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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
Article Tunable Phase-Engineered Polyhydroxybutyrate Fibrous Mat: An Energy Autonomous, Temperature-Responsive Platform for Wearable Application Biodegradable and biocompatible organic polymers play a pivotal role in designing the next generation of wearable smart electronics, reducing electronic waste and carbon emissions while promoting a toxin-free environment. Herein, an electrospun fibrous polyhydroxybutyrate (PHB) organic mat-based, energy-autonomous, skin-adaptable temperature sensor is developed, eliminating the need for additional storage or circuit components. The electrospun PHB mat exhibits an enhanced β-crystalline phase with a β/α phase ratio of 3.96 using 1,1,1,3,3,3-hexafluoro-2-propanol as a solvent. Solvent and film processing techniques were tailored to obtain high-quality PHB films with the desired thickness, flexibility, and phase conversion. The PHB mat-based temperature sensor (PHB–TS) exhibits a negative temperature coefficient of resistance, with a sensitivity of − 2.94%/°C and a thermistor constant of 4676 K, outperforming pure metals and carbon-based sensors. A triboelectric nanogenerator (TENG) based on the enhanced β-phase PHB mat was fabricated, delivering an output of 156 V, 0.43 µA, and a power density of 1.71 mW/m2. The energy-autonomous PHB–TS was attached to the index finger to monitor temperature changes upon contact with hot and cold surfaces, demonstrating good reliability and endurance. © Donghua University, Shanghai, China 2025. Sharma, Kusum; Alluri, Nagamalleswara Rao; Prasanna, Asokan Poorani Sathya; Perumalsamy, Muthukumar; Saj, Anandhan Ayyappan; Ryu, Yeonkyeong; Lee, Ju-Hyuck; Park, Kwi-Il; Kim, Sang-Jae Nanomaterials and System Lab, Major of Mechatronics Engineering, Faculty of Applied Energy System, Jeju National University, Jeju, 63243, South Korea; Research Institute of Automotive Parts and Materials, Kyungpook National University, Buk-Gu, Daegu, 41566, South Korea, Department of Materials Science and Metallurgical Engineering, Kyungpook National University, Buk-Ku, Daegu, 41566, South Korea; Nanomaterials and System Lab, Major of Mechatronics Engineering, Faculty of Applied Energy System, Jeju National University, Jeju, 63243, South Korea; Nanomaterials and System Lab, Major of Mechatronics Engineering, Faculty of Applied Energy System, Jeju National University, Jeju, 63243, South Korea; Nanomaterials and System Lab, Major of Mechatronics Engineering, Faculty of Applied Energy System, Jeju National University, Jeju, 63243, South Korea; Department of Energy Science and Engineering, Daegu Gyeongbuk Institute of Science and Technology, 333 Techno Jungang-Daero, Dalseong-Gun, Daegu, 42988, South Korea; Department of Energy Science and Engineering, Daegu Gyeongbuk Institute of Science and Technology, 333 Techno Jungang-Daero, Dalseong-Gun, Daegu, 42988, South Korea; Research Institute of Automotive Parts and Materials, Kyungpook National University, Buk-Gu, Daegu, 41566, South Korea, Department of Materials Science and Metallurgical Engineering, Kyungpook National University, Buk-Ku, Daegu, 41566, South Korea; Nanomaterials and System Lab, Major of Mechatronics Engineering, Faculty of Applied Energy System, Jeju National University, Jeju, 63243, South Korea, Nanomaterials and System Lab, Major of Mechanical System Engineering, College of Engineering, Jeju National University, Jeju, 63243, South Korea, Research Institute of Energy New Industry (RINEI), Jeju National University, Jeju, 63243, South Korea, Green Hydrogen Glocal Leading Research Center (gH2-RC), Jeju National University, Jeju, 63243, South Korea 59821004500; 56527074500; 57949257800; 57222400060; 59254770800; 59078796000; 55280073900; 35280874200; 22944436400 kimsangj@jejunu.ac.kr; Advanced Fiber Materials ADV FIBER MATER 2524-7921 2524-793X SCIE MATERIALS SCIENCE, MULTIDISCIPLINARY;MATERIALS SCIENCE, TEXTILES 2024 21.3 1.6 0 2025-06-11 0 Electrospinning; Polyhydroxybutyrate; Self-powered sensor; Thermistor; Triboelectric nanogenerator Elastomers; Electrospuns; Energy; Nanogenerators; Organics; Polyhydroxybutyrate; Self-powered; Self-powered sensor; Temperature-responsive; Triboelectric nanogenerator; Tunables; Electrospinning English Article in press 2025 10.1007/s42765-025-00555-4 바로가기 바로가기 바로가기
Meeting Abstract Additional efficacy and safety outcomes and an exploratory analysis of the impact of pathological complete response (pCR) on long-term outcomes from NIAGARA. Galsky, Matthew D.; Van Der Heijden, Michiel Simon; Catto, James W. F.; Al-Ahmadie, Hikmat; Meeks, Joshua J.; Nishiyama, Hiroyuki; Drakaki, Alexandra; Vu, Toan Quang; Antonuzzo, Lorenzo; Atduev, Vagif; Kann, Ariel Galapo; Kim, Tae-Hwan; Font Pous, Albert; Chang, Chao-Hsiang; De Wit, Ronald; Wojtukiewicz, Marek Z.; Xin, Wenjing; Donegan, Sarah E.; Hois, Stephan; Powles, Thomas Icahn Sch Med Mt Sinai, New York, NY USA; Netherlands Canc Inst, Dept Med Oncol, Amsterdam, Netherlands; Univ Sheffield, Div Clin Med, Sheffield, England; Mem Sloan Kettering Canc Ctr, Dept Pathol & Lab Med, New York, NY USA; Northwestern Univ, Feinberg Sch Med, Dept Urol Biochem & Mol Genet, Chicago, IL USA; Univ Tsukuba, Fac Med, Dept Urol, Tsukuba, Ibaraki, Japan; UCLA, Div Hematol Oncol, David Geffen Sch Med, Los Angeles, CA USA; Vietnam Natl Canc Hosp, Dept Internal Med 3, Hanoi, Vietnam; Univ Florence, Dept Expt & Clin Med, Florence, Italy; Careggi Univ Hosp, Med Oncol Unit, Florence, Italy; Fed Med Biol Agcy, Volga Dist Med Ctr, Nizhnii Novgorod, Russia; Hosp Alemao Oswaldo Cruz, Clin Oncol, Sao Paulo, Brazil; Kyungpook Natl Univ, Dept Urol, Sch Med, Daegu, South Korea; Hosp Univ Germans Trias i Pujol, Inst Catala Oncol, Med Oncol Dept, Badalona Appl Res Grp Oncol BARGO, Barcelona, Spain; China Med Univ & Hosp, Dept Urol, Taichung, Taiwan; China Med Univ & Hosp, Sch Med, Taichung, Taiwan; Erasmus MC, Dept Med Oncol, Div Lead Genito Urinary Clin Res, Rotterdam, Netherlands; Maria Sklodowska Curie Bialystok Oncol Ctr, Bialystok, Poland; AstraZeneca, Gothenburg, Sweden; AstraZeneca, Gaithersburg, MD USA; Queen Mary Univ London, Barts Canc Inst, London, England Powles, Thomas/AER-4585-2022 JOURNAL OF CLINICAL ONCOLOGY J CLIN ONCOL 0732-183X 1527-7755 43 5_SUPPL SCIE ONCOLOGY 2024 41.9 1.7 0 English 2025 2025-02-10 10.1200/jco.2025.43.5_suppl.659 바로가기 바로가기 바로가기
Article AI model using CT-based imaging biomarkers to predict hepatocellular carcinoma in patients with chronic hepatitis B Background & Aims: Various hepatocellular carcinoma (HCC) prediction models have been proposed for patients with chronic hepatitis B (CHB) using clinical variables. We aimed to develop an artificial intelligence (AI)-based HCC prediction model by incorporating imaging biomarkers derived from abdominal computed tomography (CT) images along with clinical variables. Methods: An AI prediction model employing a gradient-boosting machine algorithm was developed utilizing imaging biomarkers extracted by DeepFore, a deep learning-based CT auto-segmentation software. The derivation cohort (n = 5,585) was randomly divided into the training and internal validation sets at a 3:1 ratio. The external validation cohort included 2,883 patients. Six imaging biomarkers (i.e. abdominal visceral fat-total fat volume ratio, total fat-trunk volume ratio, spleen volume, liver volume, liver-spleen Hounsfield unit ratio, and muscle Hounsfield unit) and eight clinical variables were selected as the main variables of our model, PLAN-B-DF. Results: In the internal validation set (median follow-up duration = 7.4 years), PLAN-B-DF demonstrated an excellent predictive performance with a c-index of 0.91 and good calibration function (p = 0.78 by the Hosmer-Lemeshow test). In the external validation cohort (median follow-up duration = 4.6 years), PLAN-B-DF showed a significantly better discrimination function compared to previous models, including PLAN-B, PAGE-B, modified PAGE-B, and CU-HCC (c-index, 0.89 vs. 0.65-0.78; all p <0.001), and maintained a good calibration function (p = 0.42 by the Hosmer-Lemeshow test). When patients were classified into four groups according to the risk probability calculated by PLAN-B-DF, the 10-year cumulative HCC incidence was 0.0%, 0.4%, 16.0%, and 46.2% in the minimal-, low-, intermediate-, and high-risk groups, respectively. Conclusion: This AI prediction model, integrating deep learning-based auto-segmentation of CT images, offers improved performance in predicting HCC risk among patients with CHB compared to previous models. (c) 2024 European Association for the Study of the Liver. Published by Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies. Shin, Hyunjae; Hur, Moon Haeng; Song, Byeong Geun; Park, Soo Young; Kim, Gi-Ae; Choi, Gwanghyeon; Nam, Joon Yeul; Kim, Minseok Albert; Park, Youngsu; Ko, Yunmi; Park, Jeayeon; Lee, Han Ah; Chung, Sung Won; Choi, Na Ryung; Park, Min Kyung; Bin Lee, Yun; Sinn, Dong Hyun; Kim, Seung Up; Kim, Hwi Young; Kim, Jong-Min; Park, Sang Joon; Lee, Hyung-Chul; Lee, Dong Ho; Chung, Jin Wook; Kim, Yoon Jun; Yoon, Jung-Hwan; Lee, Jeong-Hoon Natl Canc Ctr, Ctr Liver & Pancreatobiliary Canc, Goyang, Gyeonggi Do, South Korea; Seoul Natl Univ, Coll Med, Dept Internal Med, Seoul, South Korea; Seoul Natl Univ, Liver Res Inst, Coll Med, Seoul, South Korea; Sungkyunkwan Univ, Sch Med, Samsung Med Ctr, Dept Med, Seoul, South Korea; Kyungpook Natl Univ, Sch Med, Dept Internal Med, Daegu, South Korea; Kyung Hee Univ, Kyung Hee Univ Hosp, Coll Med, Dept Internal Med,Div Gastroenterol, Seoul, South Korea; Kyung Hee Univ, Kyung Hee Univ Hosp, Coll Med, Div Hepatol,Dept Internal Med, Seoul, South Korea; Seoul Natl Univ, Bundang Hosp, Coll Med, Dept Internal Med, Seoul, Gyeonggi Do, South Korea; Seoul HIM Clin, Seoul, South Korea; ABC Hosp, Dept Internal Med, Hwaseong, Gyeonggi Do, South Korea; Chung Ang Univ, Coll Med, Dept Internal Med, Seoul, South Korea; Univ Ulsan, Asan Liver Ctr, Asan Med Ctr, Coll Med,Div Gastroenterol, Seoul, South Korea; Ewha Womans Univ, Coll Med, Dept Internal Med, Seoul, South Korea; Yonsei Univ, Coll Med, Dept Internal Med, Seoul, South Korea; MedicalIP Co Ltd, AI Ctr, Seoul, South Korea; Seoul Natl Univ, Coll Med, Dept Radiol, Seoul, South Korea; Seoul Natl Univ, Coll Med, Dept Anesthesiol, Seoul, South Korea; Inocras Inc, San Diego, CA USA 57876628100; 57356094400; 57193706000; 57191674344; 55532175000; 55907580300; 57193006895; 57209749648; 59513226700; 58865712400; 57966528000; 57190980926; 57207769816; 57355247500; 57418519600; 57221073146; 23493891100; 59655481700; 56493773500; 58772023100; 57219637463; 55578791400; 57222878418; 57225955382; 59475297000; 59044884800; 55936232200 pindra@empal.com; JOURNAL OF HEPATOLOGY J HEPATOL 0168-8278 1600-0641 82 6 SCIE GASTROENTEROLOGY & HEPATOLOGY 2024 33 1.7 0 2025-05-07 1 2 radiologic biomarker; deep learning; visceral fat; myosteatosis; segmentation VISCERAL FAT; SCORING SYSTEM; RISK; LIVER; ADIPOSITY; OBESITY deep learning; myosteatosis; radiologic biomarker; segmentation; visceral fat Adult; Artificial Intelligence; Carcinoma, Hepatocellular; Deep Learning; Female; Hepatitis B, Chronic; Humans; Liver Neoplasms; Male; Middle Aged; Predictive Value of Tests; Tomography, X-Ray Computed; biological marker; adult; aged; algorithm; Article; artificial intelligence; benchmarking; calibration; chronic hepatitis B; cohort analysis; computer assisted tomography; controlled study; deep learning; female; follow up; high risk population; human; incidence; intra-abdominal fat; liver cell carcinoma; liver weight; machine learning; major clinical study; male; predictive model; probability; retrospective study; risk factor; segmentation algorithm; spleen; spleen size; artificial intelligence; complication; deep learning; diagnosis; diagnostic imaging; epidemiology; etiology; liver tumor; middle aged; predictive value; procedures; x-ray computed tomography English 2025 2025-06 10.1016/j.jhep.2024.12.029 바로가기 바로가기 바로가기 바로가기
Meeting Abstract Efficacy and safety of elebsiran and pegylated interferon alfa combination therapy versus pegylated interferon alfa in participants with chronic hepatitis B virus infection: follow-up results from the ongoing phase 2, randomized, open-label ENSURE study Jia, Jidong; Lin, Bingliang; Hu, Peng; Xie, Qing; Douglas, Mark; Lv, Fangfang; Tak, Won Young; Cao, Ke; Zhu, Chong; Wu, Yue; Chen, Xiaofei; Margolis, David; Zhu, Qing Capital Med Univ, Beijing Friendship Hosp, Beijing, Peoples R China; Sun Yat Sen Univ, Affiliated Hosp 3, Guangzhou, Peoples R China; Chongqing Med Univ, Affiliated Hosp 2, Affiliated Hosp 1, Chongqing, Peoples R China; Shanghai Jiaotong Univ, Ruijin Hosp, Sch Med, Shanghai, Peoples R China; Univ Sydney, Westmead Inst Med Res, Sydney, Australia; Westmead Hosp, Sydney, Australia; Zhejiang Univ, Sir Run Run Shaw Hosp, Sch Med, Hangzhou, Peoples R China; Kyungpook Natl Univ Hosp, Daegu, South Korea; Brii Biosci Beijing Co Ltd, Beijing, Peoples R China; Brii Biosci Inc, Durham, USA jia_jd@ccmu.edu.cn; JOURNAL OF HEPATOLOGY J HEPATOL 0168-8278 1600-0641 82 SCIE GASTROENTEROLOGY & HEPATOLOGY 2024 33 1.7 0 English 2025 2025-05 바로가기 바로가기
Meeting Abstract Long-term clinical outcomes across biopsy-confirmed steatotic liver disease categories: a multicenter prospective cohort study using merged data Kim, Won; Kim, Gi-Ae; Jang, Heejoon; Kim, Moon Young; Han, Seul Ki; Park, Jung Gil; Cho, Eun Young; Jeong, Jae Yoon; Park, Soo Young; Kim, Sang Gyune Seoul Natl Univ, Seoul Metropolitan Govt, Boramae Med Ctr, Dept Internal Med,Coll Med, Seoul, South Korea; Kyung Hee Univ Hosp, Seoul, South Korea; Seoul Natl Univ, Boramae Med Ctr, Seoul Metropolitan Govt, Seoul, South Korea; Yonsei Univ, Wonju Coll Med, Wonju, South Korea; Yeungnam Univ, Coll Med, Daegu, South Korea; Wonkwang Univ, Coll Med, Iksan, South Korea; Ewha Womans Univ, Seoul, South Korea; Kyungpook Natl Univ, Kyungpook Natl Univ Hosp, Daegu, South Korea; Soonchunhyang Univ, Soonchunhyang Univ Hosp Bucheon, Coll Med, Bucheon, South Korea Kim, Gi-Ae/AAZ-2547-2021; Cho, EunYoung/KHD-4039-2024; Kim, Sang/AAI-5704-2020 wonshiri@yahoo.com; JOURNAL OF HEPATOLOGY J HEPATOL 0168-8278 1600-0641 82 SCIE GASTROENTEROLOGY & HEPATOLOGY 2024 33 1.7 0 English 2025 2025-05 바로가기 바로가기
Meeting Abstract Phase IB and II study of ribociclib with trastuzumab plus endocrine therapy in HR+/HER2+advanced breast cancer patients: Korean Cancer Study Group BR 18-2 MINI trial. Sohn, Joohyuk; Lim, Seungtaek; Jeong, Jae Ho; Lee, Kyung-Hun; Lee, Keun Seok; Moon, Yong Wha; Kim, Ji-Yeon; Lee, Jieun; Kim, Hee Jun; Chae, Yee Soo; Kim, Jee Hung; Lee, Suee; Park, In Hae; Kang, Seok Yun; Park, Kyonghwa; Cho, Eun Kyung; Kim, Han Jo; Kim, Gun Min; Kim, Min Hwan; Kim, Kyoo Hyun Yonsei Univ, Coll Med, Dept Internal Med, Div Med Oncol,Yonsei Canc Ctr, Seoul, South Korea; Wonju Severance Christian Hosp, Wonju, South Korea; Univ Ulsan, Coll Med, Asan Med Ctr, Dept Oncol, Seoul, South Korea; Seoul Natl Univ, Coll Med, Seoul Natl Univ Hosp, Canc Res Inst, Seoul, South Korea; Natl Canc Ctr, Ctr Breast Canc, Goyang, South Korea; CHA Bundang Med Ctr, Internal Med Dept, Hematol & Oncol, Seongnam, South Korea; Sungkyunkwan Univ, Sch Med, Samsung Med Ctr, Div Hematol Oncol,Dept Med, Seoul, South Korea; Catholic Univ Korea, Seoul St Marys Hosp, Coll Med, Dept Internal Med,Div Med Oncol, Seoul, South Korea; Chung Ang Univ, Coll Med, Dept Internal Med, Seoul, South Korea; Kyungpook Natl Univ, Chilgok Hosp, Sch Med, Dept Oncol Hematol, Daegu, South Korea; Yonsei Univ, Coll Med, Gangnam Severance Hosp, Div Med Oncol,Dept Internal Med, Seoul, South Korea; Dong A Univ Hosp, Busan, South Korea; Korea Univ, Coll Med, Guro Hosp, Div Hemato Oncol,Dept Internal Med, Seoul, South Korea; Ajou Univ, Sch Med, Dept Hematol Oncol, Suwon, South Korea; Korea Univ, Anam Hosp, Dept Internal Med, Div Med Oncol,Coll Med, Seoul, South Korea; Gachon Univ, Div Med Oncol, Dept Internal Med, Gil Med Ctr, Incheon, South Korea; Soonchunhyang Univ Hosp, Cheonan, South Korea; Yonsei Canc Ctr, Seoul, South Korea; Yonsei Univ, Coll Med, Severance Hosp, Div Med Oncol,Dept Internal Med,Yonsei Canc Ctr, Seoul, South Korea JOURNAL OF CLINICAL ONCOLOGY J CLIN ONCOL 0732-183X 1527-7755 43 16_SUPPL SCIE ONCOLOGY 2024 41.9 1.7 0 English 2025 2025-06-01 10.1200/jco.2025.43.16_suppl.1016 바로가기 바로가기 바로가기
Meeting Abstract Predicting high-risk group according to Oncotype DX recurrence score using dynamic contrast-enhanced breast MR with temporal radiomic features. Lee, Jeeyeon Elizabeth; Park, Sung Joon; Kim, Won Hwa; Kim, Jaeil; Kang, Byeongju; Park, Ho Yong; Kim, Hye Jung; Chae, Yee Soo; Lee, Soo Jung; Lee, In Hee Kyungpook Natl Univ, Chilgok Hosp, Sch Med, Dept Surg, Daegu, South Korea; Kyungpook Natl Univ, Sch Comp Sci & Engn, Daegu, South Korea; Kyungpook Natl Univ Hosp, Daegu, South Korea; Kyungpook Natl Univ, Chilgok Hosp, Sch Med, Dept Surgey, Daegu, South Korea; Kyungpook Natl Univ, Daegu, South Korea; Kyungpook Natl Univ, Chilgok Hosp, Sch Med, Dept Oncol Hematol, Daegu, South Korea; Kyungpook Natl Univ, Chilgok Hosp, Sch Med, Dept Oncol Hematol, Daegu, South Korea JOURNAL OF CLINICAL ONCOLOGY J CLIN ONCOL 0732-183X 1527-7755 43 16_SUPPL SCIE ONCOLOGY 2024 41.9 1.7 0 English 2025 2025-06-01 10.1200/jco.2025.43.16_suppl.e12533 바로가기 바로가기 바로가기
Meeting Abstract Real-time AI-based computer-aided detection/diagnosis (AI-CAD) for breast ultrasound: A prospective, multicenter, multinational study. Lee, Jeeyeon Elizabeth; Kim, Won Hwa; Kwong, Ava; Kim, Jaeil; Kim, Hye Jung; Baek, John; Park, Ho Yong; Chae, Yee Soo; Lee, Soo Jung; Lee, In Hee Kyungpook Natl Univ, Chilgok Hosp, Sch Med, Dept Surg, Daegu, South Korea; Kyungpook Natl Univ Hosp, Daegu, South Korea; Univ Hong Kong, Hong Kong, Peoples R China; Kyungpook Natl Univ, Sch Comp Sci & Engn, Daegu, South Korea; Kyungpook Natl Univ, Daegu, South Korea; BeamWorks Inc, Daegu, South Korea; Kyungpook Natl Univ, Chilgok Hosp, Sch Med, Dept Hematol Oncol, Daegu, South Korea JOURNAL OF CLINICAL ONCOLOGY J CLIN ONCOL 0732-183X 1527-7755 43 16_SUPPL SCIE ONCOLOGY 2024 41.9 1.7 0 English 2025 2025-06-01 10.1200/jco.2025.43.16_suppl.1569 바로가기 바로가기 바로가기
Meeting Abstract Role of EMP2 in triple-negative breast cancer. Lee, In Hee; Kim, Eun Ae; Lee, Soo Jung; Kang, Byeongju; Lee, Jeeyeon Elizabeth; Park, Ho Yong; Park, Jee-Young Nora; Park, Ji-young; Kang, Jieun; Jeong, Seol-Hwa; Chae, Yee Soo Kyungpook Natl Univ, Chilgok Hosp, Sch Med, Dept Oncol Hematol, Daegu, South Korea; Kyungpook Natl Univ, Chilgok Hosp, Daegu, South Korea; Kyungpook Natl Univ, Chilgok Hosp, Sch Med, Dept Surgey, Daegu, South Korea; Kyungpook Natl Univ, Chilgok Hosp, Sch Med, Dept Surg, Daegu, South Korea; Kyungpook Natl Univ, Chilgok Hosp, Sch Med, Dept Pathol, Daegu, South Korea; Kyungpook Natl Univ, Cell & Matrix Res Inst, Sch Med, Daegu, South Korea JOURNAL OF CLINICAL ONCOLOGY J CLIN ONCOL 0732-183X 1527-7755 43 16_SUPPL SCIE ONCOLOGY 2024 41.9 1.7 0 English 2025 2025-06-01 10.1200/jco.2025.43.16_suppl.e13143 바로가기 바로가기 바로가기
Meeting Abstract Trastuzumab deruxtecan (T-DXd) plus pertuzumab (P) vs taxane plus trastuzumab plus pertuzumab (THP) for first-line (1L) treatment of patients (pts) with human epidermal growth factor receptor 2-positive (HER2+) advanced/metastatic breast cancer (a/mBC): Interim results from DESTINY-Breast09. Tolaney, Sara M.; Jiang, Zefei; Zhang, Qingyuan; Barroso-Sousa, Romualdo; Park, Yeon Hee; Rimawi, Mothaffar F.; Saura Manich, Cristina; Schneeweiss, Andreas; Toi, Masakazu; Chae, Yee Soo; Kemal, Yasemin; Chaudhari, Mukesh; Yamashita, Toshinari; Casalnuovo, Monica; Danso, Michael A.; Liu, Jie; Shetty, Jagdish; Herbolsheimer, Pia Maarit; Loibl, Sibylle Harvard Med Sch, Dana Farber Canc Inst, Boston, MA, USA; Fifth Med Ctr PLA Gen Hosp, Breast Canc Dept, Beijing, Peoples R China; Harbin Med Univ Canc Hosp, Harbin, Peoples R China; Brasilia Hosp, Rede Amer, Brasilia, DF, Brazil; Sungkyunkwan Univ, Samsung Med Ctr, Sch Med, Seoul, South Korea; Baylor Coll Med, Houston, TX, USA; Vall Hebron Univ Hosp, Barcelona, Spain; Natl Ctr Tumor Dis, Heidelberg, Germany; Komagome Hosp, Tokyo Metropolitan Canc & Infect Dis Ctr, Tokyo, Japan; Kyungpook Natl Univ, Kyungpook Natl Univ Chilgok Hosp, Sch Med, Dept Oncol Hematol, Daegu, South Korea; Altınbas Univ, Istanbul, Turkiye; HCG Manavata Canc Ctr, Dept Med Oncol, Nashik, India; Kanagawa Canc Ctr, Dept Breast Surg & Oncol, Yokohama, Japan; Lucen, Buenos Aires, Argentina; Virginia Oncol Associates, Brock Canc Ctr, Norfolk, VA, USA; Sarah Cannon Res Inst, Norfolk, VA, USA; AstraZeneca, Biometr Oncol, Late Stage Dev, Oncol R&D, South San Francisco, CA, USA; AstraZeneca, Gaithersburg, MD, USA; Johann Wolfgang Goethe Univ, Frankfurt, Germany; German Breast Grp, Frankfurt, Germany BARROSO-SOUSA, ROMUALDO/T-6405-2019; Tolaney, S/AFZ-2612-2022; Rimawi, Mothaffar/AAI-3520-2020 JOURNAL OF CLINICAL ONCOLOGY J CLIN ONCOL 0732-183X 1527-7755 43 17_SUPPL SCIE ONCOLOGY 2024 41.9 1.7 0 English 2025 2025-06-10 10.1200/jco.2025.43.17_suppl.lba1008 바로가기 바로가기 바로가기
Article Content-Aware AP Selection with LSTM-enabled Proactive Caching in Cell-Free Massive MIMO Networks Cell-Free massive MIMO (CF-mMIMO) networks face significant challenges in achieving Ultra-Reliable Low-Latency Communication (URLLC) requirements due to inherent delays in content retrieval from central processing units (CPUs). This paper presents an integrated framework that jointly optimizes access point (AP) selection and content caching to minimize latency while maintaining reliability. We develop a novel content-aware user-centric clustering scheme that considers both cached content availability and channel conditions. The scheme features a Content Query Beacon (CQB) mechanism, which verifies content availability prior to connection establishment. To address the dynamic nature of content popularity, we design a novel proactive content caching strategy using Long Short-Term Memory (LSTM) to minimize CPU-dependent data retrieval. Extensive simulations demonstrate that our proposed framework achieves a 75% reduction in content delivery latency, 31.87% improvement in Quality of Experience (QoE), and a 26.8% increase in cache hit rates compared to conventional approaches. This comprehensive solution significantly enhances the capability of CF-mMIMO networks to deliver URLLC services, particularly in densely populated areas with diverse content demands. © 2025 IEEE. Ajmal, Mahnoor; Park, Seri; Saad, Malik Muhammad; Tariq, Muhammad Ashar; Kim, Dongkyun Kyungpook National University, School of Computer Science and Engineering, Daegu, 41566, South Korea; Kyungpook National University, School of Computer Science and Engineering, Daegu, 41566, South Korea; Kyungpook National University, School of Computer Science and Engineering, Daegu, 41566, South Korea, Dongseo University, School of Computer Science, Busan, South Korea; Kyungpook National University, School of Computer Science and Engineering, Daegu, 41566, South Korea; Kyungpook National University, School of Computer Science and Engineering, Daegu, 41566, South Korea 57238144300; 58978974900; 57220715290; 57219865336; 35753648800 dongkyun@knu.ac.kr; IEEE Transactions on Network Science and Engineering IEEE T NETW SCI ENG 2327-4697 2327-4697 SCIE ENGINEERING, MULTIDISCIPLINARY;MATHEMATICS, INTERDISCIPLINARY APPLICATIONS 2024 7.9 1.8 N/A 0 Cell-free massive MIMO; Edge Caching; LSTM; URLLC; User-centric Clustering English Article in press 2025 10.1109/tnse.2025.3578687 바로가기 바로가기 바로가기
Article Optimizing Spectral Efficiency: An SNV Scheme for IoT-Enabled CF mMIMO Networks Future wireless networks are expected to achieve uniform quality of service (QoS) and seamless connectivity across vast coverage areas. Cell-free (CF) massive multiple-input, multiple-output (mMIMO) networks emerge as a promising solution to achieve these goals by minimizing signal interference and enhancing network performance. However, the existing research contributions in CF mMIMO networks face significant challenges related to signal overhead, network load, and computation complexity on the fronthaul, resulting in unscalability. Considering these limitations, we propose a novel space division multiple access (SDMA)-based network virtualization (SNV) scheme to maximize the uplink/downlink spectral efficiency in the Internet of Things (IoT)-enabled CF mMIMO networks. Our system architecture leverages multiple IoT-enabled wireless access points (APs) equipped with various antennas, establishing independent communication links to serve user equipment (UEs) simultaneously. The integration of stream-based encoding and minimum mean square error estimation enables UEs to receive accurate data, improve channel capacity, and minimize the computation complexity on fronthaul. Our extensive simulation results demonstrate that the proposed scheme significantly outperforms current state-of-the-art schemes while ensuring scalability for CF mMIMO networks. Siddiqa, Ayesha; Seo, Junho; Saad, Malik Muhammad; Kim, Dongkyun Kyungpook Natl Univ, Sch Comp Sci & Engn, Daegu 41566, South Korea Saad, Malik/ABF-9433-2021 57811639800; 57208740581; 57220715290; 35753648800 asiddiqa@knu.ac.kr; jhseo@knu.ac.kr; maliksaad@knu.ac.kr; dongkyun@knu.ac.kr; IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING IEEE T NETW SCI ENG 2327-4697 12 1 SCIE ENGINEERING, MULTIDISCIPLINARY;MATHEMATICS, INTERDISCIPLINARY APPLICATIONS 2024 7.9 1.8 0 2025-05-07 0 0 Quality of service; Internet of Things; Vectors; Spectral efficiency; Computer architecture; Computational complexity; Virtualization; Multiaccess communication; Downlink; Channel estimation; Cell-free (CF) networks; massive multiple-input multiple-output (mMIMO); space division multiple access (SDMA); virtual Ids; minimum mean square error (MMSE) FREE MASSIVE MIMO; POWER ALLOCATION; PERFORMANCE; DESIGN Cell-free (CF) networks; massive multiple-input multiple-output (mMIMO); minimum mean square error (MMSE); space division multiple access (SDMA); virtual Ids Channel coding; Channel estimation; Mobile telecommunication systems; Network coding; Receiving antennas; Space division multiple access; Trellis codes; Cell-free; Cell-free network; Massive multiple-input multiple-output; Means square errors; Minimum mean square error; Minimum mean squares; Multiple inputs; Multiple outputs; Space division multiple access; Space-division multiple-access; Virtual ids; Mean square error English 2025 2025-01 10.1109/tnse.2024.3503666 바로가기 바로가기 바로가기 바로가기
Article Why muscle strengthening exercises should target the quadriceps and gluteus maximus in patients with knee osteoarthritis?: Effects of knee pain on muscle volume and fatty degeneration based on AI-assisted cross-sectional analysis Background: Sarcopenia, characterized by age-related muscle loss, traditionally presents as systemic muscle atrophy. However, knee osteoarthritis (OA) patients often exhibit localized quadriceps muscle atrophy, suggesting a potential pain-related mechanism distinct from classical sarcopenia. This study aimed to investigate the relationship between knee OA pain and selective muscle atrophy, particularly focusing on its role as a potential aggravating factor for sarcopenia. Methods: Eighty-nine patients scheduled for unilateral primary total knee arthroplasty were analyzed. Preoperative computed tomography was used to compare muscle volume and intramuscular adipose tissue (IMAT) proportion between the more painful limb (Group 1) and the contralateral, less painful limb (Group 2). Analysis included both compartmental evaluation (anterior, medial, and posterior thigh compartments; hip abductors and external rotators) and individual muscle assessment. Results: Group 1 demonstrated significant volume reduction in the anterior thigh compartment (specifically vastus lateralis, intermedius, and medialis) and gluteus maximus, compared to Group 2 (p < 0.05). IMAT proportion was significantly higher in most muscles of Group 1, except for hip abductors, tensor fascia latae, and gluteus minimus (p < 0.05), suggesting widespread fatty degeneration despite selective volume loss. Conclusion: Knee osteoarthritis–related pain induces selective atrophy in the anterior thigh compartment and gluteus maximus while promoting diffuse fatty infiltration throughout the lower extremity. These findings suggest that OA-associated pain may exacerbate sarcopenia by driving both region-specific muscle loss and widespread intramuscular adipose degeneration. The translational potential of this article: These findings underscore the importance of pain control as a primary therapeutic goal in patients with knee osteoarthritis. They also highlight the clinical necessity of targeted strengthening of the quadriceps and gluteus maximus muscles, given the role of knee pain in inducing secondary, selective muscle atrophy. Furthermore, symptoms commonly observed in elderly patients with OA—such as limping, giving way, lower extremity weakness, and patellofemoral knee pain—may not be attributable solely to the aging process. Rather, they may reflect secondary muscular adaptations driven by chronic pain during the progression of osteoarthritis (Figure 1). © 2025 Lee, Do Kyung; Kim, Hyeon Su; Ko, Kyung Rae; Yoon, Jong Pil; Yoo, Jun-Il Department of Orthopedic Surgery, Samsung Changwon Hospital, Sungkyunkwan University School of Medicine, Changwon, South Korea; Department of Orthopedic Surgery, Inha University College of Medicine, Incheon, South Korea; Department of Orthopedic Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea; Department of Orthopedic Surgery, School of Medicine, Kyungpook National University, Daegu, South Korea; Department of Orthopedic Surgery, Inha University Hospital, Inha University College of Medicine, Incheon, South Korea 7406669259; 57928841100; 55255558400; 59665260700; 59666146300 furim@hanmail.net; Journal of Orthopaedic Translation J ORTHOP TRANSL 2214-031X 2214-031X 53 SCIE ORTHOPEDICS 2024 7.8 1.8 0 Intramuscular adipose tissue; Knee osteoarthritis; Muscle atrophy; Pain-induced muscle loss; Sarcopenia; Selective muscle atrophy English Final 2025 10.1016/j.jot.2025.06.013 바로가기 바로가기 바로가기
Article Electron collision in a two-path graphene interferometer The collision of two electrons at a beam splitter provides a method for studying their coherence and indistinguishability. Its realization requires the on-demand generation and synchronization of single electrons. In this work, we demonstrate the coherent collision of single electrons, generated by voltage pulses, in a graphene Mach-Zehnder interferometer. By measuring shot noise resulting from the collisions, we unveil fundamental characteristics of colliding electrons, highlighting the complementarity between the indistinguishable and distinguishable parts of their wave functions. The former is manifested through fermionic Hong-Ou-Mandel destructive interference, whereas the latter is discerned through double-winding Aharonov-Bohm interference in the noise. The interference visibilities of around 60% enable comprehensive quantum state tomography. Our findings may place coherent operations involving flying qubits within reach in graphene. Chakraborti, H.; Pugliese, L.; Assouline, A.; Watanabe, K.; Taniguchi, T.; Kumada, N.; Glattli, D. C.; Jo, M.; Sim, H. -S; Roulleau, P. Univ Paris Saclay, SPEC, CEA, CNRS,CEA Saclay, Gif Sur Yvette, France; Natl Inst Mat Sci, 1-1 Namiki, Tsukuba, Ibaraki 3050044, Japan; NTT Corp, NTT Basic Res Labs, 3-1 Morinosato Wakamiya, Atsugi, Kanagawa 2430198, Japan; Korea Adv Inst Sci & Technol, Dept Phys, Daejeon 34141, South Korea; CNRS, Inst Neel, Grenoble, France; Kyungpook Natl Univ, Dept Phys, Daegu, South Korea TANIGUCHI, Takashi/H-2718-2011; Sim, Heung-Sun/C-1624-2011; GLATTLI, D./A-3748-2019 hssim@kaist.ac.kr; preden.roulleau@cea.fr; SCIENCE SCIENCE 0036-8075 1095-9203 388 6746 SCIE MULTIDISCIPLINARY SCIENCES 2024 45.8 1.9 0 HANBURY-BROWN; INTERFERENCE English 2025 2025-05-01 10.1126/science.adn4622 바로가기 바로가기 바로가기
Article Enhancing flexibility of smart bioresorbable vascular scaffolds through 3D printing using polycaprolactone and polylactic acid With the growing use of stent implantations, the risk of in-stent restenosis represents a major concern for cardiovascular patients. Herein, we propose a hybrid bioresorbable vascular scaffold (H-BVS) integrated with a wireless sensor that could enable significant advances in cardiovascular therapeutics. The H-BVS was carefully manufactured using a state-of-the-art customized 3D printer equipped with dual nozzles to achieve a synergistic combination of polycaprolactone (PCL) and polylactic acid (PLA), both of which are known for their bioresorbable properties. This characteristic is particularly valuable in medical applications where the scaffold is gradually absorbed by the body, eliminating the need for a second procedure to remove it. Furthermore, the HBVS was integrated with a wireless, battery-less LC-type pressure sensor for real-time monitoring of in-stent restenosis. This wireless sensor was meticulously connected with the H-BVS framework through engineered microstructures, which not only ensured a robust bond but also significantly enhanced the overall integrity and functionality of the device. Additionally, the combination of the H-BVS and sensor was optimized to exhibit superior bending flexibility and radial strength, which are key factors in ensuring effectiveness and patient safety. The feasibility of the smart H-BVS (SH-BVS) was verified through comprehensive testing within a phantom system designed to simulate real blood flow conditions. We believe that the SH-BVS system holds strong potential to significantly improve patient monitoring and treatment strategies within the cardiovascular healthcare domain. Wei, Jinlian; Oyunbaatar, Nomin-Erdene; Jeong, Yun-Jin; Park, Jongsung; Kim, Su-Hwan; Kwon, Kyeongha; Lee, Heonzoo; Won, Yonggwan; Kim, Dong-Su; Lee, Dong-Weon Chonnam Natl Univ, Sch Mech Engn, Gwangju 61186, South Korea; Chosun Coll Sci & Technol, Dept Automat Syst, Gwangju 61453, South Korea; Kyungpook Natl Univ, Dept Precis Mech Engn, Sangju 37224, Gyeongsangbuk D, South Korea; Korea Adv Inst Sci & Technol, Sch Elect Engn, Daejeon 34141, South Korea; Chonnam Natl Univ, Dept Intelligent Elect & Comp Engn, Gwangju 61186, South Korea; Korea Inst Ind Technol KITECH, Energy & Nano Technol Grp, Gwangju 61012, South Korea Kwon, Kyeongha/AAT-8407-2020; Kim, Su Hwan/HZJ-3224-2023; 김, 동수/IAN-1770-2023 59182801100; 57039113100; 56261982700; 57189583605; 57791818200; 56109998000; 58909580900; 59287839700; 56569118200; 34875377700 dskim27@kitech.re.kr; mems@jnu.ac.kr; SENSORS AND ACTUATORS B-CHEMICAL SENSOR ACTUAT B-CHEM 0925-4005 422 SCIE CHEMISTRY, ANALYTICAL;ELECTROCHEMISTRY;INSTRUMENTS & INSTRUMENTATION 2024 7.7 1.9 8.15 2025-05-07 4 6 Bioresorbable vascular scaffold; Pressure monitoring; Smart scaffold; In-stent restenosis; Wireless sensor; Biodegradable polymer IN-STENT RESTENOSIS; CORONARY-ARTERY LESIONS; ELUTING STENT; CLINICAL-OUTCOMES; PRESSURE; ABSORB; DESIGN; FUTURE; SENSOR Biodegradable polymer; Bioresorbable vascular scaffold; In-stent restenosis; Pressure monitoring; Smart scaffold; Wireless sensor Cardiology; Patient treatment; Polymeric implants; Scaffolds; Scaffolds (biology); 3-D printing; 3D-printing; Bioresorbable; Bioresorbable vascular scaffold; In-stent restenosis; Pressure monitoring; Smart scaffold; Stent implantation; Vascular scaffolds; Wireless sensor; Stents English 2025 2025-01-01 10.1016/j.snb.2024.136667 바로가기 바로가기 바로가기 바로가기
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