scispace - formally typeset
Search or ask a question
Institution

Shahjalal University of Science and Technology

EducationSylhet, Bangladesh
About: Shahjalal University of Science and Technology is a education organization based out in Sylhet, Bangladesh. It is known for research contribution in the topics: Population & Bengali. The organization has 2167 authors who have published 2585 publications receiving 26490 citations. The organization is also known as: SUST & Shahjalal University of Science & Technology.


Papers
More filters
Journal ArticleDOI
TL;DR: The adsorbent capacity of methylene blue onto tea waste was found to be as high as 85.16mg/g, which is several folds higher than the adsorption capacity of a number of recently studied in the literature potential adsorbents.

471 citations

Journal ArticleDOI
TL;DR: In this article, minimum quantity lubrication (MQL) was provided with a spray of air and vegetable oil to reduce the cutting zone temperature enabling favorable chip formation and chip-tool interaction.

402 citations

Journal ArticleDOI
Helge Bruelheide1, Jürgen Dengler2, Jürgen Dengler3, Oliver Purschke1, Jonathan Lenoir4, Borja Jiménez-Alfaro1, Borja Jiménez-Alfaro5, Stephan M. Hennekens6, Zoltán Botta-Dukát, Milan Chytrý7, Richard Field8, Florian Jansen9, Jens Kattge10, Valério D. Pillar11, Franziska Schrodt10, Franziska Schrodt8, Miguel D. Mahecha10, Robert K. Peet12, Brody Sandel13, Peter M. van Bodegom14, Jan Altman15, Esteban Álvarez-Dávila, Mohammed Abu Sayed Arfin Khan16, Mohammed Abu Sayed Arfin Khan2, Fabio Attorre17, Isabelle Aubin18, Christopher Baraloto19, Jorcely Barroso20, Marijn Bauters21, Erwin Bergmeier22, Idoia Biurrun23, Anne D. Bjorkman24, Benjamin Blonder25, Benjamin Blonder26, Andraž Čarni27, Andraž Čarni28, Luis Cayuela29, Tomáš Černý30, J. Hans C. Cornelissen31, Dylan Craven, Matteo Dainese32, Géraldine Derroire, Michele De Sanctis17, Sandra Díaz33, Jiří Doležal15, William Farfan-Rios34, William Farfan-Rios35, Ted R. Feldpausch36, Nicole J. Fenton37, Eric Garnier38, Greg R. Guerin39, Alvaro G. Gutiérrez40, Sylvia Haider1, Tarek Hattab41, Greg H. R. Henry42, Bruno Hérault38, Pedro Higuchi43, Norbert Hölzel44, Jürgen Homeier22, Anke Jentsch2, Norbert Jürgens45, Zygmunt Kącki46, Dirk Nikolaus Karger47, Dirk Nikolaus Karger48, Michael Kessler48, Michael Kleyer49, Ilona Knollová7, Andrey Yu. Korolyuk, Ingolf Kühn1, Daniel C. Laughlin50, Daniel C. Laughlin51, Frederic Lens14, Jacqueline Loos22, Frédérique Louault52, Mariyana Lyubenova53, Yadvinder Malhi26, Corrado Marcenò23, Maurizio Mencuccini, Jonas V. Müller54, Jérôme Munzinger38, Isla H. Myers-Smith55, David A. Neill, Ülo Niinemets, Kate H. Orwin56, Wim A. Ozinga57, Wim A. Ozinga6, Josep Peñuelas58, Aaron Pérez-Haase58, Aaron Pérez-Haase59, Petr Petřík15, Oliver L. Phillips60, Meelis Pärtel61, Peter B. Reich62, Peter B. Reich63, Christine Römermann64, Arthur Vinicius Rodrigues, Francesco Maria Sabatini1, Jordi Sardans58, Marco Schmidt, Gunnar Seidler1, Javier Silva Espejo65, Marcos Silveira20, Anita K. Smyth39, Maria Sporbert1, Jens-Christian Svenning24, Zhiyao Tang66, Raquel Thomas67, Ioannis Tsiripidis68, Kiril Vassilev69, Cyrille Violle38, Risto Virtanen70, Evan Weiher71, Erik Welk1, Karsten Wesche72, Karsten Wesche73, Marten Winter, Christian Wirth10, Christian Wirth74, Ute Jandt1 
Martin Luther University of Halle-Wittenberg1, University of Bayreuth2, Zürcher Fachhochschule3, University of Picardie Jules Verne4, University of Oviedo5, Wageningen University and Research Centre6, Masaryk University7, University of Nottingham8, University of Rostock9, Max Planck Society10, Universidade Federal do Rio Grande do Sul11, University of North Carolina at Chapel Hill12, Santa Clara University13, Leiden University14, Academy of Sciences of the Czech Republic15, Shahjalal University of Science and Technology16, Sapienza University of Rome17, Natural Resources Canada18, Florida International University19, Universidade Federal do Acre20, Ghent University21, University of Göttingen22, University of the Basque Country23, Aarhus University24, Rocky Mountain Biological Laboratory25, Environmental Change Institute26, University of Nova Gorica27, Slovenian Academy of Sciences and Arts28, King Juan Carlos University29, Czech University of Life Sciences Prague30, VU University Amsterdam31, University of Würzburg32, National University of Cordoba33, National University of Saint Anthony the Abbot in Cuzco34, Wake Forest University35, University of Exeter36, Université du Québec en Abitibi-Témiscamingue37, University of Montpellier38, University of Adelaide39, University of Chile40, IFREMER41, University of British Columbia42, Universidade do Estado de Santa Catarina43, University of Münster44, University of Hamburg45, University of Wrocław46, Swiss Federal Institute for Forest, Snow and Landscape Research47, University of Zurich48, University of Oldenburg49, University of Wyoming50, University of Waikato51, Institut national de la recherche agronomique52, Sofia University53, Royal Botanic Gardens54, University of Edinburgh55, Landcare Research56, Radboud University Nijmegen57, Spanish National Research Council58, University of Barcelona59, University of Leeds60, University of Tartu61, University of Minnesota62, University of Sydney63, University of Jena64, University of La Serena65, Peking University66, Iwokrama International Centre for Rain Forest Conservation and Development67, Aristotle University of Thessaloniki68, Bulgarian Academy of Sciences69, University of Oulu70, University of Wisconsin–Eau Claire71, American Museum of Natural History72, International Institute of Minnesota73, Leipzig University74
TL;DR: It is shown that global trait composition is captured by two main dimensions that are only weakly related to macro-environmental drivers, which reflect the trade-offs at the species level but are weakly associated with climate and soil conditions at the global scale.
Abstract: Plant functional traits directly affect ecosystem functions. At the species level, trait combinations depend on trade-offs representing different ecological strategies, but at the community level trait combinations are expected to be decoupled from these trade-offs because different strategies can facilitate co-existence within communities. A key question is to what extent community-level trait composition is globally filtered and how well it is related to global versus local environmental drivers. Here, we perform a global, plot-level analysis of trait-environment relationships, using a database with more than 1.1 million vegetation plots and 26,632 plant species with trait information. Although we found a strong filtering of 17 functional traits, similar climate and soil conditions support communities differing greatly in mean trait values. The two main community trait axes that capture half of the global trait variation (plant stature and resource acquisitiveness) reflect the trade-offs at the species level but are weakly associated with climate and soil conditions at the global scale. Similarly, within-plot trait variation does not vary systematically with macro-environment. Our results indicate that, at fine spatial grain, macro-environmental drivers are much less important for functional trait composition than has been assumed from floristic analyses restricted to co-occurrence in large grid cells. Instead, trait combinations seem to be predominantly filtered by local-scale factors such as disturbance, fine-scale soil conditions, niche partitioning and biotic interactions.

349 citations

Journal ArticleDOI
TL;DR: It is shown that most tree species are extremely rare, meaning that they may be under serious risk of extinction at current deforestation rates, and a methodological framework for estimating species richness in trees is provided that may help refine species richness estimates of tree-dependent taxa.
Abstract: The high species richness of tropical forests has long been recognized, yet there remains substantial uncertainty regarding the actual number of tropical tree species. Using a pantropical tree inventory database from closed canopy forests, consisting of 657,630 trees belonging to 11,371 species, we use a fitted value of Fisher's alpha and an approximate pantropical stem total to estimate the minimum number of tropical forest tree species to fall between similar to 40,000 and similar to 53,000, i.e., at the high end of previous estimates. Contrary to common assumption, the Indo-Pacific region was found to be as species-rich as the Neotropics, with both regions having a minimum of similar to 19,000-25,000 tree species. Continental Africa is relatively depauperate with a minimum of similar to 4,500-6,000 tree species. Very few species are shared among the African, American, and the Indo-Pacific regions. We provide a methodological framework for estimating species richness in trees that may help refine species richness estimates of tree-dependent taxa.

338 citations

Journal ArticleDOI
TL;DR: There not enough evidence on the association between vitamin D levels and COVID-19 severity and mortality is found, and people who are at higher risk of vitamin D deficiency during this global pandemic should consider taking vitamin D supplements to maintain the circulating 25(OH)D in the optimal levels.

329 citations


Authors

Showing all 2190 results

NameH-indexPapersCitations
Wan Mohd Ashri Wan Daud6829018767
Abul Kalam Azad6556718923
Wei Xiong5836410835
Mahbubur Rahman5368812057
Saiful Islam4747611840
Poul Norby451996498
Kerstin J. Plessen321095999
Maksudur R. Khan281502558
Jean-Claude Grivel272012686
Nazmul Islam26752519
Nusrat Jahan261732127
Nurshad Ali25541439
Mohammad A. Hasnat24771453
Md. Akhtarul Islam23662016
Mohammad A. Hoque23462517
Network Information
Related Institutions (5)
Shandong University of Science and Technology
16.3K papers, 187.1K citations

78% related

China University of Mining and Technology
34.7K papers, 413.4K citations

77% related

Nanjing Normal University
20.2K papers, 325K citations

77% related

Shandong Normal University
12.5K papers, 174.5K citations

77% related

Beijing University of Technology
31.9K papers, 352.1K citations

76% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202311
202232
2021385
2020414
2019264
2018213