Accounting for temporal and spatial autocorrelation to examine the effects of climate change on vegetation greenness trend in China by Lingwei Chen, Likai Zhu, Cuiyutong Yang, Zizhen Dong, Rui Huang, Jijun Meng, Min Liu

“…The common practice to detect and explain greenness pattern from remote sensing time series is mostly based on pixel-by-pixel analysis, which often fails to account for spatial autocorrelation and may lead to spurious patterns. …”
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An Epidemiological and Multidrug Resistance Study for E. coli Isolated from Urinary Tract Infection (Three Years of Study) by Mahde S. Assafi, Fawwaz F. Ali, Reem Fouad Polis, Nisreen Jawad Sabaly, Sozan Muhsin Qarani

“…The uropathogenic E. coli rate was higher, statistically not significant, in females (21.4%) than males (18.5%) (P=0.4946). …”
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Cross-sectional and longitudinal trajectory analyses of sleep duration and frailty among middle-aged and older Chinese adults by Wei Zheng, Yan Sun, Xianling Liu, Miao Lu, Di Xu

“…Conversely, the initial level of frailty significantly negatively predicted the initial level of sleep duration (β = − 0.36, P < 0.001), and the rate of change in frailty negatively predicted the rate of change in sleep duration (β = − 0.71, P < 0.001). …”
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A Dual-Strategy Framework for Cyber Threat Detection in Imbalanced, High-Dimensional Data Across Heterogeneous Networks by T. Saranya, S. Indra Priyadharshini

“…The proposed IDS is evaluated using metrics that specifically evaluate anomaly detection capabilities, such as Accuracy, Precision, DR (Detection Rate), Specificity, MR (Miss Rate), FAR (False Alarm Rate), F1-Score, Cohen&#x2019;s Kappa, MCC, ROC-AUC. …”
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Comorbidity health pathways in heart failure patients: A sequences-of-regressions analysis using cross-sectional data from 10,575 patients in the Swedish Heart Failure Registry. by Claire A Lawson, Ivonne Solis-Trapala, Ulf Dahlstrom, Mamas Mamas, Tiny Jaarsma, Umesh T Kadam, Anna Stromberg

“…The following hypotheses were tested: (i) comorbidities are associated with more severe symptoms and functional limitations and subsequently worse patient-rated health in HF, and (ii) these patterns of association differ among selected comorbidities.…”
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Learning place cells and remapping by decoding the cognitive map by Markus Borud Pettersen, Vemund Schøyen, Anders Malthe-Sørenssen, Mikkel E Lepperød

“…These cells exhibit marked tuning curves and rate changes when an animal’s environment is sufficiently manipulated, in a process known as remapping. …”
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Attention-Enhanced CNN-LSTM Model for Exercise Oxygen Consumption Prediction with Multi-Source Temporal Features by Zhen Wang, Yingzhe Song, Lei Pang, Shanjun Li, Gang Sun

“…We tackled two key obstacles—the limited fusion of heterogeneous sensor data and inadequate modeling of long-range temporal patterns—by integrating wearable accelerometer and heart-rate streams with a convolutional neural network–LSTM (CNN-LSTM) architecture and optional attention modules. …”
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Premium intraocular lens adoption: Insights from a national health insurance analysis by Chi-Ying Huang, Christy Pu, Chiun-Ho Hou

“…Specifically, the adoption rate for premium IOLs was 35.2% in 2016, rising to 42.6% in 2020. …”
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TaER Expression Is Associated with Transpiration Efficiency Traits and Yield in Bread Wheat. by Jiacheng Zheng, Zhiyuan Yang, Pippa J Madgwick, Elizabete Carmo-Silva, Martin A J Parry, Yin-Gang Hu

“…Significant differences were also observed between the three groups varying for TaER expression for several transpiration efficiency (TE)- related traits, including stomatal density (SD), transpiration rate, photosynthetic rate (A), instant water use efficiency (WUEi) and carbon isotope discrimination (CID), and yield traits of biomass production plant-1 (BYPP) and grain yield plant-1 (GYPP). …”
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A Hardware Architecture of a Dynamic Ranking Packet Scheduler for Programmable Network Devices by Mostafa Elbediwy, Bill Pontikakis, Jean-Pierre David, Yvon Savaria

“…The introduction of Software-Defined Networking (SDN) separated the control and data forwarding planes, but the data plane still requires a fully programmable packet scheduler that can adapt to different traffic patterns and offer high expressiveness at line rate. …”
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Modelling cold firn evolution at Colle Gnifetti, Swiss/Italian Alps by M. Gastaldello, E. Mattea, M. Hoelzle, H. Machguth

“…At the saddle point (SP), our results show surface melt increasing at a rate of 0.53 cm w.e. yr<span class="inline-formula">⁻²</span> – representing a doubling over the 21-year period. …”
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Modeling of spatial spread of COVID-19 pandemic waves in Russia using a kinetic-advection model by V. V. Aristov, A. V. Stroganov, A. D. Yastrebov

“…In addition to the high infection rate, the high spread rate is due to the increased mobility of contemporary populations. …”
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Response of Water-Use Efficiency (WUE) in Alpine Grasslands to Hydrothermal and Radiative Factors Across Elevation Gradients by Ye Tian, Wan Zhang, Xiao Xu, Bingrong Zhou, Xiaoyun Cao, Bin Qiao

“…Moreover, contribution rate analysis showed an elevation-dependent shift in WUE control: evapotranspiration (ET) exerted a dominant influence at low elevations (contribution rate: −82.50%), while net primary productivity (NPP) became the primary driver at high elevations (contribution rate: 54.71%). …”
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Driving Forces and Future Scenario Simulation of Urban Agglomeration Expansion in China: A Case Study of the Pearl River Delta Urban Agglomeration by Zeduo Zou, Xiuyan Zhao, Shuyuan Liu, Chunshan Zhou

“…The results indicate the following: (1) During 1990–2020, urban expansion in the Pearl River Delta urban agglomeration exhibited a “stepwise growth” pattern, with an annual expansion rate of 3.7%. Regional land use remained dominated by forest (accounting for over 50%), while construction land surged from 6.5% to 21.8% of total land cover. …”
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Effect of attentional bias modification on pre-competition anxiety in athletes by Jing Zhao, Yuhan Yang, Heng Zhang, Yu Nie, Qiulin Wang

“…Attentional bias correction training (ABMT) aims to modify these attention patterns with the aim of alleviating anxiety symptoms. …”
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Dietary intake and five types of mental disorders: a bidirectional Mendelian randomization study by Yichun Zhang, Mingzhu Zhang, Qihua Guan, Pengcheng Liu, Wangxin Zhang, Song Yang, Hualei Dong, Haifeng Hou

“…Studies have linked mental disorders to poor dietary patterns. The study aimed to estimate the causal relationship between dietary macronutrient intake and mental disorders using a bidirectional two-sample Mendelian randomization (MR) analysis. …”
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Dynamical modeling of syncytial mitotic cycles in Drosophila embryos by Laurence Calzone, Denis Thieffry, John J Tyson, Bela Novak

“…Numerical simulations reproduce the main features of wild‐type mitotic cycles: patterns of protein accumulation and degradation, lengthening of later cycles, and arrest in interphase 14. …”
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Using confidence, decision time, and confidence entropy to predict accuracy for online and real eyewitnesses by Adele Quigley-McBride, Rachel Leigh Greenspan

“…Confidence was measured in three ways: human-coded verbal statements, AI-classified verbal statements, and numeric ratings. We compared the correspondence between these confidence metrics, how multiple reflector variables relate to accuracy, and whether these patterns differ across two datasets. …”
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Verbal fluency tasks and attention problems in children with ADHD: evidence from fNIRS by Zouji Bian, Xiquan Ma, Yanhan Wang, Xiaodan Yu

“…Associations with the Swanson, Nolan, and Pelham Rating Scale (SNAP-IV) and Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-V) scores were examined.ResultsChildren with ADHD showed significantly lower DLPFC activation and widespread negative patterns compared to neurotypically developed peers (p &lt; 0.05). …”
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Professional success as a criterion for assessing efficiency of football clubs’ intellectual capital management /Professional success as a criterion for assessing efficiency of foo... by H.V. Mysaka, I.A. Derun

“…In response to the latest realities and patterns of economic relations, intellectual capital confidently received the status of the fourth factor of production. …”
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