发布求助
文献互助 智能选刊 最新文献

Journal of Science and Technology最新文献

筛选
英文 中文
Primary study on the components and physico chemical as well as biological properties of the essential oil from zingiber montanum growing in Lai Chau, Vietnam 关于生长在越南莱州的山银杏精油的成分、物理化学和生物特性的初步研究
Journal of Science and Technology Pub Date : 2024-01-25 DOI: 10.55401/t1edge24
Nguyen Van Loi
{"title":"Primary study on the components and physico chemical as well as biological properties of the essential oil from zingiber montanum growing in Lai Chau, Vietnam","authors":"Nguyen Van Loi","doi":"10.55401/t1edge24","DOIUrl":"https://doi.org/10.55401/t1edge24","url":null,"abstract":"The essential oil of Zingiber montanum (J.Koenig) Link ex A.Dietr. growing wild in the province Lai Chau of Vietnam was obtained by steam distillation and dried with Na2SO4. By GC-MS, 31 components in the essential oil were predicted by comparing their retention times and molecular weights mass spectra with those of the standards. In particular, there were 15 hydrocarbons (37.76% monoterpenes and 11.63% sesquiterpenes) and 16 oxygenated components (16.11% aldehydes, 19.99% alcohols, and 13.27% esters). The density (at 20oC), acid index, and ester index of the essential oil were 0.814 g/ml; 0.651 mgKOH/g, and 0.736 mgKOH/g, respectively. The antioxidant activity was determined by using 1,1-diphenyl-2-picrylhydrazol (DPPH) radical percentage inhibition and it was 48.07± 0.32%. Antimicrobial activity against Salmonella typhi, Bacillus cereus, Staphylococcus aureus and Escherichia coli of the essential oil was identified by agar diffusion method.","PeriodicalId":17073,"journal":{"name":"Journal of Science and Technology","volume":"15 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140495080","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
SOCIAL DISTANCE SHOPPING USING EMBEDDED BASED AUTO CART AND ANDROID IOT APP 使用嵌入式自动购物车和安卓智能机器人应用程序进行社交远程购物
Journal of Science and Technology Pub Date : 2024-01-25 DOI: 10.46243/jst.2024.v9.i01.pp187-193
G. A. L. G. Adi Laxmi
{"title":"SOCIAL DISTANCE SHOPPING USING EMBEDDED BASED AUTO CART AND ANDROID IOT APP","authors":"G. A. L. G. Adi Laxmi","doi":"10.46243/jst.2024.v9.i01.pp187-193","DOIUrl":"https://doi.org/10.46243/jst.2024.v9.i01.pp187-193","url":null,"abstract":"","PeriodicalId":17073,"journal":{"name":"Journal of Science and Technology","volume":"25 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140494903","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Nhân giống cây Bình vôi (stephania glabra (roxb.) miers) in vitroSettings Nhân giống cây Bình vôi (stephania glabra (roxb.) miers) 离体设置
Journal of Science and Technology Pub Date : 2024-01-25 DOI: 10.55401/ktkx1826
Nguyễn Thị Sen, Đỗ Tiến Vinh, Mai Thị Phương Hoa
{"title":"Nhân giống cây Bình vôi (stephania glabra (roxb.) miers) in vitroSettings","authors":"Nguyễn Thị Sen, Đỗ Tiến Vinh, Mai Thị Phương Hoa","doi":"10.55401/ktkx1826","DOIUrl":"https://doi.org/10.55401/ktkx1826","url":null,"abstract":"Bình vôi (Stephania glabra (roxb.) miers) là một loài cây dược liệu quí có tác dụng an thần, giảm đau, gây ngủ, hạ sốt, bảo vệ thần kinh, chống động kinh, hạ huyết áp. Ngoài tự nhiên, cây Bình vôi đang bị khai thác cạn kiệt, nguồn cung cây giống không đáp ứng nhu cầu phát triển diện tích trồng. Nghiên cứu nhân giống cây Bình vôi in vitro nhằm mục tiêu bảo tồn loài cây này. Kết quả đã xác định được chất khử trùng javel (75% trong thời gian 15 phút) và HgCl2 (0,1% trong thời gian 5 phút) cho tỉ lệ vô trùng chồi cây bình vôi đạt 89,42%; môi trường MS có bổ sung BA 2mg/l thích hợp cho quá trình nhân chồi; tỉ lệ ra rễ đạt 64,86% trên môi trường MS có bổ sung NAA 1mg/l.","PeriodicalId":17073,"journal":{"name":"Journal of Science and Technology","volume":"55 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140494640","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Sampling of atmospheric Hgo using home-made gold-coated sand sorbent prior to analysis by atomic absorption spectrometry 在使用原子吸收光谱法分析之前，使用自制的金包砂吸附剂对大气中的 Hgo 进行采样
Journal of Science and Technology Pub Date : 2024-01-25 DOI: 10.55401/c7bcvz83
Nguyen Van Dong, Le Thi Huynh, Mai, Truong Minh, Thai Huynh Tri, Thuc, Nguyễn Thị, My, Nguyen Quang, Thiện, B. Ánh, Thuy, Nguyen Thanh, Nguyen Nhan, Thi Thanh, Ngoc, Dao Huy, Hoang, Nguyễn Thị, Xuân Liễu
{"title":"Sampling of atmospheric Hgo using home-made gold-coated sand sorbent prior to analysis by atomic absorption spectrometry","authors":"Nguyen Van Dong, Le Thi Huynh, Mai, Truong Minh, Thai Huynh Tri, Thuc, Nguyễn Thị, My, Nguyen Quang, Thiện, B. Ánh, Thuy, Nguyen Thanh, Nguyen Nhan, Thi Thanh, Ngoc, Dao Huy, Hoang, Nguyễn Thị, Xuân Liễu","doi":"10.55401/c7bcvz83","DOIUrl":"https://doi.org/10.55401/c7bcvz83","url":null,"abstract":"Gold-coated sand for amalgamation was synthesized and applied for the determination of mercury in ambient air using a home-made dual gold trap unit coupled to atomic absorption spectrometer. Gold-coated sand is prepared by chemical reduction of Au(III) solution with hydroxylamine depositing elemental gold on acid-etched sand. A home-made dual gold trap unit which focused time-resolved mercury trapped from the sampling/first trap provided an increase in sensitivity and reliability for the analysis of ultra-trace mercury in air was designed and tested. Instrumental detection and quantitation limits (IDL and IQL) of system were 3.9 and 13pg Hg, respectively. Method detection and quantitation limits (MLOD and MLOQ) of system were 0.04 and 0.13ngHg.m-3 for sampling flow rate of 200mL.min-1 and sampling time of 8 hours. Sampling system for gaseous elemental mercury was set up and cooperated with home-made desorption system were preliminarily applied for analysis of atmospheric mercury in samples collected at Hochiminh city University of Science. The atmospheric mercury concentrations were in range of 2.7 – 8.1ng Hg. m-3 which were comparable to Hg concentration found in other cities in the world.","PeriodicalId":17073,"journal":{"name":"Journal of Science and Technology","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140495432","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
MACHINE LEARNING FOR ROBOT NAVIGATION CLASSIFICATION USING ULTRASOUND SENSOR DATA 利用超声波传感器数据进行机器人导航分类的机器学习
Journal of Science and Technology Pub Date : 2024-01-25 DOI: 10.46243/jst.2024.v9.i1.pp50-60
Dr. N. Baskar Dr. N. Baskar
{"title":"MACHINE LEARNING FOR ROBOT NAVIGATION CLASSIFICATION USING ULTRASOUND SENSOR DATA","authors":"Dr. N. Baskar Dr. N. Baskar","doi":"10.46243/jst.2024.v9.i1.pp50-60","DOIUrl":"https://doi.org/10.46243/jst.2024.v9.i1.pp50-60","url":null,"abstract":"Robot navigation is a crucial aspect of robotics, enabling autonomous robots to move safely and efficiently through their surroundings. Conventionally, engineers and programmers have relied on fixed rules and heuristics to guide robot movements. However, these rules are often specific to certain environments and struggle to adapt to new or changing conditions. For instance, simple obstacle avoidance techniques or path planning algorithms are commonly used. While effective in controlled settings, they lack the flexibility needed to handle diverse and unpredictable surroundings. In recent years, machine learning (ML) has emerged as a promising alternative. ML allows robots to learn from data and adjust their navigation strategies based on real-time sensory inputs. As a result, this project focuses on implementing ML for robot navigation classification","PeriodicalId":17073,"journal":{"name":"Journal of Science and Technology","volume":"70 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140496114","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
SARCASMET: EXTENSION OF LEXICON ALGORITHM FOR EMOJI-BASED SARCASM DETECTION FROM TWITTER DATA SARCASMET：从 twitter 数据中扩展基于表情符号的讽刺检测词典算法
Journal of Science and Technology Pub Date : 2024-01-25 DOI: 10.46243/jst.2024.v9.i1.pp76-88
 M. Sravan Kumar Babu  M. Sravan Kumar Babu
{"title":"SARCASMET: EXTENSION OF LEXICON ALGORITHM FOR EMOJI-BASED SARCASM DETECTION FROM TWITTER DATA","authors":" M. Sravan Kumar Babu  M. Sravan Kumar Babu","doi":"10.46243/jst.2024.v9.i1.pp76-88","DOIUrl":"https://doi.org/10.46243/jst.2024.v9.i1.pp76-88","url":null,"abstract":"","PeriodicalId":17073,"journal":{"name":"Journal of Science and Technology","volume":"84 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140496445","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Khảo sát định hướng nghề nghiệp của sinh viên Khoa Dược - Đại học Nguyễn Tất Thành Khảo sát định hướng nghề nghiệp của sinh viên Khoa Dược -Đại học Nguyễn Tất Thành
Journal of Science and Technology Pub Date : 2024-01-25 DOI: 10.55401/h896tv97
Nguyễn Thị Như Quỳnh
{"title":"Khảo sát định hướng nghề nghiệp của sinh viên Khoa Dược - Đại học Nguyễn Tất Thành","authors":"Nguyễn Thị Như Quỳnh","doi":"10.55401/h896tv97","DOIUrl":"https://doi.org/10.55401/h896tv97","url":null,"abstract":"Đề tài dùng bảng hỏi để khảo sát định hướng nghề nghiệp của 312 sinh viên khóa 13DDS chuẩn bị tốt nghiệp (255 sinh viên chuyên ngành Quản lí cung ứng thuốc, 57 sinh viên chuyên ngành Sản xuất thuốc) và 350 sinh viên khóa 14DDS chuẩn bị chọn chuyên ngành. Cỡ mẫu được tính theo công thức của Slovin (1960). Kết quả cho thấy 97,43% sinh viên khóa 14DDS và 95,19% khóa 13DDS lựa chọn đi làm sau khi tốt nghiệp. Khóa 13DDS lựa chọn: Dược sĩ nhà thuốc bệnh viện (11,91%), Nhân viên văn phòng (11,01%), Dược sĩ nhà thuốc tư nhân (9,51%). Chuyên ngành Quản lí cung ứng thuốc khóa 13DDS chọn Marketing (8,55%), Kinh doanh tự do (8,20%), Trình dược viên (7,50%); chuyên ngành Sản xuất thuốc chọn QA (13,43%) và QC (7,46%). Có 86,29% sinh viên 14DDS dự định chọn chuyên ngành Quản lí cung ứng thuốc, tương đồng với khóa 13DDS và hoàn toàn phù hợp với thực tế nhu cầu xã hội. Khóa 14DDS lựa chọn: Dược sĩ nhà thuốc tư nhân (15%), Kinh doanh tự do 13%, Dược sĩ nhà thuốc bệnh viện và marketing dược chiếm 10%. Chỉ có 5% sinh viên của mỗi khóa chọn Dược sĩ lâm sàng, 3% sinh viên khóa 13DDS và 2% sinh viên khóa 14DDS chọn nuôi trồng dược liệu. Mức lương mong muốn là 8 – dưới 12 triệu (47,1% khóa 13DDS, 44,9% khóa 14DDS), 5 – dưới 8 triệu (39,7% khóa 13DDS, 38,5% khóa 14DDS)…","PeriodicalId":17073,"journal":{"name":"Journal of Science and Technology","volume":"118 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140495362","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
SARCAMNET: EXTENSION OF LEXICON ALGORITHM FOR EMOJI-BASED SARCASM DETECTION FROM TWITTER DATA SARCAMNET：从 twitter 数据中扩展基于表情符号的讽刺检测词典算法
Journal of Science and Technology Pub Date : 2024-01-25 DOI: 10.46243/jst.2024.v9.i01.pp116-124
 Dr.SUBBA Reddy Borra  Dr.SUBBA REDDY BORRA
{"title":"SARCAMNET: EXTENSION OF LEXICON ALGORITHM FOR EMOJI-BASED SARCASM DETECTION FROM TWITTER DATA","authors":" Dr.SUBBA Reddy Borra  Dr.SUBBA REDDY BORRA","doi":"10.46243/jst.2024.v9.i01.pp116-124","DOIUrl":"https://doi.org/10.46243/jst.2024.v9.i01.pp116-124","url":null,"abstract":":- Lexicon algorithm is used to determine the sentiment expressed by a textual content. This sentiment might be negative, neutral, or positive. It is possible to be sarcastic using only positive or neutral sentiment textual contents. Hence, lexicon algorithm can be useful but insufficient for sarcasm detection. It is necessary to extend the lexicon algorithm to come up with systems that would be proven efficient for sarcasm detection on neutral and positive sentiment textual contents. In this paper, two sarcasm analysis systems both obtained from the extension of the lexicon algorithm have been proposed for that sake. The first system consists of the combination of a lexicon algorithm and a pure sarcasm analysis algorithm. The second system consists of the combination of a lexicon algorithm and a sentiment prediction algorithm. Finally, naive bayes are used to predict sarcasm detection using pretrained features.","PeriodicalId":17073,"journal":{"name":"Journal of Science and Technology","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140496636","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
AI Based Detecting Deception in Online Interactions: An Analysis of the Dishonest Internet Users 基于人工智能的在线互动中的欺骗检测：对不诚实网民的分析
Journal of Science and Technology Pub Date : 2024-01-25 DOI: 10.46243/jst.2024.v9.i1.pp39-49
A. Sneha, U. Leenasri, V. Anusha, S. Shirisha, AI “, Article Info
{"title":"AI Based Detecting Deception in Online Interactions: An Analysis of the Dishonest Internet Users","authors":"A. Sneha, U. Leenasri, V. Anusha, S. Shirisha, AI “, Article Info","doi":"10.46243/jst.2024.v9.i1.pp39-49","DOIUrl":"https://doi.org/10.46243/jst.2024.v9.i1.pp39-49","url":null,"abstract":"With the widespread adoption of the internet, online interactions have become an integral part of modern communication. However, this surge in digital interactions has also brought about a significant rise in deceptive practices, ranging from misinformation and fraud to identity theft and cyberbullying. Detecting and mitigating these dishonest behaviors has become a critical concern for maintaining trust and integrity in digital communities. The primary challenge lies in developing a robust and automated system capable of identifying deceptive content amidst the vast volume of online interactions. In the absence of advanced AI-based systems, deception detection in online interactions has heavily relied on manual monitoring, keyword-based filters","PeriodicalId":17073,"journal":{"name":"Journal of Science and Technology","volume":"17 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140496139","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Phân tích hoạt động cung ứng các loại vắc-xin dịch vụ tại Trung tâm Y tế Dự phòng huyện Hóc Môn, Tp. Hồ Chí Minh năm 2016 弘扬中国传统文化，弘扬中华优秀传统文化，弘扬中华优秀传统文化，弘扬中华优秀传统文化，弘扬中华优秀传统文化。回民 2016年
Journal of Science and Technology Pub Date : 2024-01-25 DOI: 10.55401/pb2tk894
Nguyễn Hoàng Khánh Linh
{"title":"Phân tích hoạt động cung ứng các loại vắc-xin dịch vụ tại Trung tâm Y tế Dự phòng huyện Hóc Môn, Tp. Hồ Chí Minh năm 2016","authors":"Nguyễn Hoàng Khánh Linh","doi":"10.55401/pb2tk894","DOIUrl":"https://doi.org/10.55401/pb2tk894","url":null,"abstract":"Tiêm vắc-xin là biện pháp phòng bệnh hiệu quả nhất. Việc triển khai hoạt động tiêm chủng giúp nhiều thế hệ trẻ em được bảo vệ khỏi các bệnh dịch nguy hiểm. Tiêm chủng là một trong những can thiệp y tế thành công và hiệu quả giúp ngăn ngừa từ 2 đến 3 triệu ca tử vong mỗi năm, giúp giảm chi phí điều trị, giảm nguy cơ tàn phế của trẻ em. Chúng tôi đã thiết lập được qui trình lựa chọn vắc-xin dịch vụ và xây dựng danh mục có 29 loại, được tổng hợp từ nguồn báo cáo sử dụng của Khoa Kiểm soát Dịch bệnh phù hợp với mô hình dịch bệnh của địa phương, phù hợp với trình độ chuyên môn, điều kiện hoạt động của Trung tâm, đảm bảo cho công tác cung ứng nhanh, giá cả ổn định, dễ theo dõi, dễ kiểm soát.","PeriodicalId":17073,"journal":{"name":"Journal of Science and Technology","volume":"19 7-8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140496207","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：481959085
Book学术官方微信