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Articles 91 - 120 of 8692
Full-Text Articles in Entire DC Network
Systematic Implications Of Seed Morphology In Oxytropis (Galegeae: Fabaceae) From Pakistan, Amjad Khan, Amir Sultan, Raees Khan, Rozina Rozina, Shahab Ali, Ali Bagheri, Rifat Ullah Khan, Abdul Samad Mumtaz, Tariq Ullah, Ghalia Saleem Aljeddani, Hasil Khan
Systematic Implications Of Seed Morphology In Oxytropis (Galegeae: Fabaceae) From Pakistan, Amjad Khan, Amir Sultan, Raees Khan, Rozina Rozina, Shahab Ali, Ali Bagheri, Rifat Ullah Khan, Abdul Samad Mumtaz, Tariq Ullah, Ghalia Saleem Aljeddani, Hasil Khan
Turkish Journal of Botany
Oxytropis is a taxonomically challenging genus within the tribe Galegeae of the family Fabaceae. Despite its systematic importance, the seed morphology of Oxytropis has been poorly investigated. In the present study, we examined the seed morphology of 18 Oxytropis species representing 10 sections from the Pakistan, with the aim of evaluating the diagnostic value of seed traits using both light and scanning electron microscopy. The current investigation revealed two distinct seed shapes, namely cordiform and prolonged reniform, across the studied taxa. Seed length ranged from 1.75 mm in O. crassiuscula to 2.3 mm in O. duthieana, while seed width varied …
Sources And Potential Risks Of Micro- And Nanoplastics In Foods, Zhao Xinlong, Li Wei, Zhang Mengling, Xing Liwen, Tian Huafeng
Sources And Potential Risks Of Micro- And Nanoplastics In Foods, Zhao Xinlong, Li Wei, Zhang Mengling, Xing Liwen, Tian Huafeng
Food and Machinery
Plastics are widely used in food packaging, storage, processing, and other food-related applications, playing a vital role in extending food shelf life, reducing material loss, and promoting food circulation. However, these plastic products that come into direct or indirect contact with foods can release micro- and nanoplastics through various physical and chemical processes. These micro- and nanoplastics can accumulate in the human body through bioaccumulation and other pathways and have become one of the emerging contaminants threatening food safety and human health. This review provides a comprehensive summary of the research progress on the generation pathways, release mechanisms, potential health …
Hindu Poetry And The Project Of An Inter-Spiritual Catholic Theology, Francis X. Clooney
Hindu Poetry And The Project Of An Inter-Spiritual Catholic Theology, Francis X. Clooney
Journal of Global Catholicism
This article engages the work of the Indian south Indian Tamil-language Vaiṣṇava poet saints known as the Alvārs. The article specifically focuses the First HundredHoly Linked verses of Poykai Ālvār to argue for inter-spiritual learning between Catholics and Hindus. The article concludes with personal reflections on this encounter within the context of the global Catholic Church
Evaluasi Dampak Digitalisasi Regional Terhadap Pembangunan Berkelanjutan Di Indonesia, Tomi Setiawan, Muhammad Farras Samith, Shifwah Murran Nashifa
Evaluasi Dampak Digitalisasi Regional Terhadap Pembangunan Berkelanjutan Di Indonesia, Tomi Setiawan, Muhammad Farras Samith, Shifwah Murran Nashifa
Jurnal Ekonomi dan Pembangunan Indonesia
Digitalization has become a key pillar in driving economic, social, and governance transformation in Indonesia. However, it is necessary to verify whether digitalization has supported sustainable development goals. This study evaluates the impact of digitalization on sustainability dimensions at the district/city level in Indonesia using the Propensity Score Matching (PSM). The results show that digitalization has a significant negative impact on environmental quality. Conversely, the impact on the economy and social welfare is not statistically significant, indicating that the benefits of digitalization are not evenly distributed and tend to be concentrated among groups that already have digital access and capabilities.
Designing System Coherence For Content- Based English Language Development, Jeimee Estrada-Miller, Aline Matias, Raquel Gonzalez, Magaly Lavadenz, Elvira G. Armas
Designing System Coherence For Content- Based English Language Development, Jeimee Estrada-Miller, Aline Matias, Raquel Gonzalez, Magaly Lavadenz, Elvira G. Armas
Center on English Language Proficiency Implementation Briefs
Advancing Comprehensive English Language Development: Designing System Coherence for Content-Based English Language Development is the second in a four-part implementation series focused on advancing high-quality English language development (ELD) systems. Drawing on research on educational change, organizational coherence, and instructional improvement, the brief recognizes that while effective classroom practices are essential, their impact depends on the organizational conditions that support consistent implementation. This brief examines the "how" of implementation by emphasizing system coherence—the intentional alignment of policies, leadership, organizational structures, and resources around a shared vision for language and content learning. It introduces seven foundational practices that support the coherent …
Irene Calboli, Irene Calboli
Russian Language In An Interdisciplinary Setting: A Case Study, Foreign Area Studies At The United States Naval Academy, Joan Chevalier
Russian Language In An Interdisciplinary Setting: A Case Study, Foreign Area Studies At The United States Naval Academy, Joan Chevalier
Russian Language Journal
Russian language enrollments have been dropping in recent years at colleges and universities in the United States. In contrast to this national trend, the number of students studying Russian language at the United States Naval Academy (USNA) has remained robust over the past decade and is poised to increase in the near future as a relatively new interdisciplinary major, Foreign Area Studies (FAS), is expanded and revised. This paper traces recent developments at USNA that have led to the development and expansion of Foreign Area Studies, integrating language study into an interdisciplinary curriculum featuring courses related to nations and cultures …
The Shorthorn: April 24, 1985
The Shorthorn Newspaper Collection: 1980s
No abstract provided.
Research On Mechanical Properties Of Concrete At High Temperatures Based On Machine Learning, Liu Junhua, Liu Bin, Cao Haifeng, Liu Zhiguang, Li Zhiyong
Research On Mechanical Properties Of Concrete At High Temperatures Based On Machine Learning, Liu Junhua, Liu Bin, Cao Haifeng, Liu Zhiguang, Li Zhiyong
Journal of China & Foreign Highway
Structural safety is directly affected by the mechanical properties of concrete at high temperatures. Firstly, based on the existing compression and tension test data of concrete at high temperatures, the Abaqus finite element software was adopted for numerical simulation reproduction, and the reliability of the simulation method was verified. Secondly, by simulating the uniaxial tension-compression and confining pressure tests of normal concrete with different strength grades under high temperatures of 20‒800 ℃, the influence rules of temperature on the compressive strength, splitting tensile strength, elastic modulus, and stress ‒ strain relationship of concrete were elucidated. Finally, based on three commonly …
The Shorthorn: October 12, 1983
The Shorthorn: October 12, 1983
The Shorthorn Newspaper Collection: 1980s
No abstract provided.
The Shorthorn: September 16, 1983
The Shorthorn: September 16, 1983
The Shorthorn Newspaper Collection: 1980s
No abstract provided.
The Shorthorn: March 30, 1983
The Shorthorn Newspaper Collection: 1980s
No abstract provided.
Aging Alone In Malaysia: Social Challenges And Legal Protections, Jal Zabdi Mohd Yusoff, Zulazhar Tahir, Siti Zaharah Jamaluddin
Aging Alone In Malaysia: Social Challenges And Legal Protections, Jal Zabdi Mohd Yusoff, Zulazhar Tahir, Siti Zaharah Jamaluddin
Hasanuddin Law Review
According to The Japan Times, nearly 28,000 elderly individuals in Japan will die alone in the first half of 2024. This alarming trend is not unique to Japan; many countries, including Malaysia, are facing the challenges of an aging population. As Malaysia approaches becoming an aging nation, issues affecting the elderly, particularly those living alone, demand urgent attention. While not all elderly people face the same circumstances, some enjoy stable finances or live with their family, while others live in isolation due to various factors, such as remaining unmarried, widowhood, or estranged familial ties. Some are simply separated by their …
The Shorthorn: October 27, 1982
The Shorthorn: October 27, 1982
The Shorthorn Newspaper Collection: 1980s
No abstract provided.
The Shorthorn: September 24, 1982
The Shorthorn: September 24, 1982
The Shorthorn Newspaper Collection: 1980s
No abstract provided.
The Shorthorn: August 25, 1982
The Shorthorn: August 25, 1982
The Shorthorn Newspaper Collection: 1980s
No abstract provided.
Progress And Prospects Of Geothermal Resource Monitoring Technology, Hao Wenjie, Li Shengtao, Wang Huang, Liu Donglin, Wang Wanli, Qin Junsheng, Jin Xianpeng, Shen Jian, Liu Shuai, Yao Yahui, Hao Shuli, Ren Tao, Liu Zhe, Meng Xianwei, Hou Deren, Ren Xiaoqing, Jia Xiaofeng, Wen Dongguang
Progress And Prospects Of Geothermal Resource Monitoring Technology, Hao Wenjie, Li Shengtao, Wang Huang, Liu Donglin, Wang Wanli, Qin Junsheng, Jin Xianpeng, Shen Jian, Liu Shuai, Yao Yahui, Hao Shuli, Ren Tao, Liu Zhe, Meng Xianwei, Hou Deren, Ren Xiaoqing, Jia Xiaofeng, Wen Dongguang
Coal Geology & Exploration
Background Geothermal resources represent a renewable energy source characterized by abundant reserves, extensive distribution, high stability and reliability, and green and low-carbon attributes. China has led the world in the direct utilization of geothermal energy for many years. Geothermal resource monitoring, which lays the groundwork for geothermal exploration, exploitation, and utilization, provides critical data required to determine dynamic changes in geothermal reservoirs and their surrounding geological environments, ensure long-term sustainable geothermal exploitation and utilization, and achieve the refined management and protection of geothermal resources. Advances In the narrow sense, geothermal resource monitoring technology is primarily applied to individual wells. In …
Methods For Assessing The Circulation Depth Of Geothermal Water In A Moderate- To Low-Temperature Convective Geothermal System And Their Applications, Li Yiman, Xia Haoran, Gao Binbin, Sun Wenjie, Pang Zhonghe
Methods For Assessing The Circulation Depth Of Geothermal Water In A Moderate- To Low-Temperature Convective Geothermal System And Their Applications, Li Yiman, Xia Haoran, Gao Binbin, Sun Wenjie, Pang Zhonghe
Coal Geology & Exploration
Background The circulation depth of geothermal water is an important parameter for investigating geothermal systems or fields. It determines the thermal energy intensity and mineral composition of geothermal water, emerging as a critical factor influencing the efficient and sustainable development and utilization of geothermal resources.Progress This study presents a summary of the characteristics of typical moderate- to low-temperature convective geothermal systems from the perspective of sources (heat and fluid sources), pathways, geothermal reservoirs, cap rocks, and the geothermal water upwelling process and its impacts. Furthermore, this study systematically reviews suitable methods for assessing the circulation depth of geothermal water, …
Theoretical Research Advances And Applications Of The Dynamic Metamorphism Of Coals, Liu Hewu, Jiang Bo, Song Yu, Du Zhigang, Zhang Kun, Hou Chenliang, Yang Wenjie, Huang Nini
Theoretical Research Advances And Applications Of The Dynamic Metamorphism Of Coals, Liu Hewu, Jiang Bo, Song Yu, Du Zhigang, Zhang Kun, Hou Chenliang, Yang Wenjie, Huang Nini
Coal Geology & Exploration
Background The dynamic metamorphism of coals, a significant type of coal metamorphism, represents a fundamental research topic of coal geology. The research achievements have been widely applied in fields such as coal resource evaluation, the prevention and control of coal mine gas, and the exploration and exploitation of coalbed methane (CBM), holding great significance for gaining a deep understanding of the microscopic mechanisms underlying coal deformation and metamorphism, coal and gas outbursts, and CBM occurrence. Method Based on a literature survey and analysis, this study presents a systematic review of the development history of research on the dynamic metamorphism of …
Neutrosophic Sets And Systems, Vol. 100, 2026, Florentin Smarandache, Mohamed Abdel-Basset, Maikel. Leyva Vazquez
Neutrosophic Sets And Systems, Vol. 100, 2026, Florentin Smarandache, Mohamed Abdel-Basset, Maikel. Leyva Vazquez
Neutrosophic Sets and Systems
No abstract provided.
Passed Through Or Pushed Back? Exchange Rate Effects On Manufacturing Trade Prices In Indonesia And The Asean Plus Three, Fatikha Rizky Kurnia, Miguel Angel Esquivias, Wee-Yeap Lau, Unggul Heriqbaldi
Passed Through Or Pushed Back? Exchange Rate Effects On Manufacturing Trade Prices In Indonesia And The Asean Plus Three, Fatikha Rizky Kurnia, Miguel Angel Esquivias, Wee-Yeap Lau, Unggul Heriqbaldi
Bulletin of Monetary Economics and Banking
This study analyzes the Exchange Rate Pass-Through (ERPT) on export and import prices in Indonesia’s manufacturing trade with ASEAN Plus-three countries (China, Japan, and South Korea) using monthly data from 2016 to 2022. Employing the Nonlinear (NARDL) models, we examine the degree and asymmetry of ERPT across five key manufacturing sectors for each partner. The NARDL model confirms asymmetric price responses to currency appreciation and depreciation in several sectors. The findings reveal significant sectoral and country-specific variations. Some export sectors experience complete pass-through in the short term but shift to negative complete passthrough in the long run. Meanwhile, imports from …
Preface Of National Think Tank In Science And Technology: Ai Empowers Scientific Research
Preface Of National Think Tank In Science And Technology: Ai Empowers Scientific Research
Bulletin of Chinese Academy of Sciences (Chinese Version)
No abstract provided.
Disciplinary System Of Artificial Intelligence: Connotation, Architecture, And Development Suggestions, Academic Divisions Of The Chinese Academy Of Sciences Discipline Group Of Advisory Project On Ai-Empowered Scientific Research
Disciplinary System Of Artificial Intelligence: Connotation, Architecture, And Development Suggestions, Academic Divisions Of The Chinese Academy Of Sciences Discipline Group Of Advisory Project On Ai-Empowered Scientific Research
Bulletin of Chinese Academy of Sciences (Chinese Version)
The discipline of artificial intelligence studies the theories, methods, systems, applications, enabling functions, ethics, and governance of artificial intelligence, and is a typical interdisciplinary field. With the rapid development of artificial intelligence in recent years, its disciplinary connotations and system architecture urgently require renewed examination. Based on the analysis of development trends of artificial intelligence, this paper elucidates the connotations of the AI discipline from four perspectives: theoretical methods, forms of intelligence, disciplinary integration, and application empowerment. It further proposes a disciplinary system framework for artificial intelligence comprising foundational supporting disciplines, core body of knowledge, major forms of intelligence, and …
Artificial Intelligence Empowers Particle Physics And Nuclear Physics: From Fundamental Research To Major Applications, Yifang Wang, Yuan He, Yao Huang, Wanbing He, Yi Jiao, Congqiao Li, Ke Li, Beijiang Liu, Yingqi Ma, Yugang Ma, Longgang Pang, Fazhi Qi, Sichao Tan, Chunpeng Wang, Meng Wang, Xiaoheng Xu, Xing Xu, Zhentang Zhao, Yingxun Zhang, Zhengde Zhang, Hongwei Zhao, Lina Zhao
Artificial Intelligence Empowers Particle Physics And Nuclear Physics: From Fundamental Research To Major Applications, Yifang Wang, Yuan He, Yao Huang, Wanbing He, Yi Jiao, Congqiao Li, Ke Li, Beijiang Liu, Yingqi Ma, Yugang Ma, Longgang Pang, Fazhi Qi, Sichao Tan, Chunpeng Wang, Meng Wang, Xiaoheng Xu, Xing Xu, Zhentang Zhao, Yingxun Zhang, Zhengde Zhang, Hongwei Zhao, Lina Zhao
Bulletin of Chinese Academy of Sciences (Chinese Version)
Particle physics and nuclear physics are core foundational disciplines for exploring the fundamental structure of matter and the origin of the universe. The deep integration of artificial intelligence (AI) technology is providing entirely new pathways to address systemic challenges such as the processing of massive amounts of multimodal data, the realization of extreme experimental conditions, bottlenecks in theoretical calculations, and the intelligent control of large-scale scientific facilities. The article systematically elaborates on how AI deeply empowers particle physics and nuclear physics, particularly in major application scenarios such as research on the fundamental structure and origin of mass of matter, the …
Consolidating Chemical Substance Creation Capability Through Ai For Science-Enabled Innovation Equity, Mengchu Jin, Wandong Wang, Jun Zhang, Yi Luo, Zaiku Xie, Jinlong Yang, Jun Jiang
Consolidating Chemical Substance Creation Capability Through Ai For Science-Enabled Innovation Equity, Mengchu Jin, Wandong Wang, Jun Zhang, Yi Luo, Zaiku Xie, Jinlong Yang, Jun Jiang
Bulletin of Chinese Academy of Sciences (Chinese Version)
AI for Science (hereinafter referred to as AI4S) is driving profound changes in the paradigm of scientific research. Chemistry, as a central discipline for creating new substances and supporting major national strategic needs such as energy, health, dual carbon goals, advanced manufacturing, and ecological governance, is an important application scenario of AI4S. At present, innovation in the discipline of chemistry by young researchers still faces knowledge silos, capability silos, and resource silos: the accumulation of professional knowledge requires years of effort, frontier knowledge is highly differentiated, experimental capabilities are difficult to reuse, and high-end resources are difficult to coordinate, which …
Artificial Intelligence-Enabled Materials Innovation: Implementation Levels And Strategic Layout, Ziwei Zhao, Fengxiang Zhou, Yanglili Zhou, Can Wang, Pei Zhang, Weihua Wang
Artificial Intelligence-Enabled Materials Innovation: Implementation Levels And Strategic Layout, Ziwei Zhao, Fengxiang Zhou, Yanglili Zhou, Can Wang, Pei Zhang, Weihua Wang
Bulletin of Chinese Academy of Sciences (Chinese Version)
Materials innovation has long been constrained by vast design spaces, complex processing routes, lengthy validation cycles, and difficulties in engineering translation. Traditional research and development models, which mainly rely on accumulated experience, theoretical deduction, and experimental trial and error, have become increasingly insufficient to meet the demand for rapid breakthroughs in critical materials. In recent years, artificial intelligence has been increasingly integrated into materials design, synthesis, and processing, characterization, evaluation, optimization, and application feedback, promoting the transformation of materials innovation from experience-driven exploration to data-driven development and from discrete trial and error to closed-loop optimization. Based on an analysis of …
Artificial Intelligence Empowered Biological Research: Paradigm Shifts, Application Scenarios, And Strategic Layout, Xinguang Zhu, Yiming Bao, Zhenong Jin, Xin Li, Sijia Wang, Yueming Wang, Yungui Yang, Cao Xu, Yan Xiong, Bin Han
Artificial Intelligence Empowered Biological Research: Paradigm Shifts, Application Scenarios, And Strategic Layout, Xinguang Zhu, Yiming Bao, Zhenong Jin, Xin Li, Sijia Wang, Yueming Wang, Yungui Yang, Cao Xu, Yan Xiong, Bin Han
Bulletin of Chinese Academy of Sciences (Chinese Version)
Life related processes are characterized by high dimensionality and multi-scale properties. Understanding mechanisms underpinning life processes helps promote national healthcare, agricultural development, sustainable ecological civilization, and national security. Current life science research is confronted with an enormous challenge of dimensionality stemming from data explosion and data fragmentation, for which the recent rapid advancement of artificial intelligence (AI) provides novel solutions. AI will catalyze a paradigm shift in life science research from the current experiment based empirical induction to a new closed-loop knowledge acquisition including large scale data collection, model building, model prediction, experimental validation, and iterative of these procedures. Life …
Artificial Intelligence–Driven Paradigm Transformation In Biopharmaceutical R&D: Applications And Emerging Scenarios, Lili Liu, Mingyue Zheng, Ye Yuan, Xutong Li, Rong Fan, Wei Wei, Jinxin Zhao, Guobin Qi, Hua Yue, Likun Gong, Songping Zhang, Jiachen Li, Yuchen Sun, Xiaoyan Chen, Yao Chen, Xin Liu, Xiao Zhang, Yuehong Gao, Jianfeng Li, Kaixian Chen, Guanghui Ma, Jianmin Yue
Artificial Intelligence–Driven Paradigm Transformation In Biopharmaceutical R&D: Applications And Emerging Scenarios, Lili Liu, Mingyue Zheng, Ye Yuan, Xutong Li, Rong Fan, Wei Wei, Jinxin Zhao, Guobin Qi, Hua Yue, Likun Gong, Songping Zhang, Jiachen Li, Yuchen Sun, Xiaoyan Chen, Yao Chen, Xin Liu, Xiao Zhang, Yuehong Gao, Jianfeng Li, Kaixian Chen, Guanghui Ma, Jianmin Yue
Bulletin of Chinese Academy of Sciences (Chinese Version)
The biopharmaceutical industry is a critical domain underpinning national scientific and technological innovation development and public health. With the rapid advancement of artificial intelligence (AI) and its deep integration with the life sciences, biomedicine research is undergoing a paradigm shift from traditional experience-driven trial-and-error approaches to data-driven and predictive validation-based models. This study systematically examines the pathways for reshaping research in biomedicine paradigms under the convergence of data-driven, mechanism-driven, and intelligence-driven approaches. It focuses on recent advances in the application of AI across key stages, including drug discovery and design, druggability evaluation, delivery system design and optimization, nonclinical and clinical …
Artificial Intelligence For Cybersecurity: Opportunities, Challenges, And Approaches, Kai Chen, Ding Li, Guozhu Meng, Shouling Ji, Changjiang Li, Yi Yang, Dengguo Feng
Artificial Intelligence For Cybersecurity: Opportunities, Challenges, And Approaches, Kai Chen, Ding Li, Guozhu Meng, Shouling Ji, Changjiang Li, Yi Yang, Dengguo Feng
Bulletin of Chinese Academy of Sciences (Chinese Version)
Cybersecurity research, institutional structures, and governance policies are undergoing profound transformations. Currently, increasingly covert and rapidly evolving intelligent attacks, coupled with the national urgent expectations for high-level security, are driving significant shifts in the roles and interactions of governments, research institutions, and enterprises. Consequently, this study, based on analyzing the challenges and opportunities of the AI era, explores core application scenarios such as critical information infrastructure protection, national data security, and the maintenance of cyberspace sovereignty. It provides an analysis of artificial intelligence in dimensions such as correlation and causality, and proposes a governance framework, aiming to provide insights for …
Artificial Intelligence For Astronomy: Strategic Opportunities, Policy Challenges And Development Strategies, Jin Chang, Yihan Song, Bing Du, Kefei Wu, Ali Luo, Jifeng Liu
Artificial Intelligence For Astronomy: Strategic Opportunities, Policy Challenges And Development Strategies, Jin Chang, Yihan Song, Bing Du, Kefei Wu, Ali Luo, Jifeng Liu
Bulletin of Chinese Academy of Sciences (Chinese Version)
To alleviate the bottlenecks hindering the integrated development of artificial intelligence and astronomy in China and to reinforce the country’s strategic edge in science and technology, this study uses systematic analysis and path-comparison approaches to examine the policy requirements for their deep integration. The findings indicate that this topic is closely tied to global competition in science and technology, strategic security, and industrial upgrading. At present, the world has entered a new “astronomy + AI” paradigm, with the United States and the European Union already having taken the lead in establishing corresponding strategic frameworks. Leveraging major scientific infrastructures such as …