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4th International Conference on Energy, Environment, Epidemiology and Information System, ICENIS 2019

作者： Ramadiani Kurniawan, Reynaldi Kridalaksana, Awang Harsa Jundillah, Muhammad Labib Faculty of Computer Science and Information Technology Mulawarman University Samarinda Indonesia Magister Program of Information System School of Post Graduate Studies Diponegoro University Semarang Indonesia

Gurame Soang Latin name Osphronomus Labirynthici gouramy including fish, that as the fish have gills and breathing apparatus in the form of additional gills (Labyrinth). One important factor in fish farming Soang Gurame is holding elections. Superior brood has characteristics identical, to distinguish it needs to experience since it is quite difficult. Some of the assessment factors in selecting a superior brood that could be considered in the cultivation of the fish farmers Gurame Soang as ideal weight, physical disability, movement of fish, the shape of the head, and the body color. All of these factors combined to get an assessment that could help the decision making process fish Gurame Soang superior sires. This study used two methods that have selected the calculation accuracy of the decision-making process. The method used is the Weighted Product and Simple Additive weighting. The results of the research that has been done, it can be concluded the total number of alternative Gurame Soang superior sires data as many as 10 fish, and obtained the results of testing the level of accuracy by using the results of data from a breeder Gurame Soang superior sires, Method of Weighted Product got an accuracy of 80% and methods Simple Additive weighting got an accuracy of 60%. © The Authors, published by EDP sciences, 2019.

关键词： Fish

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A-STEP: The AstroPix Sounding Rocket technology Demonstration Payload

arXiv

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arXiv 2024年

作者： Violette, Daniel P. Steinhebel, Amanda Roy, Abhradeep Boggs, Ryan Caputo, Regina Durachka, David Fukazawa, Yasushi Hashizume, Masaki Hesh, Scott Jadhav, Manoj Kierans, Carolyn Kumar, Kavic Kushima, Shin Leys, Richard Metcalfe, Jessica Metzler, Zachary Nakano, Norito Peric, Ivan Perkins, Jeremy Seo, Lindsey Taylor Shin, K.-W. Striebig, Nicolas Suda, Yusuke Tajima, Hiroyasu NASA Goddard Space Flight Center GreenbeltMD United States United States Physics Program Graduate School of Advanced Science and Engineering Hiroshima University Hiroshima Japan NASA Wallops Flight Facility Wallops IslandVA United States Argonne National Laboratory LemontIL United States Department of Physics University of Maryland College ParkMD United States Institute for Space–Earth Environmental Research Nagoya University Aichi Japan ASIC and Detector Laboratory Karlsruhe Institute of Technology Karlsruhe Germany Institute for Particle Physics University of California Santa CruzCA United States

A next-generation medium-energy (100 keV to 100 MeV) gamma-ray observatory will greatly enhance the identification and characterization of multimessenger sources in the coming decade. Coupling gamma-ray spectroscopy, imaging, and polarization to neutrino and gravitational wave detections will develop our understanding of various astrophysical phenomena including compact object mergers, supernovae remnants, active galactic nuclei and gamma-ray bursts. An observatory operating in the MeV energy regime requires technologies that are capable of measuring Compton scattered photons and photons interacting via pair production. AstroPix is a monolithic high voltage CMOS active pixel sensor which enables future gamma-ray telescopes in this energy range. AstroPix’s design is iterating towards low-power (∼1.5 mW/cm2), high spatial (500 µm pixel pitch) and spectral (2 building block of future large area AstroPix instruments, such as ComPair-2 and AMEGO-X. This payload will be the first demonstration of AstroPix detectors operated in a space environment and will demonstrate the technology’s readiness for future astrophysical and nuclear physics applications. In this work, we overview the design and state of development of the A-STEP payload. Copyright © 2024, The Authors. All rights reserved.

关键词： Photons

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An efficient multi-objective evolutionary approach for solving the operation of multi-reservoir system scheduling in hydro-power plants

arXiv

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arXiv 2021年

作者： Marcelino, Carolina Gil Leite, G.M.C. Delgado, C.A.D.M. De Oliveira, L.B. Wanner, E.F. Jiménez-Fernández, S. Salcedo-Sanz, S. Department of Signal Processing and Communications Universidad de Alcalá Spain Institute of Computing Federal University of Rio de Janeiro Brazil Post-Graduate Program in Systems Engineering and Computer Science Federal University of Rio de Janeiro Brazil Computing Department Federal Center of Technology Education of Minas Gerais Brazil

This paper tackles the short-term hydro-power unit commitment problem in a multi-reservoir system - a cascade-based operation scenario. For this, we propose a new mathematical modelling in which the goal is to maximize the total energy production of the hydro-power plant in a sub-daily operation, and, simultaneously, to maximize the total water content (volume) of reservoirs. For solving the problem, we discuss the Multi-objective Evolutionary Swarm Hybridization (MESH) algorithm, a recently proposed multiobjective swarm intelligence-based optimization method which has obtained very competitive results when compared to existing evolutionary algorithms in specific applications. The MESH approach has been applied to find the optimal water discharge and the power produced at the maximum reservoir volume for all possible combinations of turbines in a hydro-power plant. The performance of MESH has been compared with that of well-known evolutionary approaches such as NSGA-II, NSGA-III, SPEA2, and MOEA/D in a realistic problem considering data from a hydro-power energy system with two cascaded hydro-power plants in Brazil. Results indicate that MESH showed a superior performance than alternative multi-objective approaches in terms of efficiency and accuracy, providing a profit of $412,500 per month in a projection analysis carried out. © 2021, CC BY-NC-ND.

关键词： Multiobjective optimization

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A cross-sectional study on gut microbiota and inflammation in patients with chronic kidney disease

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The American journal of the medical sciences 2025年

作者： Bruna R Paiva Júnia Schultz Fluvio Modolon Jessyca S de Brito Julie A Kemp Marcia Ribeiro Marcelo Ribeiro-Alves Lia S Nakao Drielly Vargas Beatriz G Baptista Larissa Fonseca Livia Alvarenga Intikhab Alam Roberto Incitti Alexandre Soares Rosado Ludmila F M F Cardozo Denise Mafra Graduate Program in Cardiovascular Sciences Fluminense Federal University (UFF) Niterói RJ Brazil. Bioscience Program Biological and Environmental Science and Engineering (BESE) Division King Abdullah University of Science and Technology (KAUST) Thuwal Makkah 23955 Saudi Arabia. Oceanographic Institute University of São Paulo São Paulo SP Brazil. Graduate Program in Biological Sciences - Physiology Federal University of Rio de Janeiro (UFRJ) Rio de Janeiro RJ Brazil. Graduate Program in Nutrition Sciences Fluminense Federal University (UFF) Niterói RJ Brazil. HIV/AIDS Clinical Research Center National Institute of Infectology Evandro Chagas (INI/Fiocruz) Rio de Janeiro RJ Brazil. Department of Basic Pathology Federal University of Paraná Curitiba PR Brazil. Graduate Program in Medical Sciences Fluminense Federal University (UFF) Niterói RJ Brazil. Graduate Program in Biological Sciences - Physiology Federal University of Rio de Janeiro (UFRJ) Rio de Janeiro RJ Brazil Computational Bioscience Research Center Biological and Environmental Science and Engineering (BESE) Division King Abdullah University of Science and Technology (KAUST) Thuwal Makkah 23955 Saudi Arabia. Graduate Program in Cardiovascular Sciences Fluminense Federal University (UFF) Niterói RJ Brazil Graduate Program in Nutrition Sciences Fluminense Federal University (UFF) Niterói RJ Brazil Graduate Program in Medical Sciences Fluminense Federal University (UFF) Niterói RJ Brazil. Electronic address: dmafra30@***.

BACKGROUND:This study investigated the inflammatory and gut microbiota profile in chronic kidney disease (CKD) patients undergoing hemodialysis (HD) and peritoneal dialysis (PD). METHODS:A total of 249 patients undergoing HD and 61 patients on PD participated in the study. The mRNA expressions of nuclear factor erythroid 2-related factor-2 (NRF2), nuclear factor-κappa B (NF-κB), mitochondrial transcription factor A (TFAM), peroxisome proliferator-activated receptor-gamma coactivator 1-alpha (PGC-1α) were evaluated in peripheral blood mononuclear cells (PBMCs) by quantitative real-time PCR. Malondialdehyde (MDA), interleukin 6 (IL-6), and routine biochemical parameters were also analyzed. The fecal DNA extraction was performed, and the V4 regions of the bacterial 16S ribosomal RNA gene were sequenced. Uremic toxins such as p-cresyl sulfate (p-CS), indoxyl sulfate (IS), and indole-3-acetic acid (IAA) plasma levels were determined by HPLC. RESULTS:MDA, IS, and p-CS levels were lower in PD than in HD patients. The mRNA expression of the transcription factors was not different between groups. Gut microbial α-diversity indices showed no significant difference between groups, but the β-diversity was different in PD patients. Members of the genera Meditarraneibacter, Roseburia, Agathobacter, Anaerobutyricum, Collinsella, Streptococcus, Clostridium, and Bacteroides, as well as the families Lachnospiraceae and Enterobacteriaceae, appear to be positively correlated with most dietary factors, particularly lipid and phosphorus intake. CONCLUSION:Our findings indicate that in patients with CKD on HD, there is increased plasma retention of uremic toxins and reduced gut microbial diversity compared to PD patients.

关键词： chronic kidney disease gut microbiota inflammation mitochondrial dysfunction oxidative stress

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Characterization of halotolerant phosphate-solubilizing rhizospheric bacteria from mangrove (Avicennia sp.) with biotechnological potential in agriculture and pollution mitigation

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Biocatalysis and Agricultural Biotechnology 2024年 55卷

作者： Dey, Gobinda Maity, Jyoti Prakash Banerjee, Pritam Sharma, Raju Kumar Etesami, Hassan Bastia, Tapan Kumar Rath, Prasanta Sukul, Uttara Huang, Hsien-Bin Huang, Kuo-Wei Chen, Chien-Yen Department of Agricultural Chemistry National Taiwan University Taipei 106319 Taiwan Department of Biomedical Sciences Graduate Institute of Molecular Biology National Chung Cheng University 168 University Road Chiayi County Ming-Shung 62102 Taiwan Doctoral Program in Science Technology Environment and Mathematics Department of Earth and Environmental Sciences National Chung Cheng University 168 University Rd. Chiayi County Min-Hsiung 62102 Taiwan Environmental Science Laboratory Department of Chemistry Biological Laboratory School of Applied Sciences KIIT Deemed to Be University Odisha Bhubaneswar 751024 India Department of Environmental Science Policy and Management University of California Berkeley CA United States Department of Chemistry and Biochemistry National Chung Cheng University 168 University Road Chiayi County Min-Hsiung 62102 Taiwan Department of Soil Science University of Tehran Tehran 31587-77871 Iran Environmental Science Laboratory Department of Chemistry School of Applied Sciences KIIT Deemed to Be University Odisha Bhubaneswar 751024 India Department of Otolaryngology Ditmanson Medical Foundation Chia-Yi Christian Hospital Taiwan Center for Nano Bio-Detection Center for Innovative Research on Aging Society AIM-HI National Chung Cheng University Chiayi 62102 Taiwan

Mangroves represent intricate and ever-changing ecosystems, exhibiting fluctuations in water level, salinity, and nutrient (such as NPK) availability as well as a wide array of unique bacterial communities. Microbial interactions in different components (e.g., tree roots) of the mangrove ecosystem are crucial to understand the ecosystem functioning for potential application in pollution mitigation and agricultural production. This study aimed to isolate phosphate-solubilizing bacteria (PSB) from the rhizosphere sediment of mangrove (Avicennia sp.) in terms of heavy metals (HMs) and salinity tolerance as well as plant growth promoting (PGP) traits, where the effective PSB were used on Brassica chinensis for their seed priming and growth under salinity stress. The effective two PSB isolates were identified by 16S rRNA, where JKD01 and JKD02 were closely related (99%) to Enterobacter cloacae (OQ271412) and Kocuria rhizophila (OQ271413), respectively. Both the strains exhibited phosphate solubilization, IAA, NH_3, and EPS production ability as well as HMs resistant ability where, E. cloacae (OQ271412) and K. rhizophila (OQ271413), are effectively remove the Cu from the water with 33.23% and 27.54%, respectively. The FTIR results showed functional group shifts (carboxyl, phosphate, and amino) in Cu-treated bacterial biomass and intracellular Cu presence, indicating the involvement of Cu in the bio-sorption and intracellular bioaccumulation process, respectively. The findings suggested PSB tolerance to salinity and HMs are present in mangroves, making them a valuable source for isolating effective bacteria to reduce stress in plants, lower HMs accumulation in mangroves, and aid in the bioremediation of HMs-contaminated environments. © 2023

关键词： Bio-priming Copper remediation Heavy metal tolerant Mangrove Phosphate-solubilizing bacteria Salt tolerant

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Corrigendum to “Development of machine learning methods to predict the compressive strength of fiber-reinforced self-compacting concrete and sensitivity analysis” [Constr. Build. Mater. 367 (2023) 130339]

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Construction and Building Materials 2023年 401卷

作者： Hai-Van Thi Mai May Huu Nguyen Hai-Bang Ly University of Transport Technology Hanoi 100000 Viet Nam Civil and Environmental Engineering Program Graduate School of Advanced Science and Engineering Hiroshima University 1-4-1 Kagamiyama Higashi-Hiroshima Hiroshima 739-8527 Japan

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Holocene paleolimnological changes in rundvågshetta lakes in the Soya Coast region and their paleoenvironmental significance with glacial isostatic adjustment in East Antarctica

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Quaternary science Reviews 2024年 338卷

作者： Matsumoto, Genki I. Honda, Eisuke Ito, Keisuke Kang, Ijin Seto, Koji Tani, Yukinori Watanabe, Takahiro Kashima, Kaoru Ohtani, Shuji Yamanaka, Toshiro Nakamura, Toshio Takano, Yoshinori Imura, Satoshi Department of Environmental Information Studies School of Social Information Studies Otsuma Women's University 2-7-1 Karakida Tokyo Tama-shi206-8540 Japan Department of Earth and Planetary Sciences Graduate School of Science 744 Motooka Nishi-ku Fukuoka819-0395 Japan Research Center for Coastal Lagoon Environments Shimane University 1060 Nishikawatsu-cho Matsue690-8504 Japan Department of Environmental and Life Sciences School of Food and Nutritional Sciences University of Shizuoka 52-1 Yada Shizuoka422-8526 Japan Tono Geoscience Center Japan Atomic Energy Agency 959-31 Jorinji Izumi Toki509-5102 Japan Faculty of Education Shimane University 1060 Nishikawatsucho Matsue690-8504 Japan Department of Ocean and Environmental Sciences Tokyo University of Marine Science and Technology 4-5-7 Konan Tokyo Minato-ku108-8477 Japan Center for Chronological Research Nagoya University Furo-cho Chikusa-ku Nagoya464-8601 Japan 2-15 Natsushima Kanagawa Yokosuka237-0061 Japan Graduate University for Advanced Studies SOKENDAI 10-3 Midori-cho Tokyo Tachikawa190-8518 Japan Institute of Human Culture Studies Otsuma Women's University 12 Sanban-cho Chiyoda-ku Tokyo102–8357 Japan Japan Post Co. Ltd. Kamo Post Office 970–186 Iwameji Hidaka-mura Takaoka-gun Kochi781–2154 Japan State Key Laboratory of Biogeology and Environmental Geology China University of Geosciences Beijing100083 China Saram International Co. Ltd. B1019 167 Songpa-daero Songpa Seoul Korea Republic of Estuary Research Center Shimane University Matsue690-8504 Japan

This study investigated Holocene paleolimnological changes inferred from a multi-proxy dataset of C, N, and S elements, biomarkers, and microscopic observations of microalgae and cyanobacteria in sediment cores from two Rundvågshetta lakes (Maruwanminami-ike and Maruwan-oike) in the Soya Coast region of Antarctica, along with sedimentary facies and accelerator mass spectrometry 14C dating. We discuss biological production and sources, the transition from marine to brackish and lacustrine environments in the lakes, paleoenvironmental changes, transition ages, and relative sea level (RSL) falls (or subsidence) from glacial isostatic adjustment (GIA) in the Soya Coast region. The ages of the Maruwanminami-ike (MwS4C-01, length 147 cm) and Maruwan-oike sediment cores (Mw4C-01, length 226 cm) were 1.4 (5.8 cm core depth)–4.9 and 2.3–5.7 cal ker BP, respectively. The local reservoir effects of the Rundvågshetta lakes were very high, possibly because of the influence of dead carbon in the glacially eroded marine sediments and bed rock. The coastal marine environments of Lakes Maruwanminami-ike (4.9–2.6 cal ker BP) and Maruwan-oike (5.7–3.3 cal ker BP) were characterized by low biological production. A transition period marked by a stratified brackish lake environment in Lakes Maruwanminami-ike (2.6–2.4 cal ker BP) and Maruwan-oike (3.3–2.9 cal ker BP) was characterized by stratified conditions with an anoxic layer at the bottom of the photic zone. The freshwater lake environment of Lake Maruwanminami-ike [(65.6–0 cm, 2.4–1.4 (5.8 cm core depth) cal kyr BP)] was characterized by high biological (cyanobacteria and green algae) production, while that of Lake Maruwan-oike (2.9–2.3 cal ker BP) was characterized by low biological production due to the influence of glacial clay. Around 7.2–3.0 cal ka BP in the Holocene was probably a warm period, and progressive glacial retreat with RSL fall occurred during the warm periods in the Soya Coast region. The RSL falls of all raised be

关键词： Lakes

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An ensemble machine learning model generates a focused screening library for the identification of CDK8 inhibitors

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Protein science 2024年第6期33卷 e5007-e5007页

作者： Lin, Tony Eight Yen, Dyan HuangFu, Wei-Chun Wu, Yi-Wen Hsu, Jui-Yi Yen, Shih-Chung Sung, Tzu-Ying Hsieh, Jui-Hua Pan, Shiow-Lin Yang, Chia-Ron Huang, Wei-Jan Hsu, Kai-Cheng Graduate Institute of Cancer Biology and Drug Discovery College of Medical Science and Technology Taipei Medical University Taipei Taiwan Ph.D. Program for Cancer Molecular Biology and Drug Discovery College of Medical Science and Technology Taipei Medical University Taipei Taiwan TMU Research Center of Cancer Translational Medicine Taipei Medical University Taipei Taiwan Warshel Institute for Computational Biology The Chinese University of Hong Kong (Shenzhen) Guangdong Shenzhen China Biomedical Translation Research Center Academia Sinica Taipei Taiwan Division of Translational Toxicology National Institute of Environmental Health Sciences National Institutes of Health Durham NC United States School of Pharmacy College of Medicine National Taiwan University Taipei Taiwan Graduate Institute of Pharmacognosy College of Pharmacy Taipei Medical University Taipei Taiwan Cancer Center Wan Fang Hospital Taipei Medical University Taipei Taiwan

The identification of an effective inhibitor is an important starting step in drug development. Unfortunately, many issues such as the characterization of protein binding sites, the screening library, materials for assays, etc., make drug screening a difficult proposition. As the size of screening libraries increases, more resources will be inefficiently consumed. Thus, new strategies are needed to preprocess and focus a screening library towards a targeted protein. Herein, we report an ensemble machine learning (ML) model to generate a CDK8-focused screening library. The ensemble model consists of six different algorithms optimized for CDK8 inhibitor classification. The models were trained using a CDK8-specific fragment library along with molecules containing CDK8 activity. The optimized ensemble model processed a commercial library containing 1.6 million molecules. This resulted in a CDK8-focused screening library containing 1,672 molecules, a reduction of more than 99.90%. The CDK8-focused library was then subjected to molecular docking, and 25 candidate compounds were selected. Enzymatic assays confirmed six CDK8 inhibitors, with one compound producing an IC₅₀ value of ≤100 nM. Analysis of the ensemble ML model reveals the role of the CDK8 fragment library during training. Structural analysis of molecules reveals the hit compounds to be structurally novel CDK8 inhibitors. Together, the results highlight a pipeline for curating a focused library for a specific protein target, such as CDK8. © 2024 The Authors. Protein science published by Wiley Periodicals LLC on behalf of The Protein Society.

关键词： CDK8 fragment machine learning molecular docking structure-based virtual screening

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Retraction notice to "Organic composts as A vehicle for the entry of microplastics into the environment: A comprehensive review" [Sci. Total Environ. 892 (2023) 164758]

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The science of the total environment 2024年 957卷 177731页

作者： Van-Re Le Minh-Ky Nguyen Hoang-Lam Nguyen Chitsan Lin Md Refat Jahan Rakib Van-Anh Thai Van-Giang Le Guilherme Malafaia Abubakr M Idris Ho Chi Minh City University of Food Industry (HUFI) 140 Le Trong Tan Street Tan Phu District Ho Chi Minh City 700000 Viet Nam. Faculty of Environment and Natural Resources Nong Lam University of Ho Chi Minh City Hamlet 6 Linh Trung Ward Thu Duc City Ho Chi Minh City 700000 Viet Nam Ph.D. Program in Maritime Science and Technology National Kaohsiung University of Science and Technology Kaohsiung 81157 Taiwan. Department of Civil Engineering McGill University Montreal Canada. Ph.D. Program in Maritime Science and Technology National Kaohsiung University of Science and Technology Kaohsiung 81157 Taiwan Department of Marine Environmental Engineering National Kaohsiung University of Science and Technology Kaohsiung 81157 Taiwan. Department of Fisheries and Marine Science Faculty of Science Noakhali Science and Technology University Noakhali 3814 Bangladesh. Institute of Aquatic Science and Technology National Kaohsiung University of Science and Technology Kaohsiung City 81157 Taiwan. Central Institute for Natural Resources and Environmental Studies Vietnam National University Hanoi 111000 Viet Nam. Post-Graduation Program in Ecology Conservation and Biodiversity Federal University of Uberlândia Uberlândia MG Brazil Post-Graduation Program in Biotechnology and Biodiversity Federal University of Goiás Goiânia GO Brazil Post-Graduation Program in Conservation of Cerrado Natural Resources Goiano Federal Institute Urutaí GO Brazil. Department of Chemistry College of Science King Khalid University 61431 Abha Saudi Arabia Research Center for Advanced Materials Science (RCAMS) King Khalid University Abha 61421 Saudi Arabia.

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Correction to: A mini‑review on plasticrusts: occurrence, current trends, potential threats, and recommendations for coastal sustainability

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environmental monitoring and assessment 2024年第7期196卷 629页

作者： Minh-Ky Nguyen Md Refat Jahan Rakib Hoang-Lam Nguyen Chitsan Lin Guilherme Malafaia Abubakr M Idris Faculty of Environment and Natural Resources Nong Lam University of Ho Chi Minh City Hamlet 6 Linh Trung Ward Thu Duc City Ho Chi Minh City 700000 Vietnam. Ph.D. Program in Maritime Science and Technology National Kaohsiung University of Science and Technology Kaohsiung 81157 Taiwan. Department of Fisheries and Marine Science Faculty of Science Noakhali Science and Technology University Sonapur Noakhali 3814 Bangladesh. Department of Civil Engineering McGill University Montreal Canada. Ph.D. Program in Maritime Science and Technology National Kaohsiung University of Science and Technology Kaohsiung 81157 Taiwan. ctlin@nkust.edu.tw. Department of Marine Environmental Engineering National Kaohsiung University of Science and Technology Kaohsiung 81157 Taiwan. ctlin@nkust.edu.tw. Post‑Graduation Program in Ecology Conservation and Biodiversity Federal University of Uberlandia Uberlandia MG Brazil. guilhermeifgoiano@***. Post‑Graduation Program in Biotechnology and Biodiversity Federal University of Goias Goiania GO Brazil. guilhermeifgoiano@***. Post‑Graduation Program in Conservation of Cerrado Natural Resources Goiano Federal Institute Urutai GO Brazil. guilhermeifgoiano@***. Department of Chemistry College of Science King Khalid University 62529 Abha Saudi Arabia. Research Center for Advanced Materials Science (RCAMS) King Khalid University 62529 Abha Saudi Arabia.

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