100 research outputs found
with leishmanicidal activity: computational and experimental evidence
No full textPistacia chinensis subsp. integerrima is a valuable medicinal plant as its parts and extracts found application for treating diarrhea, fever, liver disorders, asthma, and inflammation. In this study, we report the leishmanicidal activity of sakuranetin, spinacetin, and patuletin extracted from P. chinensis. The tested compounds revealed a strong anti-leishmanial activity in vitro against Leishmania major showing IC50 values of 7.98 & PLUSMN; 0.16 & mu;M, 9.23 & PLUSMN; 0.23 & mu;M 11.09 & PLUSMN; 0.87 & mu;M for sakuranetin, spinacetin, and patuletin, respectively. Moreover, to explore the potential mechanism(s) by which the compounds may act, computational docking studies were performed against dihydrofolate reductase and pteridine reductase, showing that the flavonoids could target these two key enzymes to exploit their leishmanicidal activity. In accordance with in vitro results, patuletin was highlighted as the most promising compound of the set, and binding energy values of -6.72 and -6.74 kcal/mol were computed for the two proteins, respectively
Writer Identification Using Microblogging Texts for Social Media Forensics
No full textEstablishing authorship of online texts is fundamental to combat cybercrimes. Unfortunately, text length is limited on some platforms, making the challenge harder. We aim at identifying the authorship of Twitter messages limited to 140 characters. We evaluate popular stylometric features, widely used in literary analysis, and specific Twitter features like URLs, hashtags, replies or quotes. We use two databases with 93 and 3957 authors, respectively. We test varying sized author sets and varying amounts of training/test texts per author. Performance is further improved by feature combination via automatic selection. With a large amount of training Tweets (>500), a good accuracy (Rank-5>80%) is achievable with only a few dozens of test Tweets, even with several thousands of authors. With smaller sample sizes (10-20 training Tweets), the search space can be diminished by 9-15% while keeping a high chance that the correct author is retrieved among the candidates. In such cases, automatic attribution can provide significant time savings to experts in suspect search. For completeness, we report verification results. With few training/test Tweets, the EER is above 20-25%, which is reduced to < 15% if hundreds of training Tweets are available. We also quantify the computational complexity and time permanence of the employed features. © 2019 IEEE.Funding: This work was supported in part by the project 2016-03497 of the Swedish Research Council. Naveed Muhammad has been funded by European Social Fund via IT Academy programme. The authors also thank the CAISR Program of the Swedish Knowledge Foundation.</p
Modelling Interactions Between Traffic and Crosswalk Agents at Unsignalized Crossings
No full textAgent behaviour modelling is currently one of the most challenging topics in the autonomous driving industry meaning that more research is needed in order to understand how autonomous cars should be interacting and behaving around pedestrians and cyclists. The research includes modelling vehicle-bicycle interactions based on hierarchical modelling framework [1] generating different features mentioned in literature and some proposed by author, selecting relevant ones using F value and finally creating a simple logistic regression model for estimating the drivers yielding probability. As a result, a model with following features is suggested: bicycle distance from conflict zone when vehicle enters the interaction zone, vehicle mean speed inside interaction zone, minimum speed distance and minimum speed inside interaction zone. The research also indicates that driver yielding probability is reduces with higher vehicle speed and higher bicycle distance. Furthermore, the data indicates that drivers who perceive a conflict but do not yield experience the highest mean speed referring that some vehicles do accelerate in order to avoid giving way. Additionally, the low variation in bicycles’ speed indicates cyclists’ assertive behaviour and perhaps expectations for the vehicle to yield
انتظار حسین کے دو نایاب اردو اسٹیج ڈرامے
No full textThis essay reviews two plays of short story writer and novelist Intezar Hussain. These are his lesser known works. The author brings to light the significance of the themes of these plays that highlight what he believes to be a disintegrating value system in society. It also reviews the characters of the play and the effective use of language
Collected Papers (on Neutrosophics, Plithogenics, Hypersoft Set, Hypergraphs, and other topics), Volume X
No full textThis tenth volume of Collected Papers includes 86 papers in English and Spanish languages comprising 972 pages, written between 2014-2022 by the author alone or in collaboration with the following 105 co-authors (alphabetically ordered) from 26 countries: Abu Sufian, Ali Hassan, Ali Safaa Sadiq, Anirudha Ghosh, Assia Bakali, Atiqe Ur Rahman, Laura Bogdan, Willem K.M. Brauers, Erick González Caballero, Fausto Cavallaro, Gavrilă Calefariu, T. Chalapathi, Victor Christianto, Mihaela Colhon, Sergiu Boris Cononovici, Mamoni Dhar, Irfan Deli, Rebeca Escobar-Jara, Alexandru Gal, N. Gandotra, Sudipta Gayen, Vassilis C. Gerogiannis, Noel Batista Hernández, Hongnian Yu, Hongbo Wang, Mihaiela Iliescu, F. Nirmala Irudayam, Sripati Jha, Darjan Karabašević, T. Katican, Bakhtawar Ali Khan, Hina Khan, Volodymyr Krasnoholovets, R. Kiran Kumar, Manoranjan Kumar Singh, Ranjan Kumar, M. Lathamaheswari, Yasar Mahmood, Nivetha Martin, Adrian Mărgean, Octavian Melinte, Mingcong Deng, Marcel Migdalovici, Monika Moga, Sana Moin, Mohamed Abdel-Basset, Mohamed Elhoseny, Rehab Mohamed, Mohamed Talea, Kalyan Mondal, Muhammad Aslam, Muhammad Aslam Malik, Muhammad Ihsan, Muhammad Naveed Jafar, Muhammad Rayees Ahmad, Muhammad Saeed, Muhammad Saqlain, Muhammad Shabir, Mujahid Abbas, Mumtaz Ali, Radu I. Munteanu, Ghulam Murtaza, Munazza Naz, Tahsin Oner, Gabrijela Popović, Surapati Pramanik, R. Priya, S.P. Priyadharshini, Midha Qayyum, Quang-Thinh Bui, Shazia Rana, Akbara Rezaei, Jesús Estupiñán Ricardo, Rıdvan Sahin, Saeeda Mirvakili, Said Broumi, A. A. Salama, Flavius Aurelian Sârbu, Ganeshsree Selvachandran, Javid Shabbir, Shio Gai Quek, Son Hoang Le, Florentin Smarandache, Dragiša Stanujkić, S. Sudha, Taha Yasin Ozturk, Zaigham Tahir, The Houw Iong, Ayse Topal, Alptekin Ulutaș, Maikel Yelandi Leyva Vázquez, Rizha Vitania, Luige Vlădăreanu, Victor Vlădăreanu, Ștefan Vlăduțescu, J. Vimala, Dan Valeriu Voinea, Adem Yolcu, Yongfei Feng, Abd El-Nasser H. Zaied, Edmundas Kazimieras Zavadskas.
Collected Papers (on Neutrosophics, Plithogenics, Hypersoft Set, Hypergraphs, and other topics), Volume X
No full textThis tenth volume of Collected Papers includes 86 papers in English and Spanish languages comprising 972 pages, written between 2014-2022 by the author alone or in collaboration with the following 105 co-authors (alphabetically ordered) from 26 countries: Abu Sufian, Ali Hassan, Ali Safaa Sadiq, Anirudha Ghosh, Assia Bakali, Atiqe Ur Rahman, Laura Bogdan, Willem K.M. Brauers, Erick González Caballero, Fausto Cavallaro, Gavrilă Calefariu, T. Chalapathi, Victor Christianto, Mihaela Colhon, Sergiu Boris Cononovici, Mamoni Dhar, Irfan Deli, Rebeca Escobar-Jara, Alexandru Gal, N. Gandotra, Sudipta Gayen, Vassilis C. Gerogiannis, Noel Batista Hernández, Hongnian Yu, Hongbo Wang, Mihaiela Iliescu, F. Nirmala Irudayam, Sripati Jha, Darjan Karabašević, T. Katican, Bakhtawar Ali Khan, Hina Khan, Volodymyr Krasnoholovets, R. Kiran Kumar, Manoranjan Kumar Singh, Ranjan Kumar, M. Lathamaheswari, Yasar Mahmood, Nivetha Martin, Adrian Mărgean, Octavian Melinte, Mingcong Deng, Marcel Migdalovici, Monika Moga, Sana Moin, Mohamed Abdel-Basset, Mohamed Elhoseny, Rehab Mohamed, Mohamed Talea, Kalyan Mondal, Muhammad Aslam, Muhammad Aslam Malik, Muhammad Ihsan, Muhammad Naveed Jafar, Muhammad Rayees Ahmad, Muhammad Saeed, Muhammad Saqlain, Muhammad Shabir, Mujahid Abbas, Mumtaz Ali, Radu I. Munteanu, Ghulam Murtaza, Munazza Naz, Tahsin Oner, Gabrijela Popović, Surapati Pramanik, R. Priya, S.P. Priyadharshini, Midha Qayyum, Quang-Thinh Bui, Shazia Rana, Akbara Rezaei, Jesús Estupiñán Ricardo, Rıdvan Sahin, Saeeda Mirvakili, Said Broumi, A. A. Salama, Flavius Aurelian Sârbu, Ganeshsree Selvachandran, Javid Shabbir, Shio Gai Quek, Son Hoang Le, Florentin Smarandache, Dragiša Stanujkić, S. Sudha, Taha Yasin Ozturk, Zaigham Tahir, The Houw Iong, Ayse Topal, Alptekin Ulutaș, Maikel Yelandi Leyva Vázquez, Rizha Vitania, Luige Vlădăreanu, Victor Vlădăreanu, Ștefan Vlăduțescu, J. Vimala, Dan Valeriu Voinea, Adem Yolcu, Yongfei Feng, Abd El-Nasser H. Zaied, Edmundas Kazimieras Zavadskas.
پاکستانی غزل میں عالم مثال کا تصور
No full textIn Plato Socratic dialogues, he theorizes that since the material world is changing and therefore unreliable in nature, it is merely a product, an imitation of whatever exists in the World of Ideas/Forms. In this Ideal World, all ideas are organic and real; this world is just a replica of that. Hindi metaphysics also claims that this world is only an illusion. Mystic, philosopher and poet, Mohyiddin Ibn`Arabi proposed a very similar idea, suggesting that the Unity of Being is a single reality in its truest form, and all that the world contains is merely an image. In this article, the author explores how the concept of World of Ideas is contained and exhibited within the ghazal form. It appears that the concept allows for a freer flow of ideas within poetry, that the artist can explore both worlds
Exploring the Potential Applications of AI in Climate Modeling, Renewable Energy Development, and Disaster Preparedness, While Considering the Ethical Risks
No full textThis research examines the numerous applications of Artificial Intelligence in climate modeling, renewable energy systems, and disaster preparedness in terms of its significant impacts on prediction accuracy, system optimization, and effectiveness in disaster response efforts, especially in Punjab, Pakistan. In order to achieve this, the research adopted a quantitative research design that allowed for the systematic collection of data from 176 participants. This population included diverse groups of policymakers, government officials, and industry stakeholders, and the data was collected through a snowball sampling technique that assisted in reaching an appropriate range of relevant respondents. Data were collected through self-administered questionnaires prepared for the study population to respond and analyze the information provided using several statistical tools and techniques such as correlation and regression, and ANOVA. Findings from this analysis clearly show that artificial intelligence has a great deal to do with making efficiency improve in different domains such as in climate modeling, renewable production of energy, and readiness for disaster preparedness depending on professional activities among the subjects' perceptions. Regression also confirmed that there is a very significant correlation between applications of artificial intelligence and stakeholder perceptions within these domains. The results obtained from ANOVA analysis have succeeded in underlining and highlighting major and significant differences that happen to exist in performance when such comparisons are made between different kinds of stakeholder groups. Such results will serve to throw into sharp relief and accentuate the critical importance of artificial intelligence in addressing complex problems in climate and energy, while creating attention to the urgent need for different and tailored policies that appropriately address and respond to divergent and differing perspectives expressed by these various stakeholders. The study concludes by making recommendations on cooperation, responsible AI practices, and investment in AI infrastructure towards sustainable development and climate resilience
Collected Papers (on Neutrosophic Theory and Applications), Volume VII
No full textThis seventh volume of Collected Papers includes 70 papers comprising 974 pages on (theoretic and applied) neutrosophics, written between 2013-2021 by the author alone or in collaboration with the following 122 co-authors from 22 countries: Mohamed Abdel-Basset, Abdel-Nasser Hussian, C. Alexander, Mumtaz Ali, Yaman Akbulut, Amir Abdullah, Amira S. Ashour, Assia Bakali, Kousik Bhattacharya, Kainat Bibi, R. N. Boyd, Ümit Budak, Lulu Cai, Cenap Özel, Chang Su Kim, Victor Christianto, Chunlai Du, Chunxin Bo, Rituparna Chutia, Cu Nguyen Giap, Dao The Son, Vinayak Devvrat, Arindam Dey, Partha Pratim Dey, Fahad Alsharari, Feng Yongfei, S. Ganesan, Shivam Ghildiyal, Bibhas C. Giri, Masooma Raza Hashmi, Ahmed Refaat Hawas, Hoang Viet Long, Le Hoang Son, Hongbo Wang, Hongnian Yu, Mihaiela Iliescu, Saeid Jafari, Temitope Gbolahan Jaiyeola, Naeem Jan, R. Jeevitha, Jun Ye, Anup Khan, Madad Khan, Salma Khan, Ilanthenral Kandasamy, W.B. Vasantha Kandasamy, Darjan Karabašević, Kifayat Ullah, Kishore Kumar P.K., Sujit Kumar De, Prasun Kumar Nayak, Malayalan Lathamaheswari, Luong Thi Hong Lan, Anam Luqman, Luu Quoc Dat, Tahir Mahmood, Hafsa M. Malik, Nivetha Martin, Mai Mohamed, Parimala Mani, Mingcong Deng, Mohammed A. Al Shumrani, Mohammad Hamidi, Mohamed Talea, Kalyan Mondal, Muhammad Akram, Muhammad Gulistan, Farshid Mofidnakhaei, Muhammad Shoaib, Muhammad Riaz, Karthika Muthusamy, Nabeela Ishfaq, Deivanayagampillai Nagarajan, Sumera Naz, Nguyen Dinh Hoa, Nguyen Tho Thong, Nguyen Xuan Thao, Noor ul Amin, Dragan Pamučar, Gabrijela Popović, S. Krishna Prabha, Surapati Pramanik, Priya R, Qiaoyan Li, Yaser Saber, Said Broumi, Saima Anis, Saleem Abdullah, Ganeshsree Selvachandran, Abdulkadir Sengür, Seyed Ahmad Edalatpanah, Shahbaz Ali, Shahzaib Ashraf, Shouzhen Zeng, Shio Gai Quek, Shuangwu Zhu, Shumaiza, Sidra Sayed, Sohail Iqbal, Songtao Shao, Sundas Shahzadi, Dragiša Stanujkić, Željko Stević, Udhayakumar Ramalingam, Zunaira Rashid, Hossein Rashmanlou, Rajkumar Verma, Luige Vlădăreanu, Victor Vlădăreanu, Desmond Jun Yi Tey, Selçuk Topal, Naveed Yaqoob, Yanhui Guo, Yee Fei Gan, Yingcang Ma, Young Bae Jun, Yuping Lai, Hafiz Abdul Wahab, Wei Yang, Xiaohong Zhang, Edmundas Kazimieras Zavadskas, Lemnaouar Zedam
Homeless youth of Pakistan: Survival sex and HIV risk
No full textWhile homeless young people (HYP) are typically perceived as irresponsible and morally suspect individuals who lack essential social skills to navigate their lives, this book offers an alternative and more positive perspective. It demonstrates that HYP improvise with resources available on the streets to improve their social and financial status, although they experience significant social structural constraints. This ground-breaking text provides an analysis of social processes that contribute to young people\u27s homelessness, their engagement in sex work, their establishment of intimate partnerships, and sexual practices which may increase their risk of HIV and other sexually transmitted infections (STIs). The book demonstrates how the ongoing social and financial instability and insecurity neutralises HYP\u27s knowledge of HIV/STIs, and how financial considerations, fear of violence by clients, and social obligations in intimate partnerships contribute to their sexual risk-taking. The author argues that the conventional approach of promoting health through raising awareness regarding HIV/STI prevention may continue to bring less than promising outcomes unless we focus on how structural and contextual conditions operate in the backdrop and produce conditions less conducive for young people. Included in the coverage: factors that contribute to youth homelessness factors that shape sexual practice a Bourdieusian analysis of youth homelessness and sexual risk-taking a health promotion approach that can potentially reduce youth homelessness and their risk of HIV/STIs Homeless Youth of Pakistan: Survival Sex and HIV Risk will attract undergraduate and postgraduate students, and researchers interested in exploring issues such as youth homelessness, sexual risk-taking, and HIV/STIs.https://ecommons.aku.edu/books/1123/thumbnail.jp
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