40 research outputs found
Collected Papers (on Neutrosophic Theory and Its Applications in Algebra), Volume IX
No full textThis ninth volume of Collected Papers includes 87 papers comprising 982 pages on Neutrosophic Theory and its applications in Algebra, written between 2014-2022 by the author alone or in collaboration with the following 81 co-authors (alphabetically ordered) from 19 countries: E.O. Adeleke, A.A.A. Agboola, Ahmed B. Al-Nafee, Ahmed Mostafa Khalil, Akbar Rezaei, S.A. Akinleye, Ali Hassan, Mumtaz Ali, Rajab Ali Borzooei , Assia Bakali, Cenap Özel, Victor Christianto, Chunxin Bo, Rakhal Das, Bijan Davvaz, R. Dhavaseelan, B. Elavarasan, Fahad Alsharari, T. Gharibah, Hina Gulzar, Hashem Bordbar, Le Hoang Son, Emmanuel Ilojide, Tèmítópé Gbóláhàn Jaíyéolá, M. Karthika, Ilanthenral Kandasamy, W.B. Vasantha Kandasamy, Huma Khan, Madad Khan, Mohsin Khan, Hee Sik Kim, Seon Jeong Kim, Valeri Kromov, R. M. Latif, Madeleine Al-Tahan, Mehmat Ali Ozturk, Minghao Hu, S. Mirvakili, Mohammad Abobala, Mohammad Hamidi, Mohammed Abdel-Sattar, Mohammed A. Al Shumrani, Mohamed Talea, Muhammad Akram, Muhammad Aslam, Muhammad Aslam Malik, Muhammad Gulistan, Muhammad Shabir, G. Muhiuddin, Memudu Olaposi Olatinwo, Osman Anis, Choonkil Park, M. Parimala, Ping Li, K. Porselvi, D. Preethi, S. Rajareega, N. Rajesh, Udhayakumar Ramalingam, Riad K. Al-Hamido, Yaser Saber, Arsham Borumand Saeid, Saeid Jafari, Said Broumi, A.A. Salama, Ganeshsree Selvachandran, Songtao Shao, Seok-Zun Song, Tahsin Oner, M. Mohseni Takallo, Binod Chandra Tripathy, Tugce Katican, J. Vimala, Xiaohong Zhang, Xiaoyan Mao, Xiaoying Wu, Xingliang Liang, Xin Zhou, Yingcang Ma, Young Bae Jun, Juanjuan Zhang
Pharmaceutical Prices with Insurance Coverage and Formularies.
No full textIn this paper, the author evaluates the success of formulary pricing. Formulary pricing is a price-tendering system used to generate competition among drug suppliers. The paper develops a model of pricing in an uncertain auction from the point of view of a typical firm. The ability to make side-payments in the form of kickbacks to pharmacists segments the transaction into two stages. After the first-stage bidding, the second stage involves a renegotiation between pharmacists and the supplying firm. An econometric test for this model is developed and the empirical evidence is found to support the model well.
Collected Papers (Neutrosophic Theories and Applications; Neutrosophic Statistics; Advances in Plithogenic Sets; Logic & Thought; Physics & Cosmology), Volume XVI
No full textThis sixteenth volume of Collected Papers is an extensive work, comprising 78 articles that span almost 1000 pages. The papers, originally published in various scientific journals, cover the broad and interdisciplinary fields of neutrosophics and other areas of study, including logic, philosophy, physics, mathematics, statistics, information fusion, and robotics. The volume features articles authored by Florentin Smarandache, either alone or in collaboration with 81 co-authors (from 21 different countries): Shumaila Abbas, Mohammed Abdel-Sattar, M. Modather M. Abdoug, Usama Afzal, Daud Ahmad, Abdulrahman AlAita, Shahbaz Ali, Fahad Alsharari, Suriana Alias, Saima Anis, Muhammad Aslam, Hamdi Ayed, M.B. Bera, Noel Batista-Hernández, Robert N. Boyd, Said Broumi, Claudia Camacho-Zuñiga, T. Daniel Chandra, Ebenezer Chifu, Victor Christianto, Mihaela Colhon, Shrouk El-Amir, Ibrahim El-Henawy, Takaaki Fujita, Nguyen Long Giang, Ana González-Marcos, Phung The Huan, Sadia Iqbal, Azhar Ali Janjua, Maissam Jdid, Madad Khan, Waris Khan, Muhammad Shahid Khan, Anamika Kumari, Luong Thi Hong Lan, M. Lathamaheswari, B.S. Mahapatra, G.S. Mahapatra, Muhammad Khalid Mahmood, Nivetha Martin, Pierre Millette, Mona Mohamed, M.K. Mondal, Bahnishikha Roy Muhuri, Norzieha Mustapha, Fermín Navaridas-Nalda, Tran Thi Ngan, Antonios Paraskevas, P. Prabakaran, Madiha Qayyum, Shazia Rana, Alina Reșceanu, Jesus Estupiñan Ricardo, Andreas Ries, Yaser Saber, Muhammad Saeed, Taoufik Saidani, P. Sathya, Noorazliyana Shafii, Muhammad Ahmed Shehzad, Rehan Ahmad Khan Sherwani, Rajesh Singh, Le Hoang Son, S. Sudha, Vu Duc Thai, Hugo Terashima-Marin, Nguyen Tho Thong, Pham Huy Thong, Monica Tilea, Tran Manh Tuan, Yunita Umniyati, Maikel Leyva Vázquez, Michael Gr. Voskoglou, Mohammad Kaif Wajid, Mohammad Saif Wajid, Mohd Anas Wajid, Roliza Md Yasin, Shouzhen Zeng, Muhammad Zeeshan, Alia Nur Izzah Zulkifli
A study on exponentiated Gompertz distribution under Bayesian discipline using informative priors
No full textThe exponentiated Gompertz (EGZ) distribution has been recently used in almost all areas of human endeavours, starting from modelling lifetime data to cancer treatment. Various applications and properties of the EGZ distribution are provided by Anis and De (2020). This paper explores the important properties of the EGZ distribution under Bayesian discipline using two informative priors: the Gamma Prior (GP) and the Inverse Levy Prior (ILP). This is done in the framework of five selected loss functions. The findings show that the two best loss functions are the Weighted Balance Loss Function (WBLF) and the Quadratic Loss Function (QLF). The usefulness of the model is illustrated by the use of real life data in relation to simulated data. The empirical results of the comparison are presented through a graphical illustration of the posterior distributions
Collected Papers (Neutrosophic Theories and Applications; Neutrosophic Statistics; Advances in Plithogenic Sets; Logic & Thought; Physics & Cosmology), Volume XVI
No full textThis sixteenth volume of Collected Papers is an extensive work, comprising 78 articles that span almost 1000 pages. The papers, originally published in various scientific journals, cover the broad and interdisciplinary fields of neutrosophics and other areas of study, including logic, philosophy, physics, mathematics, statistics, information fusion, and robotics. The volume features articles authored by Florentin Smarandache, either alone or in collaboration with 81 co-authors (from 21 different countries): Shumaila Abbas, Mohammed Abdel-Sattar, M. Modather M. Abdoug, Usama Afzal, Daud Ahmad, Abdulrahman AlAita, Shahbaz Ali, Fahad Alsharari, Suriana Alias, Saima Anis, Muhammad Aslam, Hamdi Ayed, M.B. Bera, Noel Batista-Hernández, Robert N. Boyd, Said Broumi, Claudia Camacho-Zuñiga, T. Daniel Chandra, Ebenezer Chifu, Victor Christianto, Mihaela Colhon, Shrouk El-Amir, Ibrahim El-Henawy, Takaaki Fujita, Nguyen Long Giang, Ana González-Marcos, Phung The Huan, Sadia Iqbal, Azhar Ali Janjua, Maissam Jdid, Madad Khan, Waris Khan, Muhammad Shahid Khan, Anamika Kumari, Luong Thi Hong Lan, M. Lathamaheswari, B.S. Mahapatra, G.S. Mahapatra, Muhammad Khalid Mahmood, Nivetha Martin, Pierre Millette, Mona Mohamed, M.K. Mondal, Bahnishikha Roy Muhuri, Norzieha Mustapha, Fermín Navaridas-Nalda, Tran Thi Ngan, Antonios Paraskevas, P. Prabakaran, Madiha Qayyum, Shazia Rana, Alina Reșceanu, Jesus Estupiñan Ricardo, Andreas Ries, Yaser Saber, Muhammad Saeed, Taoufik Saidani, P. Sathya, Noorazliyana Shafii, Muhammad Ahmed Shehzad, Rehan Ahmad Khan Sherwani, Rajesh Singh, Le Hoang Son, S. Sudha, Vu Duc Thai, Hugo Terashima-Marin, Nguyen Tho Thong, Pham Huy Thong, Monica Tilea, Tran Manh Tuan, Yunita Umniyati, Maikel Leyva Vázquez, Michael Gr. Voskoglou, Mohammad Kaif Wajid, Mohammad Saif Wajid, Mohd Anas Wajid, Roliza Md Yasin, Shouzhen Zeng, Muhammad Zeeshan, Alia Nur Izzah Zulkifli
A study on exponentiated Gompertz distribution under Bayesian discipline using informative priors
No full textThe exponentiated Gompertz (EGZ) distribution has been recently used in almost all areas of human endeavours, starting from modelling lifetime data to cancer treatment. Various applications and properties of the EGZ distribution are provided by Anis and De (2020). This paper explores the important properties of the EGZ distribution under Bayesian discipline using two informative priors: the Gamma Prior (GP) and the Inverse Levy Prior (ILP). This is done in the framework of five selected loss functions. The findings show that the two best loss functions are the Weighted Balance Loss Function (WBLF) and the Quadratic Loss Function (QLF). The usefulness of the model is illustrated by the use of reallife data in relation to simulated data. The empirical results of the comparison are presented through a graphical illustration of the posterior distributions
Hydrogen Revolution: Advances in Catalytic Ammonia Decomposition
No full textThe simple storage of ammonia combined with the tendency to liberate hydrogen without carbon dioxide emissions has made ammonia breakdown popular among the research community in recent years. This review article has discussed the current advances in ammonia breakdown technology for hydrogen generation, focusing on new materials and mechanical designs for catalysis. Moreover, it would help to update the knowledge about the catalytic reaction processes and emphasize the benefits and drawbacks of each strategy. Furthermore, the significance of discovering a cost-effective metal catalyst with better efficiency and higher reliability is also debated. This article may serve as a fundamental resource to scale up information about the catalytic production of hydrogen from ammonia
Using Economic Evaluations to Make Formulary Coverage Decisions: So Much for Guidelines
No full textBackground: It is mandatory for drug manufacturers requesting formulary inclusion under the British Columbia (BC) provincial drug plan to submit a pharmacoeconomic analysis according to published guidelines. These submissions are reviewed by the Pharmacoeconomic Initiative (PI) of BC. Objective: To assess the compliance of submitted studies with specific criteria outlined in the guidelines, to assess the methodological quality of individual submissions, and to demonstrate the importance of submitting guidelines-compliant pharmacoeconomic analyses. Data and Methods: All submissions between January 1996 and April 1999 assessed by the PI of BC were included. Submissions were reviewed according to a checklist to establish compliance with respect to choice of comparator drug, study perspective, sensitivity analysis, analytical horizon and discounting. Submissions were examined for association between analytical technique and author, and between source of submission and compliance. Association between compliance and recommendation for approval was also examined. Results: 95 applications were reviewed. Seven submitted no analyses. There were 25 cost-comparison/consequence, 14 cost-effectiveness, 11 cost-minimisation, 9 cost-utility/benefit and 29 budget-impact analyses. 65 of these 88 submissions failed to comply with guidelines. Of these, 45% used an inappropriate comparator drug, 61% lacked a sensitivity analysis, 73% used a third-party payer and excluded a societal perspective, 66% did not provide a long term evaluation and 25% did not specify any time horizon. 80% of noncompliant studies were cost-comparison/consequence or budget-impact analyses (pCost analysis, Formularies, Pharmacoeconomics, Practice guideline
{5-Chloro-2-[(4-chlorobenzylidene)amino]phenyl}(phenyl)methanone
No full textIn the title compound, C20H13Cl2NO, the C=N bond adopts an E conformation. The chloro-substituted rings form a dihedral angle of 11.99 (9)° with each other and form dihedral angles of 74.95 (9) and 83.26 (10)° with the unsubstituted ring. In the crystal, molecules are connected into dimers by pairs of weak C—H...O hydrogen bonds and the dimers are arranged in columns parallel to the a axis
Identifying Cancer Patients at risk for Heart Failure using deep learning models
No full textThe cardiotoxicity that may occur as a side effect of cancer treatments has emerged as a significant problem. Cancer patient’s quality of life may be improved if those at risk of cardiotoxicity are identified early and given prophylactic treatments before receiving cardio toxic drugs. The advancement of deep learning will help to support medical practitioners in their ability to make accurate. This study will focus on predicting the enhancement of heart failure in cancer patients. The purpose of this research is to determine whether historical data from electronic health records can accurately predict the occurrence of heart failure in cancer patients. We investigated deep learning algorithms by applying them to 300 cancer patient’s dataset drawn from the Seer database. We determined that there were a total of 300 eligible cases and matched them with controls according to gender age and the primary cancer type etc. Results from the tests suggest that techniques based on deep learning may effectively capture clinical characteristics linked with heart failure in cancer patients
