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Preface: Marine and coastal applications in landscape ecology

Landscape Ecology 2008年第SUPPL. 1期23卷 1-5页

作者： Hinchey, Elizabeth K. Nicholson, Matthew C. Zajac, Roman N. Irlandi, Elizabeth A. U.S. Environmental Protection Agency National Health and Environmental Effects Research Laboratory Atlantic Ecology Division Narragansett RI 02882 27 Tarzwell Dr United States Illinois-Indiana Sea Grant College Program Purdue University Chicago IL 60604 77 West Jackson Blvd. (G-17J) United States U.S. Environmental Protection Agency Environmental Information and Analysis Branch Environmental Assessment and Innovation Division Philadelphia PA 19103-2029 1650 Arch Street United States Graduate Program in Environmental Science Department of Biology and Environmental Science University of New Haven West Haven CT 06516 300 Boston Post Road United States Department of Marine and Environmental Systems Florida Institute of Technology Melbourne FL 32901 150 West University Boulevard United States

Landscape ecology traditionally has been limited to the study of terrestrial systems;however, the questions and methods defining the science are equally relevant for marine and coastal systems. The reciprocal relationship between spatial pattern and ecological processes and the overarching effect of scale on this relationship was being explored in some marine and coastal settings as the general discipline of landscape ecology was evolving throughout the latter two decades of the last century. As with all components of the biosphere, an understanding of these relationships is critical for successful management of marine and coastal systems. In these systems, widely dispersed field or ship-based observations and lack of broad scale data have historically precluded quantification of large-scale patterns and processes and hindered management efforts. However, relatively recent advances in geographic information systems, remote sensing and computer technologies have begun to address these issues and are now permitting assessments of pattern and process in oceans. The intent of this special issue is to highlight research that is adapting the tools of landscape ecology to answer ecological questions within marine and coastal systems, to address the unique challenges faced in these landscapes, and to stimulate an exchange of ideas and solutions to common problems. Inspiration for this special issue of Landscape Ecology began with a special session on "Marine and Coastal Applications in Landscape Ecology" that was held at the 19th Annual Symposium of the United States Regional Association of the International Association for Landscape Ecology, March 31-April 2, 2004 in Las Vegas, Nevada. © 2007 Springer science+Business Media B.V.

关键词： Benthic landscapes Habitat fragmentation Landscape ecology Larval dispersal Marine coral reef reserves Polychaete species diversity Reef fish communities Seagrass landscape pattern Sediment metal concentrations

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The Effect of AIDA Model to Purchasing Decision: The Case of HappyFresh Instagram Promotion 9

The Effect of AIDA Model to Purchasing Decision: The Case of...

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9th International Conference on Cyber and IT Service Management, CITSM 2021

作者： Pratiwi, Noviana Maman, Ujang Junaidi Danapriatna, Nana Mukri, Rusdiono Hejazziey, Djawahir Universitas Islam Negeri Syarif Hidayatullah Jakarta Agribusiness Undergraduate Program Faculty of Science and Technology Indonesia Universitas Islam '45' Bekasi Agribusiness Undergraduate Program Faculty of Agriculture Bekasi Indonesia Sahid Islamic Entrepreneurial University Madrasah Ibtidaiyyah Teacher Program Faculty of Tarbiyah and Teacher Training Bogor Indonesia Universitas Islam Negeri Syarif Hidayatullah Jakarta Post Graduate Program of Sharia Economic Law Indonesia

ISBN: (纸本)9781665435482

The high use of internet especially social media has made this virtual world as a marketing tool. Therefore, this study aims: to determine the effect of Instagram-social media promotion on purchasing decisions, the level of AIDA (Attention, Interest, Desire and Action) among consumers;its influence on purchasing decisions;and to determine the suitable AIDA model for fresh products. The research population is Instagram followers @HappyFresh_id. The sample is 100 people based on five-percent-error-probability of Slovin formula, and it is derived by a simple random sampling technique. The data collected during March-April 2021, and adopting multiple linear regression analysis, proves AIDA simultaneously influences purchasing decisions with a determination level of 67%. Likewise, the interest, desire, and action have a significant effect on buying decisions. Accordingly, the research presents three variations of AIDA model for effective social media marketing, but it needs further analysis. © 2021 IEEE.

关键词： Social networking (online)

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IMPROVEMENT OF THE TYPOLOGY ON ANALYSIS OF DISTRIBUTION TREND REGARDING ROOF RIDGE ORIENTATION OF MACHIYA

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AIJ Journal of technology and Design 2024年第76期30卷 1535-1540页

作者： Yu, Zike Okazaki, Atsuyuki Graduate School of Science and Technology Dept. of Environmental Science Niigata Univ Japan Program of Arch. Faculty of Eng. Niigata Univ Japan

The purpose of this paper is to propose a more detailed classification method for the orientation of machiya buildings based on the survey results using the Internet map function. The results of this paper reveal: 1) The flow of the machiya classification and the criteria for judging each type of machiya, which had not been fully explained in previous studies. 2) For machiya that combine hirairi and tsumairi, we subdivided them based on past research on the interior space. © 2024 Architectural Institute of Japan. All rights reserved.

关键词： Composite style Hirairi Machiya Roof ridge Orientation Tumairi

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Hierarchical kinetic simulation for autocatalytic decomposition of cumene hydroperoxide at low temperatures

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Journal of Thermal Analysis and Calorimetry 2009年第3期96卷 751-758页

作者： Chen, Jiann-Rong Cheng, Shyh-Yuch Yuan, Min-Hao Kossoy, Arcady A. Shu, Chi-Min General Education Hsiuping Institute of Technology 11 Gong-Ye Road Dali Taichung County 41280 Taiwan Doctoral Program Graduate School of Engineering Science and Technology National Yunlin University of Science and Technology 123 University Road Sec. 3 Douliou Yunlin 64002 Taiwan Department of Occupational Safety and Hygiene Chia-Nan University of Pharmacy and Science 60 Erh-Jen Road Sec.1 Jente Tainan 71710 Taiwan Graduate Institute of Environmental Engineering National Taiwan University 1 Sec. 4 Roosevelt Road Taipei 10617 Taiwan Ltd 14 Dobrolubov Ave St. Petersburg 197198 Russia

A hierarchical set of kinetic models were proposed and discussed for simulation of autocatalytic decomposition of cumene hydroperoxide (CHP) in cumene at low temperatures. The hierarchy leads from a formal model of full autocatalysis, which is based on conversion degree as a state variable, through a two-stage autocatalytic concentration-based model to a meticulous multi-stage model of the reaction. By the ForK (Formal Kinetics) and DesK (Descriptive Kinetics) software, developed by ChemInform Saint Petersburg (CISP) Ltd., the related kinetic parameters and their significance have also been estimated and elucidated. Through this best-fit approach, it is possible to formulate a systematic methodology on the kinetic studies for thermal decomposition of typical organic peroxides with autocatalytic nature, specifically at low temperature ranges. © 2009 Akadémiai Kiadó, Budapest, Hungary.

关键词： Kinetic parameters

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Top Agricultural Commodities for Agropolitan Development in Nagan Raya District, Aceh, Indonesia 2nd

Top Agricultural Commodities for Agropolitan Development in ...

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2nd International Conference on Biomass Utilization and Sustainable Energy, ICoBiomasSE 2022

作者： Latif, Abdul Karim, Abubakar Sugianto, Sugianto Romano Ikhwali, M. Faisi Rusdi, Muhammad Doctor Candidate of Agriculture Graduate Program Universitas Syiah Kuala Banda Aceh Indonesia Faculty of Agriculture Universitas Syiah Kuala Banda Aceh Indonesia Department of Environmental Engineering Faculty of Science and Technology UIN Ar-Raniry Banda Aceh Aceh Indonesia

ISBN: (纸本)9789819916948

Top commodities are those that can stimulate growth or development in other sectors, both of which supply inputs and use output in the production process. Leading commodities have high rates of economic growth, relatively large distribution rates, high inter-sector linkages, and the ability to create high-added value. The aim of this research is to examine the leading commodities in Nagan Raya District, Aceh, Indonesia, in terms of agropolitan development. The research method is based on (1) descriptive analysis of agricultural commodity potential, (2) Location Quotient (LQ) analysis to determine commodity superiority, (3) Shift Share Analysis (SSA) to determine commodity development priority level, performance sub-district economy and its hierarchical structure based on agricultural commodity resources, and (4) priority analysis for the development of superior commodities. Darul Makmur sub-district has the highest agricultural production with 73,678 tons/year, followed by Beutong (39,514 tons/year), East Seunagan (36,369 tons/year), Tadu Raya (28,488 tons/year), and Seunagan (24,532 tons/year). This output contains oil palm, rubber, rice, corn, soybeans, cassava, long beans, kale, red chili, durian, banana, and papaya. Meanwhile, the results of the priority development of superior commodities analysis show that the districts of Kuala Pesisir, Beutong Ateuh Banggalang, and East Seunagan have the potential to be agropolitan agriculture developments in Nagan Raya. This is supported by positive proportional and regional share growth, as well as land's ability to provide the most superior commodities (15 commodities) compared to other sub-districts. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Agriculture

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Computer-aided drug discovery of a dual-target inhibitor for ovarian cancer: therapeutic intervention targeting CDK1/TTK signaling pathway and structural insights in the NCI-60

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Computers in Biology and Medicine 2025年 193卷

作者： Sung-Ling Tang Maryam Rachmawati Sumitra Yu-Cheng Kuo Han-Lin Hsu Muhamad Ansar Sheng-Liang Huang Shih-Yu Lee Hong-Jaan Wang Bashir Lawal Alexander T.H. Wu Lung-Ching Chen Hsu-Shan Huang School of Pharmacy National Defense Medical Center Taipei 11490 Taiwan PhD Program for Cancer Molecular Biology and Drug Discovery College of Medical Science and Technology Taipei Medical University Taipei 11031 Taiwan Graduate Institute of Cancer Biology and Drug Discovery College of Medical Science and Technology Taipei Medical University Taipei 11031 Taiwan Department of Pharmacology School of Medicine College of Medicine Taipei Medical University Taipei 11031 Taiwan School of Post-Baccalaureate Chinese Medicine College of Chinese Medicine China Medical University Taichung 40604 Taiwan Graduate Institute of Clinical Medicine Taipei Medical University Taipei 11031 Taiwan Division of Pulmonary Medicine Department of Internal Medicine Wanfang Hospital Taipei Medical University Taipei 11031 Taiwan Ph.D. Program in the Clinical Drug Development of Herbal Medicine Taipei Medical University Taipei 110301 Taiwan Graduate Institute of Aerospace and Undersea Medicine National Defense Medical Center Taipei 11490 Taiwan UPMC Hillman Cancer Center University of Pittsburgh Pittsburgh PA USA Ph.D. Program of Translational Medicine College of Science and Technology Taipei Medical University Taipei 11031 Taiwan Division of Cardiology Department of Internal Medicine Shin Kong Wu Ho-Su Memorial Hospital Taipei 11101 Taiwan Ph.D. Program in Biotechnology Research and Development College of Pharmacy Taipei Medical University Taipei 11031 Taiwan

Ovarian cancer remains the third most prevalent and deadliest gynecologic malignancy worldwide, with most patients eventually developing resistance to platinum-based chemotherapy. This highlights a critical unmet need for innovative multitargeted therapies to address current treatment challenges. In this study, we identified 35 differentially expressed genes (DEGs) through integrated analysis of four GEO ovarian cancer datasets, with validation using TCGA data. Gene Ontology (GO) and KEGG enrichment analyses highlighted key tumor-associated pathways, and protein–protein interaction (PPI) network modeling prioritized CDK1 and TTK as high-value therapeutic targets. We evaluated the association between molecular genomic features and drug responses across the NCI-60 ovarian cancer cell line panel (IGROV1, OVCAR-3, OVCAR-4, OVCAR-5, OVCAR-8, NCI/ADR-RES, and SK-OV-3), using a series of salicylanilide-derived compounds and four FDA-approved drugs (cabozantinib, paclitaxel, rapamycin, and niclosamide) from the NCI Developmental Therapeutics program (DTP). Among these, NSC765690 (MCC22) emerged as the most promising candidate. It demonstrated potent antiproliferative activity, high target selectivity, and strong binding affinity to both CDK1 and TTK. Multi-omics integration, combined with AI-driven network modeling, further elucidated NSC765690's mechanism of action and its relevance to ovarian cancer pathogenesis. Additionally, ADMET and pharmacokinetic profiling confirmed its favorable drug-like properties and low predicted toxicity. Collectively, these findings establish NSC765690 as a potent dual-target inhibitor and exemplify a rational, data-driven drug discovery pipeline for overcoming chemotherapy resistance in ovarian cancer.

关键词： Ovarian cancer Dual-target small molecule inhibitor Molecular docking NCI-60 panel Machine learning Molecular dynamics simulations OC ovarian cancer ML machine learning NLP natural language processing DEGs Differentially Expressed Genes PPI Protein-Protein Interaction GEO Gene Expression Omnibus GO Gene Ontology IPA Ingenuity Pathway Analysis TCGA The Cancer Genome Atlas KEGG Kyoto Encyclopedia of Genes and Genomes GO-BP Gene Ontology-Biological Process DTP Developmental Therapeutics program NCI National Cancer Institute CC Cellular Component MF Molecular Functions IHC immunohistochemical FDR false discovery rate BBB Blood brain barrier 3D three-dimensional MDS molecular dynamics simulation analysis RMSF analysis Root Mean Square Fluctuation analysis CDKs cyclin-dependent kinases TTK threonine and tyrosine kinase CNS central nervous system OS overall survival CSC cancer stem cells AI artificial intelligence SRB sulforhodamine B assay ADMET absorption, distribution, metabolism, excretion, and toxicity HPA human protein atlas WES whole exome sequencing MDR multidrug resistance HGSOC high-grade serous ovarian cancer TKI tyrosine kinase inhibitor SAC spindle assembly checkpoint HRR homologous recombination repair HRD homologous recombination deficiency

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Implementation of Augmented Reality in Pretend Play Therapy for Children with Autism Spectrum Disorder 3

Implementation of Augmented Reality in Pretend Play Therapy ...

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3rd International Conference on Computing and Applied Informatics 2018, ICCAI 2018

作者： Syahputra, M.F. Angkasih, A.P. Purnamawati, S. Andayani, U. Abdullah, D. Sriadhi, S. Iskandar, A. Rosida, T.M. Fitriany, J. Sari, I.N. Utama, M.D. Nanuru, R.F. Department of Information Technology Faculty of Computer Science and Information Technology Universitas Sumatera Utara Medan Indonesia Department of Informatics Universitas Malikussaleh Aceh Utara Indonesia Department of Electrical Engineering Universitas Negeri Medan Indonesia Informatics Engineering STMIK AKBA Makassar Indonesia Graduate Program in Scientific Psychology Universitas Kristen Maranatha Indonesia Department of Pediatric Universitas Malikussaleh Aceh Utara Indonesia Departement of Social Science Education Program Post Graduate Program Universitas Kanjuruhan Malang Malang Indonesia Faculty of Social and Political Science Universitas Kristen Indonesia Maluku Indonesia Universitas Kristen Indonesia Maluku Ambon Indonesia

Autism Spectrum Disorder is a pervasive developmental disorder that will affect children in terms of interpersonal communication, social interaction, and imaginative levels in play. Many therapies to help the motor neuron performance is one of them Pretend Play. Pretend Play is a therapy that invites children in playing to demonstrate something else and tell how to use objects that are considered in the child's imagination. However, in the era of highly developed technology, many fields have used the Augmented Reality method as a visualization of various aspects. With this method researchers will present the therapeutic visualization of the block to 3D transportation tool that is useful for strengthening motor nerves and visual strength of the child. The system can run well during marker detection, marker movement, and 3D object display with the accuracy of precision angle and distance between virtual world with real world reach 100% with angle 0 at distance 31 cm and the maximum distance from the marker is 46 cm and the maximum angle is 30. © 2019 Published under licence by IOP Publishing Ltd.

关键词： Augmented reality

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Model Predictions for New Iron Ore Sintering Process technology Based on Biomass and Gaseous Fuels

Model Predictions for New Iron Ore Sintering Process Technol...

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2014 3rd International Conference on Micro Nano Devices,Structure and Computing Systems(MNDSCS 2014)

作者： Jose Adilson de Castro Federal Fluminense University-Graduate Program on Mechanical Engineering-Volta Redonda Environmental Metallurgy Laboratory (IML) Graduate Institute of Ferrous Technology (GIFT)-Pohang University of Science and Technology

In this paper a new technology for a compact iron ore sintering machine is *** compact sintering process is based on the massive injection of gaseous fuels and the solid fuel is only agglomerated fine charcoal obtained by *** solid fuel used in this study is obtained by agglomeration of fine charcoal produced from elephant glass which has very short period for production and CO capture（less than 6 months in tropical climate）.To overcome the lower heat supply into the combustion front of the sintering process the simultaneous injection of oxygen and gaseous fuel is *** proposed methodology is to combine the solid fuel（agglomerated fines charcoal） and steelworks gases in a compact machine to enhance heat and mass transfer with high productivity（about 5 times the conventional large machine）.A multiphase mathematical model based on transport equations of momentum,energy and chemical species coupled with chemical reaction rates and phase transformations is used to analyze the inner process parameters.A base case representing a possible actual industrial operation of the sintering machine is used in order to compare different scenarios of practicable operations which represents advanced operations *** model was used to predict six cases of combined operation with biomass and fuel gas utilization:a)Scenario 01 and 02:Wind boxes inflow from N01-N10 of rich mixture of natural gas（NG） +Air+O,b) Scenario 03 and 04:Wind boxes inflow from N01-N10 of rich mixture of coke oven gas（COG）+Air +O,c) Scenario 05 and 06:Wind boxes inflow from N01-N10 of mixture of COG+BFG+Air+*** model predictions indicated that for all cases,the sintering zone is enlarged and the solid fuel consumption is *** order to maximize the steelworks gas utilization it is recommended the use of mixture of COG and BFG with optimum inner temperature distribution within a compact sintering machine（in this study was the scenario 05）,which enhance the productivity keep

关键词： Sintering process Multiphase modeling Gaseous fuels Biomass

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Book Reviews

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Society & Natural Resources 2004年第8期17卷 753-761页

作者： Nelson, Peter B. Raymond, Leigh Cohen, Maurie J. Department of Geography Middlebury College USA Department of Political Science Purdue University USA Graduate Program in Environmental Policy Studies New Jersey Institute of Technology USA

Reviews books about society and natural resources. 'Community on Land: Community, Ecology and the Public Interest,' by Janel M. Curry and Steven Mcguire and 'Finding Common Ground: Governance and Natural R... 详细信息

关键词： NATURAL resources NONFICTION

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Assessment of the Impact of COVID-19 Lockdown on the Spatio-Temporal Distribution of PM2.5 in Thailand 1

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8th Asia Conference on Environment and Sustainable Development, ACESD 2023

作者： Simatupang, Cathleen Ariella Piyaviriyakul, Pitchaya Pongkiatkul, Prapat Strezov, Vladimir Boontanon, Narin Jindal, Ranjna Boontanon, Suwanna Kitpati Graduate Program in Environmental and Water Resources Engineering Department of Civil and Environmental Engineering Faculty of Engineering Mahidol University Nakhon Pathom73170 Thailand School of Natural Sciences Faculty of Science and Engineering Macquarie University SydneyNSW2109 Australia Department of Environmental Engineering King Mongkut’s University of Technology Thonburi 10800 Bangkok Thailand Faculty of Environment and Resource Studies Mahidol University Nakhon Pathom73170 Thailand Environmental Engineering and Management Program Department of Energy Environment and Climate Change School of Environment and Resources Development Asian Institute of Technology 12120 Pathumthani Thailand Graduate School of Global Environmental Studies Kyoto University 606-8501 Yoshida Sakyo-Ku Kyoto Japan

ISBN: (数字)9789819733200

ISBN: (纸本)9789819733194

During COVID-19 pandemic several countries have implemented quarantines in response to the virus’ spread, which was considered an emergency. Thailand was under a state of emergency from January to December 2020, which has had an impact on the state of environment. Based on real-time data from the Pollution Control Department, the impact of COVID-19 lockdown on PM2.5 pollution in Thailand was examined. Inverse Distance Weighted interpolation was used to generate a more accurate visual representation of the PM2.5 pollution through a spatial distribution of atmospheric pollutants across the provinces of Thailand. PM2.5 levels in all considered areas reduced considerably between 2017 and 2020, with the most significant decrease occurring during the lockdown period of April-July in 2020. As the pre-COVID-19 period occurred during late winter in Thailand, the monthly average PM2.5 concentrations in all selected provinces were gradually increased from December 2019 to March 2020. During the lockdown period, the concentration of PM2.5 was reduced in Pathum Thani (48.9%), Samut Sakhon (35.6%) Samut Prakarn (33.6%), and Bangkok (31.7%) The spatial–temporal distribution of the PM2.5 levels in Samut Sakhon and Samut Prakarn provinces were analyzed for October 2020, during the new normal period. The results showed a significant decrease in concentration of up to 31% compared to previous years where industrial operations were situated. This study showed that the government enforced lockdown during COVID-19 pandemic was beneficial in understanding the impact of reduced human activities on anthropogenic air pollutants’ concentrations. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： COVID-19

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