Image super-resolution reconstruction based on multi-scale dual-attention by Hong-an Li, Diao Wang, Jing Zhang, Zhanli Li, Tian Ma

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Analytical Characterization of Self-Similarity in <i>k</i>-Cullen Sequences Through Generating Functions and Fibonacci Scaling by Hakan Akkuş, Bahar Kuloğlu, Engin Özkan

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Scale symmetry breaking and generation of mass at quantum critical points by Charlie Cresswell-Hogg, Daniel F. Litim

“…Exactly at the endpoint, scale symmetry is broken spontaneously, leading to the generation of fermion mass. …”
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Clinical functioning information tool – coronavirus disease 2019 (ClinFIT COVID-19): psychometric evaluation and development of an interval-scaled functioning score across the care... by Masahiko Mukaino, Catarina Aguiar Branco, Alia Alghwiri, Sonia Amato, Antonios Kontaxakis, Mihai Berteanu, Hüma Bölük Şenlikci, Pinar Borman, Salmane Diouane, Maryam Fourtassi, Francesca Gimigliano, Abderrazak Hajjioui, Xiaolei Hu, Sinforian Kambou, Cho-I Lin, Mohamed I. Mabrouk, Evanthia Mitsiokapa, Remus Iulian Nica, Christina-Anastasia Rapidi, Gabriella Serlenga, Arianna Silvestri, Sinikka Tarvonen-Schröder, Clara Ursescu, Arja Viinanen, Panagiotis Vorniotakis, Melissa Selb

“…Objective: to report on the development and global testing of the COVID-19 version of the International Classification of Functioning, Disability and Health-based Clinical Functioning Information Tool called “ClinFIT COVID-19” to collect functioning data of rehabilitation patients across the care continuum to establish an interval-scaled functioning score. …”
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Effects of Interfacial Charges On Doped and Undoped HFOX Stack Layer with Tin Metal Gate Electrode For Nano-Scaled CMOS Generation by S. Chatterjee, Y. Kuo

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Integrating surveying, photogrammetric, and remote sensing data to generate large-scale maps by Przemysław Klapa, Pelagia Gawronek, Tadeusz Gargula, Agnieszka Sokołowska, Kamil Sajdak

“…Information acquired this way, supplemented with spatial data from official (state-controlled) surveying and cartographic resources, paves the way for generating large-scale maps, including the master map, in line with applicable legal and technical requirements. …”
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Large-Scale Periodic Gust Generation and Spectral Analysis Approach for Characterization and Evaluation by Berk Zaloglu, Oksan Cetiner

“… Generating a periodic continuous gust in a controlled manner and at sufficiently large scales for the gust encounter studies on MAV applications is a challenge. …”
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Transcriptome-scale analysis of functional alternative back-splicing events in colorectal cancer by Qianqian Ning, Qian Jin, Lei Zhao, Yudi Wang, Jie Wang, Lili Yang, Ye Han, Qiaoming Zhi, Junnian Zheng, Feifei Chen, Dong Dong

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Detecting Urban Mobility Structure and Learning Functional Distribution with Multi-Scale Features by Jia Li, Chuanwei Lu, Haiyan Liu, Jing Li, Dewei Zhou, Qingyun Liu

“…First, we designed a multi-scale contrastive learning strategy to effectively learn local human activity features and global spatial structure features, determine the community affiliation of regions, and generate regional embedding vectors. …”
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Multi-Scale Feature Fusion GANomaly with Dilated Neighborhood Attention for Oil and Gas Pipeline Sound Anomaly Detection by Yizhuo Zhang, Zhengfeng Sun, Shen Shi, Huiling Yu

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Graphene-Based Plasmonic Antenna for Advancing Nano-Scale Sensors by Waqas Ahmad, Yihuan Wang, Guangqing Du, Qing Yang, Feng Chen

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Reservoir Stochastic Simulation Based on Octave Convolution and Multistage Generative Adversarial Network by Xuechao Wu, Wenyao Fan, Shijie Peng, Bing Qin, Qing Wang, Mingjie Li, Yang Li

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On the emergent scale of bedrock groundwater contribution to headwater mountain streams by Isabellah von Trapp, Kelsey G. Jencso, Zachary H. Hoylman, Robert Livesay, W. Payton Gardner

“…We investigated the contribution of bedrock groundwater to streamflow as a function of catchment scale in a headwater stream. …”
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Pan-genome-scale metabolic modeling of Bacillus subtilis reveals functionally distinct groups by Maxwell Neal, William Brakewood, Michael Betenbaugh, Karsten Zengler

“…Since then, several updated reconstructions have been generated for this model microorganism. Here, we expand the metabolic model for a single strain into a pan-genome-scale model, which consists of individual models for 481 B. subtilis strains. …”
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Superfield twist-2 operators in N $$ \mathcal{N} $$ = 1 SCFTs and their renormalization-group improved generating functional in N $$ \mathcal{N} $$ = 1 SYM theory by Giacomo Santoni, Francesco Scardino

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Large-scale signal propagation modes in the human brain by Youngjo Song, Pyeong Soo Kim, Benjamin A. Philip, Taewon Kim

“…Crucially, we demonstrate that the superposition of these modes generates canonical spatiotemporal phenomena—including wave propagation, time-varying functional connectivity, and quasi-periodic patterns. …”
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Economic Feasibility of Agrivoltaic Systems for Sustainable Small Scale Farming by Juli Burden, Tai McClellan Maaz, Makena Coffman, Ngonidzashe Chirinda, Sunday A. Leonard, Michael Kantar

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Construction of multi-targeted CRISPR libraries in tomato to overcome functional redundancy at genome-scale level by Amichai Berman, Ning Su, Zhuorong Li, Udi Landau, Joydeep Chakraborty, Natali Gerbi, Jia Liu, Yuntai Qin, Boxi Yuan, Wei Wei, Osnat Yanai, Itay Mayrose, Yuqin Zhang, Eilon Shani

“…Additionally, we develop CRISPR-GuideMap, a double-barcode tagging system to enable large-scale sgRNA tracking in generated plants. Our results demonstrate that multi-targeted CRISPR libraries are scalable and effective for large-scale gene editing and offer an approach to overcome gene functional redundancy in basic plant research and crop breeding.…”
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Feasibility of simplified Patlak parametric imaging with scaled population-based input function on pancreatic cancer by Zhixin Hao, Haiqiong Zhang, Yonghong Dang, Jiangdong Qiu, Mengshi Yan, Xinchun Yan, Zhenghai Huang, Chao Ren, Taiping Zhang, Wenming Wu, Li Huo

“…Abstract Background This study evaluates the feasibility of using a simplified Patlak parametric imaging technique with a scaled population-based input function (sPBIF) in pancreatic cancer. …”
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Averaging principle for two-time-scale stochastic functional differential equations with past-dependent switching by Minyu Wu, Xizhong Yang, Feiran Yuan, Xuyi Qiu

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