most of the farmers used rotenone (39%) to control predators in the brood stock pond. Different sorts of fertilizers both organic and inorganic were applied. Most of the brood stocks (39%) were collected from the hatcheries and the rest of them were collected from other pond, World fish, BFRI and the natural sources (Halda and Padma River). Moreover, 4 carp species (rui, catla, mrigala and kalbashu) among 13 endemic and 4 exotic carp species (silver carp, grass carp, bighead and common carp) out of 6 exotic carp’s species were used for seed production. Negative selection of brood stock was performed in few hatcheries in order to reduce the cost for collecting or purchasing good quality broods. The formulated feed which contained 20-30% protein for carp brood stock were prepared using the indigenous ingredients including mainly rice bran, mustard oil cake, vitamin and mineral premix, wheat flour, fish meal and soya bean flour and maize flour. The main problem of hatchling production is Argulosis (fish lice) diseases which causes 95% of hatchlings mortality. Finally, these survey findings indicate that proper brood stock management could be a good approach to attain the main purpose of aquaculture.

وصف الملف: application/pdf

العلاقة: https://journals.aesacademy.org/index.php/aaes/article/view/09-01-01/pdfTest; https://journals.aesacademy.org/index.php/aaes/article/view/09-01-01Test

الإتاحة: https://doi.org/10.26832/24566632.2024.090101Test
https://journals.aesacademy.org/index.php/aaes/article/view/09-01-01Test

المؤلفون: Hasan, Md. Mehedi, Islam, Md. Rakibul, Haque, Ahmed Redwan, Kabir, Md. Raihan, Khushe, Khursheda Jahan, Hasan, S. M. Kamrul

المصدر: Bioresources and Bioprocessing ; volume 11, issue 1 ; ISSN 2197-4365

مصطلحات موضوعية: Renewable Energy, Sustainability and the Environment, Biomedical Engineering, Food Science, Biotechnology

الوصف: A significant portion of the human diet is comprised of fruits, which are consumed globally either raw or after being processed. A huge amount of waste and by-products such as skins, seeds, cores, rags, rinds, pomace, etc. are being generated in our homes and agro-processing industries every day. According to previous statistics, nearly half of the fruits are lost or discarded during the entire processing chain. The concern arises when those wastes and by-products damage the environment and simultaneously cause economic losses. There is a lot of potential in these by-products for reuse in a variety of applications, including the isolation of valuable bioactive ingredients and their application in developing healthy and functional foods. The development of novel techniques for the transformation of these materials into marketable commodities may offer a workable solution to this waste issue while also promoting sustainable economic growth from the bio-economic viewpoint. This approach can manage waste as well as add value to enterprises. The goal of this study is twofold based on this scenario. The first is to present a brief overview of the most significant bioactive substances found in those by-products. The second is to review the current status of their valorization including the trends and techniques, safety assessments, sensory attributes, and challenges. Moreover, specific attention is drawn to the future perspective, and some solutions are discussed in this report.

الإتاحة: https://doi.org/10.1186/s40643-023-00722-8Test

المؤلفون: Rahman, Md. Mashiar, Islam, Md. Rakibul, Talukder, Md. Enamul Kabir, Atif, Md. Farhan, Alam, Rahat, Uddin, A. F. M. Shahab, Anis-Ul-Haque, K. M., Islam, Md. Saidul, Uddn, Mohammad Jashim, Akhter, Shahina

المساهمون: Jashore University of Science and Technology

المصدر: RSC Advances ; volume 14, issue 9, page 6096-6111 ; ISSN 2046-2069

الوصف: Christella dentata (Forssk.) Brownsey & Jermy has been commonly used in traditional medicinal practices but its effects on multi-drug-resistant (MDR) bacteria have remained unexplored.

الإتاحة: https://doi.org/10.1039/d3ra08367eTest
http://pubs.rsc.org/en/content/articlepdf/2024/RA/D3RA08367ETest

المؤلفون: Kabir, Md Raihan, Hasan, S.M. Kamrul, Islam, Md Rakibul, Ahmed, Maruf

المصدر: Heliyon ; volume 10, issue 1, page e24061 ; ISSN 2405-8440

مصطلحات موضوعية: Multidisciplinary

الإتاحة: https://doi.org/10.1016/j.heliyon.2024.e24061Test
https://api.elsevier.com/content/article/PII:S2405844024000926?httpAccept=text/xmlTest
https://api.elsevier.com/content/article/PII:S2405844024000926?httpAccept=text/plainTest

المؤلفون: Hossain, Mohammad Jakir, Ghosh, Rupak Kumar, Das, Atanu Kumar, Nath, Shambhu Chandra, Islam, Md Rakibul, Akhter, Shaheen, Rahman, Md Saidur

المصدر: Journal of Wood Chemistry and Technology. 42(3):204-210

مصطلحات موضوعية: Bamboo, chemical characterization, biorefinery

الوصف: Determination of the chemical composition of biomaterial is important for their valued utilization in biorefinery. In this study, the chemical composition of five bamboo species, i.e., mitinga (Bambusa tulda), borak (Bambusa balcooa), rengoon (Thyrsostachys oliveri), orah (Dendrocalamus longispathus), and bajja (Bambusa vulgaris) were determined. The chemical characterization of these bamboo species can expedite a further study on the extraction of cellulose and lignin. alpha-cellulose content was in the range of 42.7-45.7% and Klason lignin content was 22.4-28.2%. The ash content was 1.8-4.3% for the studied five bamboo species. The alpha-cellulose and lignin content were similar to other non-timber spices. The ash content was lower than other non-timber species. Therefore, these species can be a potential source of raw material for biorefinery.

وصف الملف: print

الوصول الحر: https://urn.kb.se/resolve?urn=urn:nbn:se:ri:diva-74560Test
https://doi.org/10.1080/02773813.2022.2055770Test

المؤلفون: Alawad, Duaa, Panta, Manisha, Zibran, Minhaz, Islam, Md Rakibul

المصدر: 27th International Conference on Software Engineering and Data Engineering (SEDE), 2018

مصطلحات موضوعية: Computer Science - Software Engineering, Computer Science - Machine Learning

الوصف: Code readability and software complexity are important software quality metrics that impact other software metrics such as maintainability, reusability, portability and reliability. This paper presents an empirical study of the relationships between code readability and program complexity. The results are derived from an analysis of 35 Java programs that cover 23 distinct code constructs. The analysis includes six readability metrics and two complexity metrics. Our study empirically confirms the existing wisdom that readability and complexity are negatively correlated. Applying a machine learning technique, we also identify and rank those code constructs that substantially affect code readability.
Comment: 7 pages, 2 figures, 3 tables

الوصول الحر: http://arxiv.org/abs/1909.01760Test