Recent advances in ultra-precision machining of lithium niobate crystals by Yebing TIAN, Chengwei WEI, Xiaomei SONG, Cheng QIAN

“…The stability and reliability of optoelectronic devices are significantly influenced by the generation and evolution of surface and subsurface damages. …”
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Management and Operation Transformation of Urban Park Green Spaces from the Perspectives of Public Goods Provision and Fiscal Sustainability by Peiyi JIA

“…The research adopts a multi-dimensional analytical approach, combining historical – institutional analysis on the evolution of urban park green spaces, paying attention to the logic and backgrounds of policy-making, as well as relevant policies and regulations across different historical periods, and examining the evolutionary process of policy adjustments and their interplay with shifting societal demands about urban park green space.ResultsThe research delineates the systemic challenges driving the imperative for park governance reform, framed within three transformation shifts. …”
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Syntactic Analysis of Spatial Structure Characteristics of Traditional Villages Along the Yellow River in Western Shanxi Province by Chenge GAO, Fang WANG

“…This research explores the intrinsic connections between the spatial form and structure of traditional village settlements and between relevant cognitive and behavioral patterns, and explains the generation and evolution of landscape patterns, in an effort to enhance the understanding of the integration and centripetal degree of local and overall spatial functions within the village domain, the perceptibility of the spatial system, the consistency of behavioral experiences among residents and visitors, and the potential of local spaces to contribute to the overall spatial construction.MethodsThis research uses cluster sampling to select 33 national-level traditional villages in the four counties along the Yellow River in Lyuliang City, Shanxi Province, located on the eastern side of the Jin-Shaan Gorge in the middle reaches of the Yellow River. …”
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New understanding and research directions of oil and gas accumulation in Paleozoic buried hills， Jiyang Depression by WANG Yongshi, ZHANG Pengfei, WANG Xuejun, MA Shuai, LUO Xia, ZHANG Yunyin, XIONG Wei, WANG Yong, TIAN Wen, LIU Ruijuan

“…In the long geological evolution process， multi-stage structures， faults， and deep fluid activities are strong， making the buried hill have the characteristics of evolutionary superposition， structural diversity， reservoir complexity， multi-sources of oil and gas， and accumulation differences. …”
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Re-use of Building Products in the Netherlands by Loriane Icibaci

“…Although in the real world different factors combined influence changes in the housing stock, in this research, the method to analyze trends in the housing stock behavior explored the evolution of different characteristics in the stock through binary “increase” or “decrease” trends based on historical data. …”
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Study on microscopic mechanism of wetting anthracite by charged droplets by Hongjie ZHANG, Yuming ZHAO, Shaocheng GE, Weizhi ZHAO

“…Secondly, the molecular simulation method was employed to investigate the interaction mechanism between the charged droplets and anthracite from the dimensions of electronic structure calculation at the quantum mechanical level and conformational evolution at the molecular dynamics level. The findings indicate that the charged solutions exhibited superior wetting performance on coal dust, with the contact angle between charged droplets and coal dust showing an overall downward trend as the charging voltage increased, and the minimum contact angle and optimal wetting performance were achieved at −24 kV charging voltage. …”
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Research progress on alkaline earth aluminates for dispenser cathodes by Zichen LI, Yunfei YANG, Yongfeng CAI, Zheng LIU, Junhao SUN, Hongmei LIU, Wenyuan ZHOU, Shizhong WEI, Jinshu WANG

“…Data on the structure of various impregnants and the phase diagrams of binary and ternary alkaline earth metal aluminates clarify the contribution of different impregnants to cathode performance. Finally, an outlook on the development of alkaline earth aluminates for dispenser cathodes is presented, including crystal structure analysis, stability adjustments, and preparation process optimization.…”
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Cultivation Method Analysis for Teachers’ Teaching Ability Driven by Artificial Intelligence Technology by Yanfang Chen, Shasha Xu

“…Colleges and universities have reached a new stage in their evolution, one marked by intelligent use of technology, as represented by the fourth generation of information technology: cloud computing, big data, and artificial intelligence. …”
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Urban Heat Island Effect: Remote Sensing Monitoring and Assessment—Methods, Applications, and Future Directions by Lili Zhao, Xuncheng Fan, Tao Hong

“…The paper first analyzes the formation mechanisms and impacts of urban heat islands, then traces the evolution of remote sensing technology from early traditional platforms such as Landsat and NOAA-AVHRR to modern next-generation systems, including the Sentinel series and ECOSTRESS, emphasizing improvements in spatial and temporal resolution and their application value. …”
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Experimentally validated transient enthalpy-based FEM model for PCM-integrated building materials with advanced thermal and energy efficiency insights by Ajitanshu Vedrtnam, Kishor Kalauni, Nelson Soares

“…Through extensive parametric analysis, the model reveals critical insights into temperature profiles, phase boundary evolution, entropy generation, and energy efficiency across different material depths. …”
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An RTM-Driven Machine Learning Approach for Estimating High-Resolution FAPAR From LANDSAT 5/7/8/9 Surface Reflectance by Guodong Zhang, Gaofei Yin, Yi Zhang, Jiangchuan Hu, Zongyan Li, Changjing Wang, Dujuan Ma, Jiangliu Xie

“…A coupled land–atmosphere RT model (RTM) and shuffled complex evolution optimization algorithm were first implemented at globally distributed VIIRS pixels for realistic simulation of land surface reflectance corresponding Landsat spectral bands and FAPAR under various conditions. …”
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Study on the Strength Characteristics and Microscopic Structure of Artificial Structural Loess by Yao Zhang, Jianxiang Qin, Gang Li, Minghang Shao, Shuaifeng Gao

“…The minimum differences in the cohesion and inner friction angle between W₁₆-Y_2.0C_2.0 and undisturbed soil are 2 kPa and 0.2°, respectively, indicating that W₁₆-Y_2.0C_2.0 is the optimal structural soil with a structural strength closest to that of undisturbed soil. …”
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The Relationship Between Biological Noise and Its Application: Understanding System Failures and Suggesting a Method to Enhance Functionality Based on the Constrained Disorder Prin... by Yaron Ilan

“…This review presents evidence supporting this principle across different biological contexts, such as genetic variability, cellular behavior, brain functions, human behavior, aging, evolution, and drug administration. …”
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Simulated division of flood processes in the composite terrain region based on the multi-layer hydrological process combination model by Qiang Hui, Jungang Luo, Jie Hou, Huhu Cui, Ganggang Zuo

“…Abstract Different surfaces and climatic conditions in various topographic regions lead to significant differences in runoff generation, concentration, and flood characteristics. …”
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Information coevolution spreading model and simulation based on self-organizing multi-agents by Guoxin Ma, Kang Tian, Hongbo Sun, Hong Zhao, Yongyan Wang

“…While agent-based models (ABMs) are well-suited for modeling single-type contagion dynamics, they struggle to represent the microscopic interdependencies of co-evolving information types within different network topologies. This paper proposes a multi-information co-evolution propagation model based on self-organizing multi-agents, breaking through the limitations of traditional threshold spreading models and agent-based models. …”
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Segregating variation in the polycomb group gene cramped alters the effect of temperature on multiple traits. by Jean-Michel Gibert, François Karch, Christian Schlötterer

“…Therefore, natural populations continuously adapt to environment heterogeneity to maintain optimal phenotypes. It generates a high genetic variation in environment-sensitive gene networks, which is thought to facilitate evolution. …”
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Parity and longevity of Aedes aegypti according to temperatures in controlled conditions and consequences on dengue transmission risks. by Daniella Goindin, Christelle Delannay, Cédric Ramdini, Joël Gustave, Florence Fouque

“…Some females were dissected at different physiological stages to observe the ovaries development. …”
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Enhancing Sentiment and Emotion Classification with LSTM-Based Semi-Supervised Learning by Rochmat Husaini, Nur Heri Cahyana, Wisnalmawati Wisnalmawati, Tri Mardiana, Yuli Fauziah

“…The evolution of sentiment analysis has increasingly relied on semi-supervised learning (SSL) models, particularly due to their efficiency in utilizing large amounts of unlabeled data. …”
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Innovation network, knowledge spillover, and urban green economic performance by Dan Zhao, Chenghui Tang, Xiaolin Huang

“…It was found that (1) the enhancement of intercity innovation linkages and their networked development have significantly improved urban GTFP and the innovation network’s embeddedness helps obtain network externalities to improve urban GTFP. (2) The innovation network promotes inter-regional production factor flow and optimal allocation and generates knowledge spillover effects to improve green technology innovation capacity, thus improving urban GTFP. (3) Spatial heterogeneity exists in the impact of the innovation network on the GTFP of different regions and economically developed big cities by gathering more innovation resources, forming closer innovation links, improving the level of green technology innovation and production efficiency, and contributing to urban GTFP. …”
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An interaction relational inference method for a coal-mining equipment system by Xiangang Cao, Jiajun Gao, Xin Yang, Fuyuan Zhao, Boyang Cheng

“…CIRI’s interaction optimizer introduces an attention mechanism to assign weights to interaction relations, and it predicts future system states based on device-monitoring data and interaction relations, optimizing the types and weights of interaction relations between nodes by reducing prediction errors. …”
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