Optimizing conditions to improve polyphenol content and screening antioxidant capacity with DNA protection activity of Perilla frutescens by Ngoc Thien Kim Nguyen, Huynh Anh Vu Truong, Hoang Khue Tu Nguyen

“…Tạp chí Khoa học Đại học Huế: Khoa học Tự nhiên…”
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Nghiên cứu phân lập vi khuẩn nội sinh từ một số giống lan rừng by Huu Tho Nguyen, Thị Bích Phượng Trương, Thị Xuân Tuý Hồ, Thành Phạm, Thị Kim Cúc Nguyễn

“…Tạp chí Khoa học Đại học Huế: Khoa học Tự nhiên…”
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HOẠT TÍNH CHỐNG OXY HOÁ CỦA VẬT LIỆU COMPOSITE COLLAGEN/CHITOSAN/ CAO CHIẾT MÁN ĐỈA by Ngọc Nguyễn Hoàng Lương, Thi Trần Thị Văn, Sơn Lê Lâm, Nhung Nguyễn Minh, Mẫn Nguyễn Quang, Vũ Hồ Xuân Anh, Minh Trần Thanh, Thắng Nguyễn Việt, Như Nguyễn Thị, Hạnh Nguyễn Thị Hồng, Hiếu Lê Trung

“…Tạp chí Khoa học Đại học Huế: Khoa học Tự nhiên…”
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The spillover effects of military spending across superpowers using the TVP - VAR approach by Duc Hong Vo, Minh Phuoc Bao Tran, Phuong Thi Ha Cao

“…Ho Chi Minh City Open University Journal of Science - Economics and Business Administration…”
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Flooding and child development: Evidence from Vietnam by My Tra Nguyen, Kien Le

“…Ho Chi Minh City Open University Journal of Science - Economics and Business Administration…”
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In vitro antioxidant activity and content of bioactive compounds from Homalomena occulta by Trang Le Thuy, Son Le Lam, Dung Nguyen Van, Anh Vu Ho Xuan, Man Nguyen Quang, Minh Tran Thanh, Thi Tran Thi Van, Thang Nguyen Viet, Ly Vo Thi Khanh, Nhung Nguyen Minh, Hieu Le Trung

“…Tạp chí Khoa học Đại học Huế: Khoa học Tự nhiên…”
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Does foreign aid reduce income inequality in developing countries? by Bon Van Nguyen, Tuong My Cat Vu, Thao Thi Thanh Nguyen, Nhi Buu Duong, Khoa Ngoc Anh Pham, Toa Trieu Kim Le

“…Ho Chi Minh City Open University Journal of Science - Economics and Business Administration…”
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Study on the antifungal potential of Piper betle methanol extract against Colletotrichum gloeosporioides cutinase by Nhung Nguyen Thi Ai, Hai Nguyen Thi Thanh, Quang Thanh Bui, Vinh Phu Nguyen, Tu Quy Phan

“…Tạp chí Khoa học Đại học Huế: Khoa học Tự nhiên…”
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Superficially Plausible Outputs from a Black Box: Problematising GenAI Tools for Analysing Qualitative SoTL Data by Mirjam Sophia Glessmer, Rachel Forsyth

“…To fill this gap, we experiment with the use of chatbot style GenAI (namely ChatGPT 4, ChatGPT 4o, and Microsoft Copilot) to support or conduct qualitative analysis of survey and interview data from a SoTL project, which had previously been analysed by experienced researchers using thematic analysis. …”
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Production and Characterization of Coffee Husk Fuel Briquettes as an Alternative Energy Source by Assefa Tesfaye, Fentahun Workie, Venkatesh S. Kumar

“…The carboniser converts 15 kg of raw coffee husk into 6 kg of carbonised char in 25 minutes, and the manually operated briquette molder can press 30 kg per hour. …”
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Geleceğin İletişiminde Yapay Zekâ Sohbet Robotları: Ekşi Sözlük Girdilerinin İçerik Analizi by Gamze Gazaz, Doğan Can Gazaz

“…Bu kapsamda, Ekşi Sözlük’te yer alan “ChatGPT” başlığından 30 Kasım 2022 – 28 Ağustos 2023 tarih aralığındaki tüm girdiler (4233 adet), Python dili ile oluşturulan algoritma ile alınmıştır. …”
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Persistência da dominação masculina: bovarismo e doramas by Camila David Dalvi, Fabíola Simão Padilha Trefzger

“… O presente artigo observa o conceito de bovarismo (cunhado por Jules de Gaultier a partir de Madame Bovary, de Flaubert) como chave de análise para a condição feminina dentro e fora da ficção. …”
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Analysis of a case of pilomatricoma in an adolescent after receiving recombinant hepatitis B vaccine (CHO cell) in Beijing of China by Li Li, Jingyi Xu, Dongkun Zhang, Jianlin Cai, Zhen Li, Xiaohui Zhang, Shuping Li

Subjects: “…recombinant hepatitis B vaccine (CHO cell)…”
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Characteristics of the Bacterial Community in Alpine Meadows in Response to Altitude and Aspect in the Qilian Mountains, Northwest China by Qiang Li, Ying Zhang, Xiaoni Liu, Fan Yang

“…ABSTRACT As one of the most sensitive and fragile alpine ecosystems in the Qilian Mountains, the alpine meadow holds significant scientific importance in understanding the changes in the characteristics of soil bacterial community in response to altitude and aspect variations. …”
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Research on multi-granularity password analysis based on LLM by Meng HONG, Weidong QIU, Yangde WANG

“…Password-based authentication has been widely used as the primary authentication mechanism.However, occasional large-scale password leaks have highlighted the vulnerability of passwords to risks such as guessing or theft.In recent years, research on password analysis using natural language processing techniques has progressed, treating passwords as a special form of natural language.Nevertheless, limited studies have investigated the impact of password text segmentation granularity on the effectiveness of password analysis with large language models.A multi-granularity password-analyzing framework was proposed based on a large language model, which follows the pre-training paradigm and autonomously learns prior knowledge of password distribution from large unlabelled datasets.The framework comprised three modules: the synchronization network, backbone network, and tail network.The synchronization network module implemented char-level, template-level, and chunk-level password segmentation, extracting knowledge on character distribution, structure, word chunk composition, and other password features.The backbone network module constructed a generic password model to learn the rules governing password composition.The tail network module generated candidate passwords for guessing and analyzing target databases.Experimental evaluations were conducted on eight password databases including Tianya and Twitter, analyzing and summarizing the effectiveness of the proposed framework under different language environments and word segmentation granularities.The results indicate that in Chinese user scenarios, the performance of the password-analyzing framework based on char-level and chunk-level segmentation is comparable, and significantly superior to the framework based on template-level segmentation.In English user scenarios, the framework based on chunk-level segmentation demonstrates the best password-analyzing performance.…”
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Social network user geolocating method based on weighted least squares by Wenqi SHI, Xiangyang LUO, Jiashan GUO

“…When providing location-based dating and other location-based services, social networks will confuse the displayed user distance text to protect the user’s location privacy.In order to verify whether the current location confusion mechanism adopted by social networks can effectively protect user’s accurate location, a social network user geolocating method based on weighted least squares was proposed.The method constructed real-world tests to collect a large number of confused distance texts in location dating service, and identified the real distance boundary of reported distance combined with real distance data.Then, based on the discrimination of the quadrant of the coordinate system where the target user was located, the position of probes was optimally deployed, and multiple preliminary position estimations of the target user were obtained by using the trilateration model.The weights of the longest and the shortest distance of the target user were determined by the estimated position, and the related objective function was constructed.The optimal solution of the objective function was calculated based on the weighted least squares, which was the final geolocating result of the target user.The proposed method inferred the location of social network user based on the distance boundary constraint, which avoided the frequent query of location services and ensured the geolocating efficiency.The actual geolocating results based on 500 WeChat users showed that, the proposed method can accurately geolocate the “eople nearby” users of WeChat.Compared with the existing typical geolocating methods based on space partition and heuristic number theory, the proposed method have better performance in geolocating accuracy and efficiency.The average geolocating error is reduced by more than 10%, and the number of location service quarries in the geolocating process is reduced by more than 50%.…”
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A positive spin: large language models can help directors evaluate programs through their patients' own words by Leah Russell Flaherty, Kendra H. Oliver

“…Interpretation and utilization of qualitative feedback from participants has immense value for program evaluation. Reliance on only quantitative data runs the risk of losing the lived patient experience, forcing their outcomes to fit into our predefined objectives. …”
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Performance Evaluation of Large Language Models in Cervical Cancer Management Based on a Standardized Questionnaire: Comparative Study by Warisijiang Kuerbanjiang, Shengzhe Peng, Yiershatijiang Jiamaliding, Yuexiong Yi

“…Large language models (LLMs) have emerged as potential tools to support health care, though their specific role in cervical cancer management remains underexplored. …”
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Meals, Education, and Gardens for In-School Adolescents (MEGA): study protocol for a cluster randomised trial of an integrated adolescent nutrition intervention in Dodoma, Tanzania by Wafaie W Fawzi, Dongqing Wang, Abbas Ismail, Leonard Kamanga Katalambula, Andrea R Modest, Tara Young, Mary Mwanyika-Sando, Amani Tinkasimile, Dominic Mosha, Augustine Malero, Said Vuai

“…Introduction Secondary schools have the transformative potential to advance adolescent nutrition and provide a unique entry point for nutrition interventions to reach adolescents and their families and communities. …”
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Effect of daily alcohol intake on sex hormone levels among postmenopausal breast cancer survivors on aromatase inhibitor therapy: a randomized controlled crossover pilot study by Elizabeth Mostofsky, Julie E. Buring, Steven E. Come, Nadine M. Tung, Cancan Zhang, Kenneth J. Mukamal

“…Conclusions Five ounces of white wine daily did not lead to statistically significant increases in estradiol, but it led to changes in other sex hormones suggesting higher BC risk. …”
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