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3. Ecological Approaches to Forest Restoration: Lessons Learned from Tropical Wet Asia

Author

Gunatilleke, Nimal, Neidel, J. David, Raman, T. R. Shankar, Gunaratne, Thilanka, Ashton, Mark, Gamage, Sunil, Gunatilleke, Savitri, Tennakoon, Kushan, Kathriarachchi, Hashendra, Ediriweera, Sisira, Geekiyanage, Nalaka, Burslem, David, Senevirathne, Gamini, Madawala, Sumedha, Gunasekera, Rasanga, Mudappa, Divya, Osuri, Anand M., Kasinathan, Srinivasan, Bhat, Kshama, Bande, Marlito, Yassir, Ishak, Milan, Paciencia, Arbainsyah, Compendio, Serica Joy, Florentine, Singarayer, editor, Gibson-Roy, Paul, editor, Dixon, Kingsley Wayne, editor, and Broadhurst, Linda, editor

Published
2023
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9. Triangular Array Token Petri Net and P System

Author

Kalyani, T., Raman, T. T., Thomas, D. G., Bhuvaneswari, K., Ravichandran, P., Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Freund, Rudolf, editor, Ishdorj, Tseren-Onolt, editor, Rozenberg, Grzegorz, editor, Salomaa, Arto, editor, and Zandron, Claudio, editor

Published
2021
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12. Extension of arithmetic and geometric aggregating operators using new type interval-valued neutrosophic sets.

Author

Palanikumar, M., Raman, T. T., Swaminathan, A., and Iampan, Aiyared

Subjects
NEUTROSOPHIC logic, GEOMETRIC analysis, ARITHMETIC, DATA analysis, MATHEMATICAL formulas
Abstract

The purpose of this article is to present a novel approach to the (δ, ε) interval-valued neutrosophic set (IVNS). This is an extension of the IVNS. As a result of this article, we will discuss the concept of (δ, ε) intervalvalued neutrosophic weighted averaging (IVNWA), (δ, ε) interval-valued neutrosophic weighted geometric (IVNWG), (δ, ε) generalized interval-valued neutrosophic weighted averaging (GIVNWA) and (δ, ε) generalized interval-valued neutrosophic weighted geometric (GIVNWG). Additionally, the (δ, ε) IVNS approach is characterized by idempotency, boundedness, commutativity and monotonicity. [ABSTRACT FROM AUTHOR]

Published
2024
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13. New approach towards (ð1, ð2, ð3) neutrosophic normal interval valued set applied to sin trigonometric aggregating operator and its generalization.

Author

Vijayalakshmi, V., Dhas, S. Sahaya Jude, Raman, T. T., and Aiyared Iampan

Subjects
TRIGONOMETRY, NEUTROSOPHIC logic, GEOMETRY, FUZZY sets, SET theory
Abstract

We introduce the concept of sine trigonometric (ð1, ð2, ð3) neutrosophic normal interval valued set. An identifying sine trigonometric (ð1, ð2, ð3) neutrosophic normal interval valued set is a combination of (ð1, ð2, ð3) neutrosophic interval valued set and neutrosophic interval valued set. We communicate the new aggregating operator such as sine trigonometric (ð1, ð2, ð3) neutrosophic normal interval valued weighted averaging, sine trigonometric (ð1, ð2, ð3) neutrosophic normal interval valued weighted geometric, sine trigonometric generalized (ð1, ð2, ð3) neutrosophic normal interval valued weighted averaging and sine trigonometric generalized (ð1, ð2, ð3) neutrosophic normal interval valued weighted geometric. [ABSTRACT FROM AUTHOR]

Published
2024
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17. Effects of sampling methodology on phenology indices: insights from sites across India and modelling

Author

Tiruvaimozhi, Yadugiri, primary, Teegalapalli, Karthik, additional, Reddy, Abinand, additional, Murali, Akhil, additional, Datta, Aparajita, additional, Krishnan, Aparna, additional, Ratnam, Jayashree, additional, Sankaran, Mahesh, additional, Ongole, Shasank, additional, Kasinathan, Srinivasan, additional, Raman, T. R. Shankar, additional, and Ramaswami, Geetha, additional

Published
2023
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21. Robots selection for sine trigonometric (℘1, ℘2, ℘3) neutrosophic sets using different aggregation operators.

Author

Palanikumar, Murugan, Manavalan, Lejo J., Raman, T. T., and Iampan, Aiyared

Subjects
ROBOTS, TRIGONOMETRIC functions, NEUTROSOPHIC logic, SET theory, AGGREGATION operators, MULTIPLE criteria decision making
Abstract

This article discusses a new approach to multiple attribute decision-making (MADM) based on sine trigonometric(ST) ((℘1, (℘2, (℘3) neutrosophic sets (NS). We discuss the concept of ST ((℘1, (℘2, (℘3) neutrosophic weighted averaging (NWA), ST ((℘1, (℘2, (℘3) neutrosophic weighted geometric (NWG), ST ((℘1, (℘2, (℘3) generalized neutrosophic weighted averaging (GNWA) and ST ((℘1, (℘2, (℘3) generalized neutrosophic weighted geometric (GNWG). We presented during our discussion showed an algorithm that used these operators. Extensive Hamming distances are illustrated numerically. Also included in this communication are discussions of idempotency, boundness, commutativity, and monotonicity for ST ((℘1, (℘2, (℘3) NS. By using them, you can find the best option faster, easier and more conveniently. As a result, ST ((℘1, (℘2, (℘3) and more precise conclusions are more closely related. A comparison is made between some current models and those proposed to demonstrate the dependability and utility of the current models. Furthermore, fascinating findings were revealed in the study. [ABSTRACT FROM AUTHOR]

Published
2024
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22. Computer purchasing using new type neutrosophic sets and its extension based on aggregation operators.

Author

Falahah, Ibraheem Abu, Raman, T. T., Al-Husban, Abdallah, Alahmade, Ayman, Azhaguvelavan, S., and Palanikumar, Murugan

Subjects
COMPUTER purchasing, NEUTROSOPHIC logic, SET theory, AGGREGATION operators, MULTIPLE criteria decision making
Abstract

This article discusses a new approach to multiple attribute decision-making (MADM) based on (ℓ1, ℓ2, ℓ3) neutrosophic sets (NS). This is an extension of the NS. Neuosophic weighted averaging (NWA), neutrosophic weighted geometrics (NWG), generalized neutrosophic weighted averaging (GNWA), and generalized neutrosophic weighted geometrics (GNWG) are the topics of this article. The flowchart we presented during our discussion showed an algorithm that used these operators. Numerical examples are provided for the extended Euclidean and Hamming distance measures. As part of this communication, we will also elaborate on the properties of neutrosophic sets, such as their idempotency, their boundness, their commutativity, and their monotonicity. They make it quicker, easier, and more convenient to find the best option. Thus, there is a stronger connection between (ℓ1, ℓ2, ℓ3) and more precise conclusions. Some of the current models are compared with those that have been proposed in order to demonstrate their dependability and utility. The study also revealed fascinating and intriguing findings. [ABSTRACT FROM AUTHOR]

Published
2024
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23. Type-II q-rung neutrosophic interval valued soft sets.

Author

Palanikumar, M., Manikandan, G., Raman, T. T., Arulmozhi, K., and Iampan, Aiyared

Subjects
NEUTROSOPHIC logic, SOFT sets, FUZZY sets, SIMILARITY (Geometry), MULTIPLE criteria decision making
Abstract

In this study, the theory of the Type-II q-rung neutrosophic interval valued soft set (Type-II q-rung NIVS) is introduced. We also define a few operations based on the Type-II q-rung NIVS set. Type-II q-rung NIVS sets are formed by extending neutrosophic interval valued soft (NIVS) sets and q-rung fuzzy soft sets. Type-II q-rung NIVS sets and their similarity measures. An illustrative example illustrates how they can be used to successfully address uncertainty-related problems. [ABSTRACT FROM AUTHOR]

Published
2024
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26. Tropical rainforest bird community structure in relation to altitude, tree species composition, and null models in the Western Ghats, India

Author

Raman, T. R. Shankar, Joshi, N. V., and Sukumar, R.

Subjects
Quantitative Biology - Populations and Evolution
Abstract

Studies of species distributions on elevational gradients are essential to understand principles of community organisation as well as to conserve species in montane regions. This study examined the patterns of species richness, abundance, composition, range sizes, and distribution of rainforest birds at 14 sites along an elevational gradient (500-1400 m) in the Kalakad-Mundanthurai Tiger Reserve (KMTR) of the Western Ghats, India. In contrast to theoretical expectation, resident bird species richness did not change significantly with elevation although the species composition changed substantially (<10% similarity) between the lowest and highest elevation sites. Constancy in species richness was possibly due to relative constancy in productivity and lack of elevational trends in vegetation structure. Elevational range size of birds, expected to increase with elevation according to Rapoport's rule, was found to show a contrasting inverse U-shaped pattern because species with narrow elevational distributions, including endemics, occurred at both ends of the gradient (below 800 m and above 1,200 m). Bird species composition also did not vary randomly along the gradient as assessed using a hierarchy of null models of community assembly, from completely unconstrained models to ones with species richness and range-size distribution restrictions. Instead, bird community composition was significantly correlated with elevation and tree species composition of sites, indicating the influence of deterministic factors on bird community structure. Conservation of low- and high-elevation areas and maintenance of tree species composition against habitat alteration are important for bird conservation in the southern Western Ghats rainforests., Comment: 36 pages, 5 figures, two tables (including one in the appendix) Submitted to the Journal of the Bombay Natural History Society (JBNHS)

Published
2005

39. Global Practice Patterns in the Evaluation of Non-Obstructive Azoospermia: Results of a World-Wide Survey and Expert Recommendations

Author

Rupin Shah, Amarnath Rambhatla, Widi Atmoko, Marlon Martinez, Imad Ziouziou, Priyank Kothari, Nicholas Tadros, Nguyen Ho Vinh Phuoc, Parviz Kavoussi, Ahmed Harraz, Gianmaria Salvio, Murat Gul, Taha Hamoda, Tuncay Toprak, Ponco Birowo, Edmund Ko, Mohamed Arafa, Ramy Abou Ghayda, Vilvapathy Senguttuvan Karthikeyan, Ramadan Saleh, Giorgio Ivan Russo, Germar-Michael Pinggera, Eric Chung, Missy Savira, Giovanni M. Colpi, Wael Zohdy, Edoardo Pescatori, Hyun Jun Park, Shinichiro Fukuhara, Akira Tsujimura, Cesar Rojas-Cruz, Angelo Marino, Siu King Mak, Edouard Amar, Wael Ibrahim, Puneet Sindhwani, Naif Alhathal, Gian Maria Busetto, Manaf Al Hashimi, Ahmed El-Sakka, Asci Ramazan, Fotios Dimitriadis, Massimiliano Timpano, Davor Jezek, Baris Altay, Daniel Suslik Zylbersztejn, Michael YC Wong, Du Geon Moon, Christine Wyns, Safar Gamidov, Hamed Akhavizadegan, Alessandro Franceschelli, Kaan Aydos, Vinh Nguyen Quang, Shedeed Ashour, Adel Al Dayel, Mohamed S. Al-Marhoon, Sava Micic, Saleh Binsaleh, Alayman Hussein, Haitham Elbardisi, Taymour Mostafa, Emad Taha, Jonathan Ramsay, Athanasios Zachariou, Islam Fathy Soliman Abdelrahman, Osvaldo Rajmil, Arif Kalkanli, Juan Manuel Corral Molina, Kadir Bocu, Gede Wirya Kusuma Duarsa, Gokhan Ceker, Ege Can Serefoglu, Fahmi Bahar, Nazim Gherabi, Shinnosuke Kuroda, Abderrazak Bouzouita, Ahmet Gudeloglu, Erman Ceyhan, Mohamed Saeed Mohamed Hasan, Muhammad Ujudud Musa, Ahmad Motawi, Cho Chak-Lam, Hisanori Taniguchi, Christopher Chee Kong Ho, Jesus Fernando Solorzano Vazquez, Shingai Mutambirwa, Nur Dokuzeylul Gungor, Marion Bendayan, Carlo Giulioni, Aykut Baser, Marco Falcone, Luca Boeri, Gideon Blecher, Alireza Kheradmand, Tamilselvi Sethupathy, Ricky Adriansjah, Nima Narimani, Charalampos Konstantinidis, Tuan Thanh Nguyen, Andrian Japari, Parisa Dolati, Keerti Singh, Cevahir Ozer, Selcuk Sarikaya, Nadia Sheibak, Ndagijimana Jean Bosco, Mehmet Serkan Özkent, Sang Thanh Le, Ioannis Sokolakis, Darren Katz, Ryan Smith, Manh Nguyen Truong, Tan V. Le, Zhongwei Huang, Muslim Dogan Deger, Umut Arslan, Gokhan Calik, Giorgio Franco, Ayman Rashed, Oguzhan Kahraman, Sotiris Andreadakis, Rosadi Putra, Giancarlo Balercia, Kareim Khalafalla, Rossella Cannarella, Anh Đặng Tuấn, Amr El Meliegy, Birute Zilaitiene, Marlene Lizbeth Zamora Ramirez, Filippo Giacone, Aldo E. Calogero, Konstantinos Makarounis, Sunil Jindal, Bac Nguyen Hoai, Ravi Banthia, Marcelo Rodriguez Peña, Dharani Moorthy, Aram Adamyan, Deniz Kulaksiz, Hussein Kandil, Nikolaos Sofikitis, Ciro Salzano, Andreas Jungwirth, Surendra Reddy Banka, Tiago Cesar Mierzwa, Tahsin Turunç, Divyanu Jain, Armen Avoyan, Pietro Salacone, Ateş Kadıoğlu, Chirag Gupta, Haocheng Lin, Iman Shamohammadi, Nasser Mogharabian, Trenton Barrett, Yavuz Onur Danacıoğlu, Andrea Crafa, Salima Daoud, Vineet Malhotra, Abdulmalik Almardawi, Osama Mohamed Selim, Mohamad Moussa, Saeid Haghdani, Mesut Berkan Duran, Yannic Kunz, Mirko Preto, Elena Eugeni, Thang Nguyen, Ahmed Rashad Elshahid, Seso Sulijaya Suyono, Dyandra Parikesit, Essam Nada, Eduardo Gutiérrez Orozco, Florence Boitrelle, Nguyen Thi Minh Trang, Mounir Jamali, Raju Nair, Mikhail Ruzaev, Franco Gadda, Charalampos Thomas, Raphael Henrique Ferreira, Umit Gul, Serena Maruccia, Ajay Kanbur, Ella Kinzikeeva, Saad Abumelha, Nguyen Quang, Raghavender Kosgi, Fatih Gokalp, Mohammad Ayodhia Soebadi, Gustavo Marquesine Paul, Hesamoddin Sajadi, Deepak Gupte, Rafael F. Ambar, Emrullah Sogutdelen, Karun Singla, Ari Basurkano, Shannon Hee Kyung Kim, Mohammad Ali Sadighi Gilani, Koichi Nagao, Sakti Ronggowardhana Brodjonegoro, Andri Rezano, Mohamed Elkhouly, Rossella Mazzilli, Hasan M. A. Farsi, Hung Nguyen Ba, Hamed Alali, Dimitrios Kafetzis, Tran Quang Tien Long, Sami Alsaid, Hoang Bao Ngoc Cuong, Knigavko Oleksandr, Akhmad Mustafa, Herik Acosta, Hrishikesh Pai, Bahadır Şahin, Eko Arianto, Colin Teo, Sanjay Prakash Jayaprakash, Rinaldo Indra Rachman, Mustafa Gurkan Yenice, Omar Sefrioui, Smit Paghdar, Shivam Priyadarshi, Marko Tanic, Noor Kareem Alfatlawy, Fikri Rizaldi, Ranjit B. Vishwakarma, George Kanakis, Dinesh Thomas Cherian, Joe Lee, Raisa Galstyan, Hakan Keskin, Jana Wurzacher, Doddy Hami Seno, Bambang S. Noegroho, Ria Margiana, Qaisar Javed, Fabrizio Castiglioni, Raman Tanwar, Ana Puigvert, Coşkun Kaya, Medianto Purnomo, Chadi Yazbeck, Azwar Amir, Edson Borges, Marina Bellavia, Isaac Ardianson Deswanto, Vinod K V, Giovanni Liguori, Dang Hoang Minh, Kashif Siddiqi, Fulvio Colombo, Armand Zini, Niket Patel, Selahittin Çayan, Ula Al-Kawaz, Maged Ragab, Guadalupe Hernández Hebrard, Ivan Hoffmann, Ozan Efesoy, Barış Saylam, and Ashok Agarwal

Subjects
azoospermia, diagnosis, guideline, infertility, male, surveys and questionnaires, Medicine, Diseases of the genitourinary system. Urology, RC870-923
Abstract

Purpose: Non-obstructive azoospermia (NOA) represents the persistent absence of sperm in ejaculate without obstruction, stemming from diverse disease processes. This survey explores global practices in NOA diagnosis, comparing them with guidelines and offering expert recommendations. Materials and Methods:Materials and Methods: A 56-item questionnaire survey on NOA diagnosis and management was conducted globally from July to September 2022. This paper focuses on part 1, evaluating NOA diagnosis. Data from 367 participants across 49 coun-tries were analyzed descriptively, with a Delphi process used for expert recommendations. Results:Results: Of 336 eligible responses, most participants were experienced attending physicians (70.93%). To diagnose azoosper-mia definitively, 81.7% requested two semen samples. Commonly ordered hormone tests included serum follicle-stimulating hormone (FSH) (97.0%), total testosterone (92.9%), and luteinizing hormone (86.9%). Genetic testing was requested by 66.6%, with karyotype analysis (86.2%) and Y chromosome microdeletions (88.3%) prevalent. Diagnostic testicular biopsy, distinguishing obstructive azoospermia (OA) from NOA, was not performed by 45.1%, while 34.6% did it selectively. Differ-entiation relied on physical examination (76.1%), serum hormone profiles (69.6%), and semen tests (68.1%). Expectations of finding sperm surgically were higher in men with normal FSH, larger testes, and a history of sperm in ejaculate. Conclusions:Conclusions: This expert survey, encompassing 367 participants from 49 countries, unveils congruence with recommended guidelines in NOA diagnosis. However, noteworthy disparities in practices suggest a need for evidence-based, international consensus guidelines to standardize NOA evaluation, addressing existing gaps in professional recommendations.

Published
2024
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