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| WoS | SCOPUS | Document Type | Document Title | Abstract | Authors | Affiliation | ResearcherID (WoS) | AuthorsID (SCOPUS) | Author Email(s) | Journal Name | JCR Abbreviation | ISSN | eISSN | Volume | Issue | WoS Edition | WoS Category | JCR Year | IF | JCR (%) | FWCI | FWCI Update Date | WoS Citation | SCOPUS Citation | Keywords (WoS) | KeywordsPlus (WoS) | Keywords (SCOPUS) | KeywordsPlus (SCOPUS) | Language | Publication Stage | Publication Year | Publication Date | DOI | JCR Link | DOI Link | WOS Link | SCOPUS Link |
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| ○ | ○ | Article | Effective Digital Technology Enabling Automatic Recognition of Special-Type Marking of Expiry Dates | In this study, we present a machine-learning-based approach that focuses on the automatic retrieval of engraved expiry dates. We leverage generative adversarial networks by augmenting the dataset to enhance the classifier performance and propose a suitable convolutional neural network (CNN) model for this dataset referred to herein as the CNN for engraved digit (CNN-ED) model. Our evaluation encompasses a diverse range of supervised classifiers, including classic and deep learning models. Our proposed CNN-ED model remarkably achieves an exceptional accuracy, reaching a 99.88% peak with perfect precision for all digits. Our new model outperforms other CNN-based models in accuracy and precision. This work offers valuable insights into engraved digit recognition and provides potential implications for designing more accurate and efficient recognition models in various applications. | Abdulraheem, Abdulkabir; Jung, Im Y. | Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu 41566, South Korea | 57929177700; 18037522200 | iyjung@ee.knu.ac.kr; | SUSTAINABILITY | SUSTAINABILITY-BASEL | 2071-1050 | 15 | 17 | SCIE;SSCI | ENVIRONMENTAL SCIENCES;ENVIRONMENTAL STUDIES;GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY | 2023 | 3.3 | 36.0 | 0.53 | 2025-06-25 | 3 | 4 | classifier algorithm; CNN; deep learning; engraved digit recognition; hybrid CNN | DECISION TREE CLASSIFIER; CNN | classifier algorithm; CNN; deep learning; engraved digit recognition; hybrid CNN | algorithm; artificial neural network; data set; digitization; machine learning; precision | English | 2023 | 2023-09 | 10.3390/su151712915 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | ○ | Article | Enhancing the Automatic Recognition Accuracy of Imprinted Ship Characters by Using Machine Learning | In this paper, we address the challenge of ensuring safe operations and rescue efforts in emergency situations, for the sake of a sustainable marine environment. Our focus is on character recognition, specifically on deciphering characters present on the surface of aged and corroded ships, where the markings may have faded or become unclear over time, in contrast to vessels with clearly visible letters. Imprinted ship characters encompassing engraved, embroidered, and other variants found on ship components serve as vital markers for ship identification, maintenance, and safety in marine technology. The accurate recognition of these characters is essential for ensuring efficient operations and effective decision making. This study presents a machine-learning-based method that markedly improves the recognition accuracy of imprinted ship numbers and characters. This improvement is achieved by enhancing data classification accuracy through data augmentation. The effectiveness of the proposed method was validated by comparing it to State-of-the-Art classification technologies within the imprinted ship character dataset. We started with the originally sourced dataset and then systematically increased the dataset size, using the most suitable generative adversarial networks for our dataset. We compared the effectiveness of classic and convolutional neural network (CNN)-based classifiers to our classifier, a CNN-based classifier for imprinted ship characters (CNN-ISC). Notably, on the augmented dataset, our CNN-ISC model achieved impressive maximum recognition accuracy of 99.85% and 99.7% on alphabet and digit recognition, respectively. Overall, data augmentation markedly improved the recognition accuracy of ship digits and alphabets, with the proposed classification model outperforming other methods. | Abdulraheem, Abdulkabir; Suleiman, Jamiu T.; Jung, Im Y. | Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu 41566, South Korea | 57929177700; 58571666300; 18037522200 | aaoabdul@gmail.com;jamiu.suleiman111@gmail.com;iyjung@ee.knu.ac.kr; | SUSTAINABILITY | SUSTAINABILITY-BASEL | 2071-1050 | 15 | 19 | SCIE;SSCI | ENVIRONMENTAL SCIENCES;ENVIRONMENTAL STUDIES;GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY | 2023 | 3.3 | 36.0 | 0 | 2025-06-25 | 0 | 0 | imprinted ship characters; automatic recognition; recognition accuracy; dataset augmentation; machine learning classifiers | automatic recognition; dataset augmentation; imprinted ship characters; machine learning classifiers; recognition accuracy | English | 2023 | 2023-10 | 10.3390/su151914130 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||||
| ○ | ○ | Article | Fast Pyrolysis of Tea Bush, Walnut Shell, and Pine Cone Mixture: Effect of Pyrolysis Parameters on Pyrolysis Crop Yields | Liquid products obtained by the fast pyrolysis process applied to biomass can be used as chemical raw materials and liquid fuels. In this study, tea bush, walnut shell, and pine cone samples selected as biomass samples were obtained from Trabzon and Rize provinces in the Eastern Black Sea Region and used. When considered in terms of our region, the available biomass waste samples are easy to access and have a high potential in quantity. To employ them in the experimental investigation, these biomass samples were first ground, sieved to a particle size of 1.0 mm, and mixed. A fast pyrolysis process was applied to this obtained biomass mixture in a fixed-bed pyrolysis reactor. The effects of temperature, heating rate, and nitrogen flow rate on the product yields of the fast pyrolysis technique used on the biomass mixture are examined. A constant particle size of 1.0 mm, temperatures of 300, 400, 500, 600, and 750 degrees C, heating rates of 100, 250, 400, and 600 degrees C.min-1, and flow rates of 50, 100, 200, and 300 cm3.min-1 were used in tests on fast pyrolysis. The studies showed the 500 degrees C pyrolysis temperature, 100 degrees C min-1 heating rate, and 50 cm3.min-1 nitrogen flow rate gave the maximum liquid product yield. The liquid product generated under the most compelling circumstances is analyzed to determine moisture, calorific value, fixed carbon, ash, raw coke, and volatile matter. Additionally, the crude bio-oil heating value, measured at 5900 cal/g and produced under the most favorable pyrolysis circumstances, rose by around 40% compared to its starting material. The liquid product obtained from rapid pyrolysis experiments can be used as liquid fuel. The evaluation of the potential of chemical raw materials can be a subject of research in a different discipline since there are many chemical raw materials (glycerine, furfurals, cellulose and derivatives, carbonaceous materials, and so forth) in fast pyrolysis liquids. | Kar, Turgay; Kaygusuz, Omer; Guney, Mukrimin Sevket; Cuce, Erdem; Keles, Sedat; Shaik, Saboor; Owolabi, Abdulhameed Babatunde; Nsafon, Benyoh Emmanuel Kigha; Ogunsua, Johnson Makinwa; Huh, Jeung-Soo | Karadeniz Tech Univ, Fac Sci, Dept Chem, TR-61080 Trabzon, Turkiye; Giresun Univ, Fac Engn, Dept Mech Engn, TR-28200 Giresun, Turkiye; Recep Tayyip Erdogan Univ, Fac Engn & Architecture, Dept Mech Engn, Zihni Derin Campus, TR-53100 Rize, Turkiye; Birmingham City Univ, Sch Engn & Built Environm, Birmingham B4 7XG, England; Vellore Inst Technol VIT, Sch Mech Engn, Vellore 632014, India; Kyungpook Natl Univ, Reg Leading Res Ctr Smart Energy Syst, Sangju 37224, South Korea; Kyungpook Natl Univ, Dept Convergence & Fus Syst Engn, Sangju 37224, South Korea; Kyungpook Natl Univ, Dept Energy Convergence & Climate Change, Daegu 41566, South Korea; Nigerian Stored Prod Res Inst, Postharvest Engn Res Dept, Ilorin 240003, Nigeria | ; Cuce, Erdem/P-4562-2015; Kar, Turgay/HCI-2182-2022; Saboor, Shaik/M-8170-2018; KAR, Turgay/HCI-2182-2022; keles, sedat/J-3601-2017; Shaik, Dr. Saboor/M-8170-2018 | 55887803100; 58627121100; 35558704300; 47560946200; 57194376621; 57193789174; 57192210107; 57211664452; 57225000938; 7102258915 | karturgay1984@gmail.com;omerkaygusuz061@gmail.com;ms.guney@giresun.edu.tr;erdemcuce@gmail.com;sedat725@hotmail.com;saboor.nitk@gmail.com;owolabiabdulhameed@gmail.com;luxnsafon@yahoo.ca;jonehmak@gmail.com;jshuh@knu.ac.kr; | SUSTAINABILITY | SUSTAINABILITY-BASEL | 2071-1050 | 15 | 18 | SCIE;SSCI | ENVIRONMENTAL SCIENCES;ENVIRONMENTAL STUDIES;GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY | 2023 | 3.3 | 36.0 | 0.66 | 2025-06-25 | 5 | 5 | biomass; bio-oil; fast pyrolysis; walnut shell; pine cone; tea bush; heating rate | HEATING RATE; BIO-OIL; TEMPERATURE | bio-oil; biomass; fast pyrolysis; heating rate; pine cone; tea bush; walnut shell | Black Sea; Trabzon; biofuel; biomass; crop yield; particle size; pyrolysis; shell | English | 2023 | 2023-09 | 10.3390/su151813718 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | ○ | Article | Fate of Sulfate in Municipal Wastewater Treatment Plants and Its Effect on Sludge Recycling as a Fuel Source | Wastewater sludge is used as an alternative fuel due to its high organic content and calorific value. However, influent characteristics and operational practices of wastewater treatment plants (WWTPs) can increase the sulfur content of sludge, devaluing it as a fuel. Thus, we investigated the biochemical mechanisms that elevate the sulfur content of sludge in a full-scale industrial WWTP receiving wastewater of the textile dyeing industry and a domestic WWTP by monitoring the sulfate, sulfur, and iron contents and the biochemical transformation of sulfate to sulfur in the wastewater and sludge treatment streams. A batch sulfate reduction rate test and microbial 16S rRNA and dsrB gene sequencing analyses were applied to assess the potential and activity of sulfate-reducing bacteria and their effect on sulfur deposition. This study indicated that the primary clarifier and anaerobic digester prominently reduced sulfate concentration through biochemical sulfate reduction and iron-sulfur complexation under anaerobic conditions, from 1247 mg/L in the influent to 6.2-59.8 mg/L in the industrial WWTP and from 46.7 mg/L to 0-0.8 mg/L in the domestic WWTPs. The anaerobic sludge, adapted in the high sulfate concentration of the industrial WWTP, exhibited a two times higher specific sulfate reduction rate (0.13 mg SO42-/gVSS/h) and sulfur content (3.14% DS) than the domestic WWTP sludge. Gene sequencing analysis of the population structure of common microbes and sulfate-reducing bacteria indicated the diversity of microorganisms involved in biochemical sulfate reduction in the sulfur cycle, supporting the data revealed by chemical analysis and batch tests. | Ho, Que Nguyen; Anam, Giridhar Babu; Kim, Jaein; Park, Somin; Lee, Tae-U; Jeon, Jae-Young; Choi, Yun-Young; Ahn, Young-Ho; Lee, Byung Joon | Kyungpook Natl Univ, Energy Environm Inst, Sangju 37224, South Korea; Ton Duc Thang Univ, Fac Environm & Labour Safety, Ho Chi Minh City 700000, Vietnam; Yeungnam Univ, Dept Civil Engn, Gyongsan 38541, South Korea; Kyungpook Natl Univ, Dept Disaster Prevent & Environm Engn, Sangju 37224, South Korea; Daegu Publ Facil Corp, Daegu 42479, South Korea; Kyungpook Natl Univ, Dept Adv Sci & Technol Convergence, Sangju 37224, South Korea | Lee, Jungmin/KHT-2438-2024; Anam, Giridhar Babu/P-4009-2016; Nguyen Ho, Que/HLQ-4684-2023; Anam, Giridhar/P-4009-2016 | 57442240100; 57194436957; 57194534599; 58055710500; 57194535376; 58055820000; 56019880500; 24586951200; 56016052400 | yhahn@ynu.ac.kr;bjlee@knu.ac.kr; | SUSTAINABILITY | SUSTAINABILITY-BASEL | 2071-1050 | 15 | 1 | SCIE;SSCI | ENVIRONMENTAL SCIENCES;ENVIRONMENTAL STUDIES;GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY | 2023 | 3.3 | 36.0 | 1.19 | 2025-06-25 | 8 | 9 | sewage sludge; recycling; sulfate reduction; metal complexation; gene sequencing | SEWAGE-SLUDGE; REDUCING BACTERIA; DIVERSITY; ENERGY | gene sequencing; metal complexation; recycling; sewage sludge; sulfate reduction | biochemical phenomena; complexation; recycling; sludge; sulfate; wastewater treatment plant | English | 2023 | 2023-01 | 10.3390/su15010311 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | ○ | Article | Hazardous Elements in Sediments Detected in Former Decommissioned Coal Mining Areas in Colombia: A Need for Environmental Recovery | This study demonstrates an investigation into nanomineralogical and geochemical evolution for the detection of hazardous elements from old, abandoned coal mining deposits capable of causing negative environmental impacts. The general objective of this study is to evaluate the number of nanoparticulate chemical elements in sediments collected during the years 2017 and 2022 from deactivated coal mining areas in the La Guajira and Cesar regions of Colombia. Sediments were collected and analyzed from areas that experienced spontaneous coal combustion (SCC). The analysis consisted of traditional mineralogical analysis by X-ray diffraction and Raman spectroscopy, nanomineralogy by field emission scanning electron microscope-FE-SEM, and high-resolution transmission electron microscope-HR-TEM (energy dispersive X-ray microanalysis system-EDS). The analyzed sediment samples contained high proportions of amorphous materials containing the chemical elements As, Cl, Hg, Mo, Pb, Sb, and Se. This study emphasizes the need to implement environmental recovery projects at former, now abandoned coal extraction areas located in the investigated region, as they have negative effects on the environment and human health across large regions. | Oliveira, Marcos L. S.; Valenca, Gabriela Oliveira; Pinto, Diana; Moro, Leila Dal; Bodah, Brian William; Mores, Giana de Vargas; Grub, Julian; Adelodun, Bashir; Neckel, Alcindo | Univ Costa, Dept Civil & Environm Engn, CUC, Calle 58 55-66, Barranquilla 080002, Colombia; Univ Fed Santa Catarina, Dept Sanit & Environm Engn, Campus Univ Trindade, BR-87504200 Florianopolis, Brazil; ATITUS Educ, BR-99070220 Passo Fundo, Brazil; Thaines & Bodah Ctr Educ & Dev, 840 South Meadowlark Lane, Othello, WA 99344 USA; Yakima Valley Coll, Workforce Educ & Appl Baccalaureate Programs, South 16th Ave & Nob Hill Blvd, Yakima, WA 98902 USA; Univ Vale Rio dos Sinos, Dept Architecture & Urbanism, UNISINOS, BR-93022750 Sao Leopoldo, Brazil; Univ Ilorin, Dept Agr & Biosyst Engn, PMB 1515, Ilorin 240103, Nigeria; Kyungpook Natl Univ, Dept Agr Civil Engn, Daegu 41566, South Korea | Oliveira, Marcos/A-8571-2018; Pinto, Diana/D-5446-2015; Neckel, Alcindo/AAN-4623-2020; Adelodun, Bashir/O-2941-2018; Dal Moro, Leila/ABA-6444-2020; Mores, Giana/K-8165-2015; de Vargas Mores, Giana/K-8165-2015 | 58024364500; 58296558800; 57195677095; 56695231400; 56586983300; 58074369100; 57315020100; 57193774482; 56973887600 | msilva@cuc.edu.co;gabriela.ovalenca@gmail.com;dpinto3@cuc.edu.co;leila.moro@atitus.edu.br;bbodah@yvcc.edu;giana.mores@atitus.edu.br;julian.grub@gmail.com;adbash2008@gmail.com;alcindo.neckel@atitus.edu.br; | SUSTAINABILITY | SUSTAINABILITY-BASEL | 2071-1050 | 15 | 10 | SCIE;SSCI | ENVIRONMENTAL SCIENCES;ENVIRONMENTAL STUDIES;GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY | 2023 | 3.3 | 36.0 | 0.26 | 2025-06-25 | 3 | 2 | rare carbon compounds; spontaneous coal combustion; multi-analytical approach; sustainable macroscale | SPONTANEOUS COMBUSTION; GASEOUS EMISSIONS; WASTE; ULTRAFINE; NANOPARTICLES; GEOCHEMISTRY; SAMPLES; PLANTS; FIRES; SOILS | multi-analytical approach; rare carbon compounds; spontaneous coal combustion; sustainable macroscale | chemical compound; coal combustion; coal mining; environmental impact; extraction method; public health | English | 2023 | 2023-05-22 | 10.3390/su15108361 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | ○ | Article | Nitrogen Fertilization Causes Changes in Agricultural Characteristics and Gas Emissions in Rice Field | Rice is a source of food for the majority of the global population. Currently, the rice yield is declining owing to extreme climate change. Farmers use nitrogen fertilizers to increase the yield; however, excessive nitrogen fertilizer application has a negative impact on plants and the environment. Nitrogen fertilizer is necessary for the growth of rice, but it is an important cause of environ-mental pollution. Carbon monoxide (CO) emitted from rice fields due to nitrogen fertilizer reacts with greenhouse gases such as carbon dioxide or methane, affecting global warming. Although CO does not directly affect global warming, it is a gas that needs attention because it reacts with various other gases. In this study, a chamber was designed and manufactured to collect the CO emitted from the paddy field after nitrogen fertilizer application in 2021 and 2022. In paddy fields, nitrogen fertilizer treatment affected the pH, EC, and soil temperature, and affected various agricultural traits. Various agricultural characteristics and the number of spikes, number of tillers, and chlorophyll content increased with nitrogen fertilizer application, whereas the amylose content decreased. Adequate nitrogen fertilizer should be applied to increase the rice yield; however, excessive nitrogen fertilizer application has a serious negative effect on grain quality and can accelerate global warming by releasing CO from paddy fields. The appropriate application of nitrogen fertilizer can have a positive effect on farmers by increasing yield. However, caution should be exercised in the application of excessive nitrogen fertilizers, as excessive nitrogen fertilizers increase the emission of CO, which affects greenhouse gases. | Park, Jae-Ryoung; Jang, Yoon-Hee; Kim, Eun-Gyeong; Lee, Gang-Seob; Kim, Kyung-Min | Rural Dev Adm, Natl Inst Crop Sci, Crop Breeding Div, Wonju 55365, South Korea; Kyungpook Natl Univ, Coastal Agr Res Inst, Daegu 41566, South Korea; Kyungpook Natl Univ, Dept Appl Biosci, Daegu 41566, South Korea; Rural Dev Adm, Natl Acad Agr Sci, Biosafety Div, Jeonju 54874, South Korea | ; Kim, Kyung-Min Kim/C-7007-2014 | 57211205505; 57219901992; 57221496070; 25927158200; 34868260300 | kkm@knu.ac.kr; | SUSTAINABILITY | SUSTAINABILITY-BASEL | 2071-1050 | 15 | 4 | SCIE;SSCI | ENVIRONMENTAL SCIENCES;ENVIRONMENTAL STUDIES;GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY | 2023 | 3.3 | 36.0 | 2.99 | 2025-06-25 | 21 | 23 | grain characteristic; grain quality; CO; gas; yield | USE EFFICIENCY; METHANE EMISSION; GREENHOUSE GASES; GRAIN QUALITY; PADDY FIELD; YIELD; SOIL; CULTIVATION; GROWTH; STRAW | CO; gas; grain characteristic; grain quality; yield | carbon dioxide; carbon monoxide; crop plant; crop yield; fertilizer application; global warming; greenhouse gas; growth rate; paddy field; soil nitrogen | English | 2023 | 2023-02 | 10.3390/su15043336 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | ○ | Article | Optimization, Characterization, and Biological Applications of Silver Nanoparticles Synthesized Using Essential Oil of Aerial Part of Laggera tomentosa | Biological synthesis of silver nanoparticles (AgNPs) is a green, simple, cost-effective, time-efficient, and single-step method. This study mainly focused on the synthesis of silver nanoparticles (AgNPs) using essential oil of Laggera tomentosa (LTEO) and investigates their potential applications. Ultraviolet-Visible (UV-Vis) result showed the characteristic Surface Plasmon Resonance (SPR) peak of LTEO-AgNPs at 420 nm. Fourier transform infrared (FT-IR) spectroscopy indicated the functional groups present in LTEO and LTEO-AgNPs. Scanning electron microscope (SEM) image depicted the synthesized AgNPs mainly has spherical shapes with average nanoparticles size 89.59 +/- 5.14 nm. Energy dispersive X-ray (EDX) peak at 3.0 keV showed the presence of Ag element in LTEO-AgNPs. The X-ray diffraction (XRD) peaks at 38 degrees, 44 degrees and 67 degrees are assigned to (111), (200), and (220), respectively which displays the crystal nature of LTEO-AgNPs. The average particle size and zeta potential of LTEO-AgNPs were determined as 94.98 nm and -49.6 mV, respectively. LTEO-AgNPs were stable for six months against aggregation at room temperature. LTEO-AgNPs solutions exhibited potential activities for the treatment of some pathogenic bacteria species, agricultural productivity growth, determination of metallic ions, and catalytic reduction. This study is the first work to report nanoparticles synthesis using L. tomentosa extracts and evaluate their potential applications. | Gonfa, Yilma Hunde; Gelagle, Abiy Abebe; Hailegnaw, Bekele; Kabeto, Samuel Abicho; Workeneh, Getachew Adam; Tessema, Fekade Beshah; Tadesse, Mesfin Getachew; Wabaidur, Saikh M.; Dahlous, Kholood A.; Abou Fayssal, Sami; Kumar, Pankaj; Adelodun, Bashir; Bachheti, Archana; Bachheti, Rakesh Kumar | Addis Ababa Sci & Technol Univ, Coll Appl Sci, Dept Ind Chem, POB 16417, Addis Ababa, Ethiopia; Addis Ababa Sci & Technol Univ, Nanotechnol Ctr Excellence, POB 16417, Addis Ababa, Ethiopia; Ethiopian Publ Hlth Inst, POB 1242, Addis Ababa, Ethiopia; Johannes Kepeler Univ, Inst Phys Chem, A-4040 Linz, Austria; Johannes Kepeler Univ, Linz Inst Organ Solar Cells, A-4040 Linz, Austria; King Saud Univ, Coll Sci, Dept Chem, Riyadh 11451, Saudi Arabia; Univ Forestry, Fac Agron, Dept Agron, 10 Kliment Ohridski Blvd, Sofia 1797, Bulgaria; Lebanese Univ, Fac Agr, Dept Plant Prod, Beirut, Lebanon; Gurukula Kangri Deemed Univ, Dept Zool & Environm Sci, Agroecol & Pollut Res Lab, Haridwar 249404, India; Univ Ilorin, Dept Agr & Biosyst Engn, Ilorin 240003, Nigeria; Kyungpook Natl Univ, Dept Agr Civil Engn, Daegu 41566, South Korea | wabaidur, Saikh/Z-1450-2019; Beshah Tessema, Fekade/KIC-7381-2024; Tessema, Fekade Beshah/KIC-7381-2024; Bachheti, Rakesh/AAS-1513-2020; Abou Fayssal, Sami/ABF-6226-2020; Kumar, Pankaj/AAF-2231-2019; Adelodun, Bashir/O-2941-2018; bachheti, Archana/N-5749-2017 | 57223317433; 56503397200; 56626104100; 58055618400; 58056163200; 57934249700; 57223331167; 24336563700; 57189225030; 57218598581; 57281192700; 57193774482; 55437052500; 36623425100 | rkbachheti@gmail.com; | SUSTAINABILITY | SUSTAINABILITY-BASEL | 2071-1050 | 15 | 1 | SCIE;SSCI | ENVIRONMENTAL SCIENCES;ENVIRONMENTAL STUDIES;GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY | 2023 | 3.3 | 36.0 | 3.04 | 2025-06-25 | 13 | 23 | phytochemicals; green nanoparticles; medicinal plants; AgNPs; biological applications | GREEN SYNTHESIS; CHEMICAL-COMPOSITION; ANTIOXIDANT ACTIVITY; CATALYTIC-REDUCTION; ANTIBACTERIAL; BIOSYNTHESIS; CONSTITUENTS; NITROPHENOLS; EXTRACT; DYES | AgNPs; biological applications; green nanoparticles; medicinal plants; phytochemicals | biological analysis; essential oil; medicinal plant; nanoparticle; phytochemistry | English | 2023 | 2023-01 | 10.3390/su15010797 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | ○ | Article | Performance Improvement of Machine Learning Model Using Autoencoder to Predict Demolition Waste Generation Rate | Owing to the rapid increase in construction and demolition (C&D) waste, the information of waste generation (WG) has been advantageously utilized as a strategy for C&D waste management. Recently, artificial intelligence (AI) has been strategically employed to obtain accurate WG information. Thus, this study aimed to manage demolition waste (DW) by combining three algorithms: artificial neural network (multilayer perceptron) (ANN-MLP), support vector regression (SVR), and random forest (RF) with an autoencoder (AE) to develop and test hybrid machine learning (ML) models. As a result of this study, AE technology significantly improved the performance of the ANN model. Especially, the performance of AE (25 features)-ANN model was superior to that of other non-hybrid and hybrid models. Compared to the non-hybrid ANN model, the performance of AE (25 features)-ANN model improved by 49%, 27%, 49%, and 22% in terms of the MAE, RMSE, R-2, and R, respectively. The hybrid model using ANN and AE proposed in this study showed useful results to improve the performance of the DWGR ML model. Therefore, this method is considered a novel and advantageous approach for developing a DWGR ML model. Furthermore, it can be used to develop AI models for improving performance in various fields. | Cha, Gi-Wook; Hong, Won-Hwa; Kim, Young-Chan | Kyungpook Natl Univ, Sch Sci & Technol Accelerat Engn, Daegu 41566, South Korea; Kyungpook Natl Univ, Sch Architectural Civil Environm & Energy Engn, Daegu 41566, South Korea; Dongguk Univ, Div Smart Safety Engn, Wise Campus,123 Dongdae Ro, Gyeongju 38066, South Korea | 55754413300; 7401527968; 56463201400 | yyoungchani@gmail.com; | SUSTAINABILITY | SUSTAINABILITY-BASEL | 2071-1050 | 15 | 4 | SCIE;SSCI | ENVIRONMENTAL SCIENCES;ENVIRONMENTAL STUDIES;GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY | 2023 | 3.3 | 36.0 | 2.38 | 2025-06-25 | 13 | 18 | artificial intelligence; autoencoder; demolition waste; hybrid model; machine learning; waste management | MUNICIPAL SOLID-WASTE; SUPPORT VECTOR MACHINE; MULTIPLE LINEAR-REGRESSION; NEURAL-NETWORK; CONSTRUCTION; HYBRID; CLASSIFICATION; MANAGEMENT; ALGORITHMS; CHINA | artificial intelligence; autoencoder; demolition waste; hybrid model; machine learning; waste management | artificial intelligence; artificial neural network; machine learning; performance assessment; regression analysis; waste management | English | 2023 | 2023-02 | 10.3390/su15043691 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | ○ | Article | Predicting Generation of Different Demolition Waste Types Using Simple Artificial Neural Networks | In South Korea, demolition waste (DW) management has become increasingly significant owing to the rising number of old buildings. Effective DW management requires an efficient approach that accurately quantifies and predicts the generation of DW (DWG) of various types, which necessitates access to the required information or technology capable of achieving this. Hence, we developed an artificial intelligence-based model that predicts the generation of ten DW types, specifically from buildings in redevelopment areas. We used an artificial neural network algorithm with = 2.5, verifying them as excellent models. Moreover, Shapley additive explanations analysis revealed that DWG was most impacted by the floor area for all DW types, with a positive correlation with DWG. Conversely, other factors showed either a positive or negative correlation with DWG, depending on the DW type. The study findings may assist demolition companies and local governments in making informed decisions for efficient DW management and resource allocation by accurately predicting the generation of various types of DW. | Cha, Gi-Wook; Park, Choon-Wook; Kim, Young-Chan; Moon, Hyeun Jun | Kyungpook Natl Univ, Sch Sci & Technol Accelerat Engn, Daegu 41566, South Korea; Kyungpook Natl Univ, Ind Acad Cooperat Fdn, Daegu 41566, South Korea; Dongguk Univ Wise Campus, Div Smart Safety Engn, 123 Dongdae Ro, Gyeongju 38066, South Korea; Dankook Univ, Dept Architectural Engn, Yongin 16890, South Korea | 55754413300; 56181530400; 56463201400; 24559146700 | cgwgnr@gmail.com;pcw2379@knu.ac.kr;yyoungchani@gmail.com;hmoon@dankook.ac.kr; | SUSTAINABILITY | SUSTAINABILITY-BASEL | 2071-1050 | 15 | 23 | SCIE;SSCI | ENVIRONMENTAL SCIENCES;ENVIRONMENTAL STUDIES;GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY | 2023 | 3.3 | 36.0 | 0.53 | 2025-06-25 | 4 | 4 | waste management; demolition waste generation; machine learning; artificial neural network; SHAP analysis | CONSTRUCTION WASTE; MANAGEMENT; MODEL; PERFORMANCE; ALGORITHMS; REGRESSION; SYSTEM | artificial neural network; demolition waste generation; machine learning; SHAP analysis; waste management | South Korea; algorithm; artificial neural network; demolition; machine learning; redevelopment; resource allocation; waste management | English | 2023 | 2023-12 | 10.3390/su152316245 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | ○ | Article | Predictive Control of a Wind Turbine Based on Neural Network-Based Wind Speed Estimation | Predictive control is an advanced control technique that performs well in various application domains. In this work, linearised control design models are first derived in state-space form from the full nonlinear model of the 5 MW Supergen (Sustainable Power Generation and Supply) exemplar wind turbine. Feedback model predictive controllers (FB-MPCs) and feedforward model predictive controllers (FF-MPCs) are subsequently designed based on these linearised models. A neural network (NN)-based wind speed estimation method is then employed to obtain the accurate wind estimation required for designing a FF-MPC. This method uses a LiDAR to be shared between multiple wind turbines in a cluster, i.e., one turbine is mounted with a LiDAR, and each of the remaining turbines from the cluster is provided with a NN-based estimator, which replaces the LiDAR, making the approach more economically viable. The resulting controllers are tested by application to the full nonlinear model (based on which the linearised models are derived). Moreover, the mismatch between the control design model and the simulation model (model-plant mismatch) allows the robustness of the controllers' design to be tested. Simulations are carried out at varying wind speeds to evaluate the robustness of the controllers by applying them to a full nonlinear 5 MW Matlab/SIMULINK model of the same exemplar Supergen wind turbine. Improved torque/speed plane tracking is achieved with a FF-MPC compared to a FB-MPC. Simulation results further demonstrate that the control performance is enhanced in both the time and frequency domains without increasing the wind turbine's control activity; that is, the controller's gain crossover frequency (or bandwidth) remains within the acceptable range, which is about 1 rad/s. | Routray, Abhinandan; Reddy, Yiza Srikanth; Hur, Sung-ho | Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu 41566, South Korea | ; ROUTRAY, ABHINANDAN/IVU-9009-2023 | 57200499011; 57225000837; 36455858700 | abhinandan@knu.ac.kr;srikanth_932@knu.ac.kr;shur@knu.ac.kr; | SUSTAINABILITY | SUSTAINABILITY-BASEL | 2071-1050 | 15 | 12 | SCIE;SSCI | ENVIRONMENTAL SCIENCES;ENVIRONMENTAL STUDIES;GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY | 2023 | 3.3 | 36.0 | 0.93 | 2025-06-25 | 7 | 7 | wind turbine control; model predictive control; feedforward control; wind speed estimation; neural network | POWER EXTRACTION; SYSTEMS | feedforward control; model predictive control; neural network; wind speed estimation; wind turbine control | estimation method; plane; simulation; wind turbine; wind velocity | English | 2023 | 2023-06 | 10.3390/su15129697 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | ○ | Article | Root-Layer Fungi Native to Four Volcanic Topographies on Conserved Ocean Islands: Another Clue to Facilitate Access to Newer Natural Microbial Resources in the Extreme Terrains | This study hypothesized that geographic segregation of certain extreme natures of the same kind could be an indicator of access to new natural microbial resources. Root-layer fungi and soil properties native to well-conserved volcanic topographies from two geographically segregated ocean volcanic islands beside the Korean Peninsula were analyzed. Four segregated sampling sites that represented the ocean volcanoes' unique natural characters (tuff layer, caldera, and two steep cliffs) were examined. A total of 1356 operational taxonomic units classified into 7 phyla and 196 genera were obtained. Soil analysis showed that the sand proportion varied from 32.0-57.4%, and silt, 39.4-64.8%. The tuff layer terrain was the only terrain classified as silt soil. Soil Corg contents ranged from 2.78-15.12%; TN, 0.159-0.843; salinity, 0.001-0.019; and pH, 5.0-7.4. The larger the island area, the less oceanic salinity inflow, but TN and Corg decreased, and pH increased. The Shannon diversity index varied from 4.81-5.23 and was higher at the larger or center of larger islands. As geographic segregation (distance) increased, the proportion of taxa commonly identified decreased. Thus, geographic isolation of certain natural features (e.g., volcanic islands) may be a preferential clue to accessing a broader range of potential microbial resources. | Park, Jong Myong; Kwak, Tae Won; Hong, Ji Won; You, Young-Hyun | Water Qual Res Inst, Waterworks Headquarters Incheon Metropolitan City, Incheon 21316, South Korea; Incheon Metropolitan City Inst Publ Hlth & Environ, Inchon 22320, South Korea; Med Convergence Mat Commercializat Ctr, Gyeongbuk TechnoPk, Gyeongbuk 38408, South Korea; Kyungpook Natl Univ, Dept Hydrogen & Renewable Energy, Daegu 41566, South Korea; Kyungpook Natl Univ, Adv Bioresource Res Ctr, Daegu 41566, South Korea; Natl Inst Biol Resources, Biol Resources Utilizat Div, Incheon 22689, South Korea | Park, Jong Myong/D-5535-2014 | 54382161000; 58567320900; 57201579963; 53868615500 | eveningwater@hanmail.net;teichi80@dbtp.or.kr;jwhong@knu.ac.kr;rocer2404@korea.kr; | SUSTAINABILITY | SUSTAINABILITY-BASEL | 2071-1050 | 15 | 17 | SCIE;SSCI | ENVIRONMENTAL SCIENCES;ENVIRONMENTAL STUDIES;GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY | 2023 | 3.3 | 36.0 | 0 | 2025-06-25 | 0 | 0 | extreme region sampling; geographical segregation; marine fungi; waterborne microbial resources; root-layer; soil analysis; volcanic ocean islands | ARBUSCULAR MYCORRHIZAL FUNGI; DIVERSITY; IDENTIFICATION; ENVIRONMENTS; BIOGEOGRAPHY; PHYLOGENY; SELECTION; ECOLOGY; PLANTS | extreme region sampling; geographical segregation; marine fungi; root-layer; soil analysis; volcanic ocean islands; waterborne microbial resources | Korea; fungus; salinity; soil fauna; terrain; topography | English | 2023 | 2023-09 | 10.3390/su151712824 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | ○ | Article | Soil Stabilization Using Zein Biopolymer | The characterization and analysis of the cementation properties of novel biopolymer binders in soils are essential for their potential application in geotechnical engineering. This study investigates the cementation effect of a novel zein biopolymer binder on sandy soils. Soil specimens are mixed with various contents of zein biopolymer ranging from 0 to 5%. The mechanical and microscopic characteristics of the treated specimens are evaluated using unconfined compression tests and scanning electron microscopy, respectively, after curing for 3, 7, and 28 days. The results show a consistent increase in compressive strength and elastic modulus of treated soils with increasing curing periods and biopolymer contents. A small amount (1%) of zein biopolymer increases soil strength and elasticity regardless of gradation. Additionally, the bonding force between the soil-zein biopolymer increases linearly with soil uniformity. Therefore, the application of zein biopolymer can be potentially used as a binder for fine- and coarse-grained soils in geotechnical engineering considering its stabilization and sustainability properties. | Babatunde, Quadri Olakunle; Byun, Yong-Hoon | Kyungpook Natl Univ, Sch Agr Civil & Bioind Engn, Daegu 41566, South Korea | Byun, Yong-Hoon/JKI-8441-2023 | 58102290600; 42761048000 | yhbyun@knu.ac.kr; | SUSTAINABILITY | SUSTAINABILITY-BASEL | 2071-1050 | 15 | 3 | SCIE;SSCI | ENVIRONMENTAL SCIENCES;ENVIRONMENTAL STUDIES;GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY | 2023 | 3.3 | 36.0 | 2.6 | 2025-06-25 | 20 | 20 | biopolymer; compressive strength; elastic modulus; soil stabilization; zein | BEHAVIOR; PROTEIN | biopolymer; compressive strength; elastic modulus; soil stabilization; zein | cementation; compressive strength; elastic modulus; geotechnical engineering; soil stabilization; soil strength | English | 2023 | 2023-02 | 10.3390/su15032075 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | Article | Automated, calibration-free quantification of cortical bone porosity and geometry in postmenopausal osteoporosis from ultrashort echo time MRI and deep learning | Background: Assessment of cortical bone porosity and geometry by imaging in vivo can provide useful information about bone quality that is independent of bone mineral density (BMD). Ultrashort echo time (UTE) MRI techniques of measuring cortical bone porosity and geometry have been extensively validated in preclinical studies and have recently been shown to detect impaired bone quality in vivo in patients with osteoporosis. However, these techniques rely on laborious image segmentation, which is clinically impractical. Additionally, UTE MRI porosity techniques typically require long scan times or external calibration samples and elaborate physics processing, which limit their translatability. To this end, the UTE MRI-derived Suppression Ratio has been proposed as a simple-to-calculate, reference-free biomarker of porosity which can be acquired in clinically feasible acquisition times. Purpose: To explore whether a deep learning method can automate cortical bone segmentation and the corresponding analysis of cortical bone imaging biomarkers, and to investigate the Suppression Ratio as a fast, simple, and reference-free biomarker of cortical bone porosity. Methods: In this retrospective study, a deep learning 2D U-Net was trained to segment the tibial cortex from 48 individual image sets comprised of 46 slices each, corresponding to 2208 training slices. Network performance was validated through an external test dataset comprised of 28 scans from 3 groups: (1) 10 healthy, young participants, (2) 9 postmenopausal, non-osteoporotic women, and (3) 9 postmenopausal, osteoporotic women. The accuracy of automated porosity and geometry quantifications were assessed with the coefficient of determination and the intraclass correlation coefficient (ICC). Furthermore, automated MRI biomarkers were compared between groups and to dual energy X-ray absorptiometry (DXA)- and peripheral quantitative CT (pQCT)-derived BMD. Additionally, the Suppression Ratio was compared to UTE porosity techniques based on calibration samples. Results: The deep learning model provided accurate labeling (Dice score 0.93, intersection-over-union 0.88) and similar results to manual segmentation in quantifying cortical porosity (R2 ≥ 0.97, ICC ≥ 0.98) and geometry (R2 ≥ 0.82, ICC ≥ 0.75) parameters in vivo. Furthermore, the Suppression Ratio was validated compared to established porosity protocols (R2 ≥ 0.78). Automated parameters detected age- and osteoporosis-related impairments in cortical bone porosity (P ≤ .002) and geometry (P values ranging from <0.001 to 0.08). Finally, automated porosity markers showed strong, inverse Pearson's correlations with BMD measured by pQCT (|R| ≥ 0.88) and DXA (|R| ≥ 0.76) in postmenopausal women, confirming that lower mineral density corresponds to greater porosity. Conclusion: This study demonstrated feasibility of a simple, automated, and ionizing-radiation-free protocol for quantifying cortical bone porosity and geometry in vivo from UTE MRI and deep learning. © 2023 Elsevier Inc. | Jones, Brandon C.; Wehrli, Felix W.; Kamona, Nada; Deshpande, Rajiv S.; Vu, Brian-Tinh Duc; Song, Hee Kwon; Lee, Hyunyeol; Grewal, Rasleen Kaur; Chan, Trevor Jackson; Witschey, Walter R.; MacLean, Matthew T.; Josselyn, Nicholas J.; Iyer, Srikant Kamesh; al Mukaddam, Mona; Snyder, Peter J.; Rajapakse, Chamith S. | Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 1 Founders Building, 3400 Spruce St, Philadelphia, 19104, PA, United States, Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, St, Philadelphia, 19104, PA, United States; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 1 Founders Building, 3400 Spruce St, Philadelphia, 19104, PA, United States; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 1 Founders Building, 3400 Spruce St, Philadelphia, 19104, PA, United States, Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, St, Philadelphia, 19104, PA, United States; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 1 Founders Building, 3400 Spruce St, Philadelphia, 19104, PA, United States, Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, St, Philadelphia, 19104, PA, United States; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 1 Founders Building, 3400 Spruce St, Philadelphia, 19104, PA, United States, Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, St, Philadelphia, 19104, PA, United States; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 1 Founders Building, 3400 Spruce St, Philadelphia, 19104, PA, United States; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 1 Founders Building, 3400 Spruce St, Philadelphia, 19104, PA, United States, School of Electronics Engineering, Kyungpook National University, 80 Daehakro, Bukgu, Daegu, 41566, South Korea; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 1 Founders Building, 3400 Spruce St, Philadelphia, 19104, PA, United States; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 1 Founders Building, 3400 Spruce St, Philadelphia, 19104, PA, United States, Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, St, Philadelphia, 19104, PA, United States; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 1 Founders Building, 3400 Spruce St, Philadelphia, 19104, PA, United States; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 1 Founders Building, 3400 Spruce St, Philadelphia, 19104, PA, United States; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 1 Founders Building, 3400 Spruce St, Philadelphia, 19104, PA, United States, Department of Data Science, Worcester Polytechnic Institute, 100 Institute Road, Worcester, 01609, MA, United States; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 1 Founders Building, 3400 Spruce St, Philadelphia, 19104, PA, United States; Department of Medicine, Division of Endocrinology, Perelman School of Medicine, University of Pennsylvania, Perelman Center for Advanced Medicine, 3400 Civic Center Boulevard, Philadelphia, 19104, PA, United States; Department of Medicine, Division of Endocrinology, Perelman School of Medicine, University of Pennsylvania, Perelman Center for Advanced Medicine, 3400 Civic Center Boulevard, Philadelphia, 19104, PA, United States; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 1 Founders Building, 3400 Spruce St, Philadelphia, 19104, PA, United States | 57209659335; 7007158575; 57208866181; 56938050100; 58159717700; 55663898800; 57193268117; 58160027300; 57222481955; 15761650600; 57221555856; 57215503467; 55123155800; 55573617100; 55882540600; 22635351400 | bcjones@seas.upenn.edu; | Bone | BONE | 8756-3282 | 1873-2763 | 171 | SCIE | ENDOCRINOLOGY & METABOLISM | 2023 | 3.5 | 36.3 | 0.78 | 2025-06-25 | 4 | Cortical bone; Deep learning; MRI; Osteoporosis; Porosity; Suppression Ratio | Bone Density; Cortical Bone; Deep Learning; Female; Humans; Magnetic Resonance Imaging; Osteoporosis; Osteoporosis, Postmenopausal; Porosity; Retrospective Studies; biological marker; water; adult; aged; Article; artificial neural network; autoanalysis; bone density; bone microarchitecture; bone quality; clinical article; computer assisted tomography; controlled study; cortical bone; cortical thickness (bone); deep learning; female; human; image segmentation; male; nuclear magnetic resonance imaging; peripheral quantitative computed tomography; porosity; postmenopause; postmenopause osteoporosis; quantitative analysis; radiological parameters; retrospective study; suppression ratio; ultrashort echo time nuclear magnetic resonance imaging; cortical bone; diagnostic imaging; nuclear magnetic resonance imaging; osteoporosis; porosity; procedures | English | Final | 2023 | 10.1016/j.bone.2023.116743 | 바로가기 | 바로가기 | 바로가기 | ||||||||
| ○ | ○ | Article | Six-minute, in vivo MRI quantification of proximal femur trabecular bone 3D microstructure | Background: Assessment of proximal femur trabecular bone microstructure in vivo by magnetic resonance imaging has recently been validated for acquiring information independent of bone mineral density in osteoporotic patients. However, the requisite signal-to-noise ratio (SNR) and resolution for interrogation of the trabecular microstructure at this anatomical location prolongs the scan duration and renders the imaging protocol clinically infeasible. Parallel imaging and compressed sensing (PICS) techniques can reduce the scan duration of the imaging protocol without substantially compromising image quality. The present work investigates the limits of acceleration for a commonly used PICS technique, l1-ESPIRiT, for the purpose of quantifying measures of trabecular bone microarchitecture. Based on a desired error tolerance, a six-minute, prospectively accelerated variant of the imaging protocol was developed and assessed for intersession reproducibility and agreement with the longer reference scan.Purpose: To investigate the limits of acceleration for MRI-based trabecular bone quantification by parallel imaging and compressed sensing reconstruction, and to develop a prototypical imaging protocol for assessing the proximal femur microstructure in a clinically practical scan time.Methods: Healthy participants (n = 11) were scanned by a 3D balanced steady-state free precession (bSSFP) sequence satisfying the Nyquist criterion with a scan duration of about 18 min. The raw data were retrospectively undersampled and reconstructed to mimic various acceleration factors ranging from 2 to 6. Trabecular volumesof-interest in four major femoral regions (greater trochanter, intertrochanteric region, femoral neck, and femoral head) were analyzed and six relevant measures of trabecular bone microarchitecture (bone volume fraction, surface-to-curve ratio, erosion index, elastic modulus, trabecular thickness, plates-to-rods ratio) were obtained for images of all accelerations. To assess agreement, median percent error and intraclass correlation coefficients (ICCs) were computed using the fully-sampled data as reference. Based on this analysis, a prospectively 3-fold accelerated sequence with a duration of about 6 min was developed and the analysis was repeated.Results: A prospective acceleration factor of 3 demonstrated comparable performance in reproducibility and absolute agreement to the fully-sampled scan. The median CoV over all image-derived metrics was generally 0.70. Also, measurements from prospectively 3-fold accelerated scans demonstrated in general median percent errors of 0.70.Conclusion: The present work proposes a method to make in vivo quantitative assessment of proximal femur trabecular microstructure with a clinically practical scan duration of about 6 min. | Vu, Brian-Tinh Duc; Jones, Brandon C.; Lee, Hyunyeol; Kamona, Nada; Deshpande, Rajiv S.; Wehrli, Felix W.; Rajapakse, Chamith S. | Univ Penn, Perelman Sch Med, Dept Radiol, 1 Founders Bldg,3400 Spruce St, Philadelphia, PA 19104 USA; Univ Penn, Sch Engn & Appl Sci, Dept Bioengn, 210 South 33rd St, Philadelphia, PA 19104 USA; Kyungpook Natl Univ, Sch Elect Engn, 80 Daehakro, Daegu 41566, South Korea; Univ Penn, Perelman Sch Med, Dept Orthopaed Surg, 3400 Spruce St, Philadelphia, PA 19104 USA | 58159717700; 57209659335; 57193268117; 57208866181; 56938050100; 7007158575; 22635351400 | bdvu@seas.upenn.edu; | BONE | BONE | 8756-3282 | 1873-2763 | 177 | SCIE | ENDOCRINOLOGY & METABOLISM | 2023 | 3.5 | 36.3 | 0.39 | 2025-06-25 | 1 | 2 | Osteoporosis; Proximal femur; MRI; Trabecular bone; Trabecular microstructure; Parallel imaging and compressed sensing | SPATIAL-RESOLUTION REGIME; TOPOLOGICAL ANALYSIS; PULSE SEQUENCE; FINITE-ELEMENT; HIP FRACTURE; OSTEOPOROSIS; ECHO; VOLUME; MICROARCHITECTURE; REPRODUCIBILITY | MRI; Osteoporosis; Parallel imaging and compressed sensing; Proximal femur; Trabecular bone; Trabecular microstructure | adult; Article; bone microarchitecture; bone volume fraction; controlled study; erosion index; female; femoral head; femoral neck; greater trochanter; human; human experiment; image reconstruction; in vivo study; male; measurement error; musculoskeletal system parameters; normal human; nuclear magnetic resonance imaging; parallel imaging and compressed sensing; plates to rods ratio; proximal femur; quantitative analysis; reconstruction algorithm; reproducibility; retrospective study; surface to curve ratio; trabecular bone; trabecular thickness; Young modulus | English | 2023 | 2023-12 | 10.1016/j.bone.2023.116900 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | ○ | Article | A classification of cyclic Ricci semi-symmetric hypersurfaces in the complex hyperbolic quadric | In this paper, the notion of cyclic Ricci semi-symmetric real hypersurfaces in the complex hyperbolic quadric Qm* = SO02,m/SO2SOm is introduced. Under the assumption of singular normal vector field N, we have two cases, that is, normal vector field N is either %-principal or %-isotropic. Even though, in the case of %-principal, we proved that there does not exist a real hypersurface in the complex hyperbolic quadric Qm* = SO02,m/SO2SOm satisfying the cyclic Ricci semi-symmetric. But on the other case, we proved existence of real hypersurfaces with the same condition. | Kim, Gyu Jong; Suh, Young Jin; Woo, Changhwa | Woosuk Univ, Dept Math Educ, Jeonju 55338, Jeollabuk Do, South Korea; Kyungpook Natl Univ, Dept Math, Daegu 41566, South Korea; Kyungpook Natl Univ, RIRCM, Daegu 41566, South Korea; Pukyong Natl Univ, Dept Appl Math, Busan 48547, South Korea | Kim, Ik-Sang/J-5425-2012 | 56204082600; 7202260479; 56075678000 | hb2107@naver.com;yjsuh@knu.ac.kr;legalgwch@pknu.ac.kr; | FILOMAT | FILOMAT | 0354-5180 | 37 | 17 | SCIE | MATHEMATICS, APPLIED;MATHEMATICS | 2023 | 0.8 | 36.4 | 0.4 | 2025-06-25 | 1 | 1 | Cyclic Ricci semi-symmetric; %-isotropic; %-principal; Ka?hler structure; Complex conjugation; Complex hyperbolic quadric | REAL HYPERSURFACES; EINSTEIN HYPERSURFACES | A-isotropic; A-principal; Complex conjugation; Complex hyperbolic quadric; Cyclic Ricci semi-symmetric; Kähler structure | English | 2023 | 2023 | 10.2298/fil2317671k | 바로가기 | 바로가기 | 바로가기 | 바로가기 |
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