Chaotic oceanic excitation of low-frequency polar motion variability by L. Börger, M. Schindelegger, M. Zhao, R. M. Ponte, A. Löcher, B. Uebbing, J.-M. Molines, T. Penduff

“…We find that intrinsic <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M2" display="inline" overflow="scroll" dspmath="mathml"><mrow><msup><mover accent="true"><mi mathvariant="italic">χ</mi><mo stretchy="false" mathvariant="normal">^</mo></mover><mi mathvariant="normal">O</mi></msup></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="16pt" height="15pt" class="svg-formula" dspmath="mathimg" md5hash="5a07498b9a02c6f507300fc609dd0ab6"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="esd-16-75-2025-ie00002.svg" width="16pt" height="15pt" src="esd-16-75-2025-ie00002.png"/></svg:svg></span></span> signals are comparable in magnitude to the forced component at all resolved periods except the seasonal band, amounting to <span class="inline-formula">∼</span> 46 % of the total oceanic excitation (in terms of standard deviation) on interannual timescales. …”
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Identification of Suitable Villages for Agritourism Development (A Case Study of Semirom County) by Narges Vazin, Ali Sadeghi, Zahra Barati

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Analyzing the Influence of Company's Business Strategy and Its Components as a Factor of Information Risk on Excess Stock Returns by Alireza Rahrovi Dastjerdi, Daryoosh Forooghi, Zahra Moradi

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Analyzing Worn-Out Texture Regeneration from Urban Branding Perspective Using Structural Equation Modeling (SEM) (Case Study: Worn-Out Texture of Shahr-e-Kord) by Dvood Mahdavi, Ali Mohammadi Gojani, Waliullah Nazari

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Stromal architecture and fibroblast subpopulations with opposing effects on outcomes in hepatocellular carcinoma by Yifei Cheng, Xiaofang Chen, Li Feng, Zhicheng Yang, Liyun Xiao, Bin Xiang, Xiaodong Wang, Dongbin Liu, Penghui Lin, Jieyi Shi, Guohe Song, Wulei Qian, Boan Zhang, Yanan Xu, Zheng Gao, Lv Chen, Yingcheng Wu, Jiaqiang Ma, Youpei Lin, Haichao Zhao, Lihua Peng, Xuebin Mao, Yang Liu, Hao Hou, Mingyu Yang, Yuan Ji, Xiaoying Wang, Jian Zhou, Xun Xu, Xiyang Liu, Wu Wei, Xiaoming Zhang, Qiang Gao, Hu Zhou, Yidi Sun, Kui Wu, Jia Fan

“…Using paired single-cell RNA and epigenomic sequencing with Stereo-seq, we revealed two fibroblast subsets CAF-FAP and CAF-C7, whose spatial enrichment strongly correlated with the two stromal archetypes and opposing patient prognosis. …”
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Understanding summertime peroxyacetyl nitrate (PAN) formation and its relation to aerosol pollution: insights from high-resolution measurements and modeling by B. Hu, B. Hu, B. Hu, N. Chen, N. Chen, R. Li, M. Huang, M. Huang, M. Huang, J. Chen, J. Chen, Y. Hong, Y. Hong, L. Xu, L. Xu, X. Fan, X. Fan, M. Li, M. Li, L. Tong, Q. Zheng, Y. Yang

“…Controlling emissions of VOCs, particularly alkenes, C<span class="inline-formula">₅</span>H<span class="inline-formula">₈</span>, and aromatics, would mitigate PAN pollution. …”
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غوطه‌وری کاغذ در موم‌زنبور‌عسل امولسیون‌شده با روش اولتراسونیک و بررسی تأثیر آن بر ویژگی‌های کاغذ... by مقدسه اکبری, الیاس افرا, محمد رضا دهقانی فیروزآبادی, سید مجید ذبیح‌زاده

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بررسی تأثیرات خشک‌سالی بر کیفیت منابع آب سطحی پُل دختر by مسعود گودرزی, رحیم کاظمی

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The Volatile Composition and Activity Evolution of Main-belt Comet 358P/PANSTARRS by Henry H. Hsieh, John W. Noonan, Michael S. P. Kelley, Dennis Bodewits, Jana Pittichová, Audrey Thirouin, Marco Micheli, Matthew M. Knight, Michele T. Bannister, Colin O. Chandler, Carrie E. Holt, Matthew J. Hopkins, Yaeji Kim, Nicholas A. Moskovitz, William J. Oldroyd, Jack Patterson, Scott S. Sheppard, Nicole Tan, Chadwick A. Trujillo, Quanzhi Ye

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Risk factors analysis and modeling prediction of non-alcoholic fatty liver disease in asymptomatic young adults (青年无症状体检人群非酒精性脂肪肝危险因素分析及建模预测)... by LIU Xiaoliu (刘晓柳), GAO Yunfei (高芸飞), WANG Haibo (王海波), WANG Hui (王慧), HUANG Lijuan (黄丽娟), ZHANG Lijun (张丽君)

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A randomized trial of blended first aid education for the public

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APG mergence and topological potential optimization based heuristic user association strategy by Zhirui HU, Meihua BI, Fangmin XU, Meilin HE, Changliang ZHENG

“…Therefore, it is reasonable to model the problem of improving network scalable degree as minimizing network coupling degree,and it is feasible to improve network scalable degree by reducing network coupling degree.2)The upper limit of computational complexity of the proposed algorithm is <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML"> <mi mathvariant="script">O</mi><mo stretchy="false">(</mo><mi>K</mi><mi>N</mi><msub> <mi>log</mi> <mn>2</mn> </msub> <mi>N</mi><mo>+</mo><msup> <mi>k</mi> <mn>2</mn> </msup> <mo>+</mo><mi>N</mi><mi>N</mi><msub> <mover accent="true"> <mi>N</mi> <mo>¯</mo> </mover> <mtext>p</mtext> </msub> <mo stretchy="false">)</mo></math></inline-formula>,while that of directly solving the optimization problem is<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML"><mi mathvariant="script">O</mi><mo stretchy="false">(</mo><msup> <mi>N</mi> <mrow> <msub> <mover accent="true"> <mi>N</mi> <mo>¯</mo> </mover> <mtext>u</mtext> </msub> <mi>K</mi></mrow> </msup> <mo stretchy="false">)</mo></math></inline-formula>.3)For theoretical analysis of the network scalable degree,take Fig.3 as an example.If AP2 changes,12 APs in Fig. 3(a)are affected and the network scalable degree is η₂=0.51,while 4 APs in Fig.3(c)are affected and the network scalable degree is η₂=0.79.4)Fig.5 shows the simulation results of network scalable degree.Compared with the traditional strategy,the network scalable degree is improved by 9.59% with 4.43% user rate loss.Compared with the strategy in[10],the network scalable degree is improved by 22.15% with 4.99% user rate loss. 5) The algorithm parameters, the threshold β₀of overlap rate and the upper limit number N₀of AP associated, effect the performance.As shown in Fig.6,with β₀or N₀decreases,η increases and the total user rate decreases. …”
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Cyborg Adolescents and Digital Data: Examining Education and Revenue Generation in the Digital Lives of Youth through More-than-Human Ethnography by Davood Zahrani, Ali Hashemianfar, Ahmad Mehrshad

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