Photoacoustic Imaging with a Finite-Size Circular Integrating Detector by Shan Gao, Xili Jing, Mengyu Fang, Jingru Zhao, Tianrun Zhang

“…However, in circular integrating detection systems, the PSF exhibits spatial variations. …”
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Linear Quadratic Gaussian Integral Control for Secondary Voltage Regulation by Elio Chiodo, Pasquale Di Palma, Maurizio Fantauzzi, Davide Lauria, Fabio Mottola, Domenico Villacci

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Pour un amorcement des pratiques numériques en classe de langue, entre réflexions théoriques et variations actionnelles by Sarah Azizi, Zineb Borhani

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Incidence of Hot Flashes among Peri- and Postmenopausal Women in India: A Clinico-demographic Analysis by Mohandas Shobhana, Jyothi Ramesh Chandran, Neelam Aggarwal, Seema Sharma, Revty Jankiram, Anju Soni, Jyoti Jaiswal, Sudha Sharma, S. Lakshmi, Sheela Mane, Meeta Singh, Sushma Verma, Ritu Jain

“…The baseline demographics reveal regional variations in symptom prevalence, with distinct patterns observed across different zones in India. …”
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CO2 Conversion Through Dynamic Resource Integration in Different Geographic Regions by Mohammad Lameh, Dhabia M. Al-Mohannadi, Patrick Linke

“…The proposed method follows a generic representation of resource integration across different processing and storage options while considering power price dynamics, power-related emissions (scope 2), and renewable energy availability. …”
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Impact of Supply Chain Management on Business Sustainability: Case of Water Bottling Companies in and Around Finfinnee, Ethiopia by Tadesse Kenea Amentae, Girma Gebresenbet, Nuredin Jemal Abdela

“…Customer integration, supplier integration, and supply chain internal practices significantly influence business social sustainability performance. …”
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Regional and temporal variations in COVID-19 cases and deaths in Ethiopia: Lessons learned from the COVID-19 enhanced surveillance and response. by Gizaw Teka, Adane Woldeab, Nebiyu Dereje, Frehywot Eshetu, Lehageru Gizachew, Zelalem Tazu, Leuel Lisanwork, Eyasu Tigabu, Ayele Gebeyehu, Adamu Tayachew, Mengistu Biru, Tsegaye Berkessa, Abrham Keraleme, Fentahun Bikale, Wolde Shure, Admikew Agune, Bizuwork Haile, Beza Addis, Muluken Moges, Melaku Gonta, Aster Hailemariam, Laura Binkley, Saira Nawaz, Shu-Hua Wang, Zelalem Mekuria, Ayalew Aklilu, Jemal Aliy, Sileshi Lulseged, Abiy Girmay, Abok Patrick, Berhanu Amare, Hulemenaw Delelegn, Sharon Daves, Getnet Yimer, Ebba Abate, Mesfin Wossen, Zenebe Melaku, Wondwossen Gebreyes, Desmond E Williams, Aschalew Abayneh

“…These lessons should be critically considered during the integration of the COVID-19 surveillance system into the routine surveillance system.…”
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Effect of External Sensory Integration on Motor Functional Disorder In Children With Attention Deficit Hyperactive Disorder (Adhd) - A Pilot Study by Chhavi Kumar Sharma, Shahiduz Zafar

“…In India, ADHD affects a significant percentage of school-aged children, with variations across different regions. This study investigates the effectiveness of sensory integration therapy combined with conventional physiotherapy compared to conventional physiotherapy alone in treating motor functional disorders in children with ADHD. …”
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Integrating phylodynamics and epidemiology to estimate transmission diversity in viral epidemics. by Gkikas Magiorkinis, Vana Sypsa, Emmanouil Magiorkinis, Dimitrios Paraskevis, Antigoni Katsoulidou, Robert Belshaw, Christophe Fraser, Oliver George Pybus, Angelos Hatzakis

“…Here we describe a novel method that combines epidemiological and population genetic approaches to estimate the variation in transmissibility of rapidly-evolving viral epidemics. …”
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Assessing species interactions using integrated predator-prey models by Paquet, Matthieu, Barraquand, Frédéric

“…We further confirm that adding random temporal variation to multispecies density-dependent link functions does not alter these results. …”
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A Comparative Analysis of In Situ Testing Methods for Clay Strength Evaluation Using the Coupled Eulerian–Lagrangian Method by Hebo Wang, Yifa Wang, Biao Li, Wengang Qi, Ning Wang

“…The aim of this work is to provide a systematic comparison of strength interpretations across different in situ testing methods, with emphasis on identifying method-specific biases under varying soil behaviors. …”
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Analysis of Sediment Variation in Important Tributaries of the Yellow River in the Sandy and Coarse Sediment Area Based on Detrital Zircons and Hydrological Observations by Ting BAI, Niannian FAN, Yuanjian WANG, Ruihua NIE, Xingnian LIU

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Generating Artificial Patients With Reliable Clinical Characteristics Using a Geometry-Based Variational Autoencoder: Proof-of-Concept Feasibility Study by Fabrice Ferré, Stéphanie Allassonnière, Clément Chadebec, Vincent Minville

“… BackgroundArtificial patient technology could transform health care by accelerating diagnosis, treatment, and mapping clinical pathways. Deep learning methods for generating artificial data in health care include data augmentation by variational autoencoders (VAE) technology. …”
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Improved estimation of forage nitrogen in alpine grassland by integrating Sentinel-2 and SIF data by Yongkang Zhang, Jinlong Gao, Dongmei Zhang, Tiangang Liang, Zhiwei Wang, Xuanfan Zhang, Zhanping Ma, Jinhuan Yang

“…The results indicated that both the Sentinel-2 (V-R2 of 0.68–0.71, CVRMSE of 17.73–18.65%) and SIF data (V-R2 of 0.59–0.73, CVRMSE of 17.05–21.40%) individually yielded relatively accurate estimates of the forage nitrogen. The integrated model constructed using both spectral data types explained 69–74% of the variation in forage nitrogen content, with a CVRMSE ranging from 16.89 to 17.85%, which indicates that the synergy between Sentinel-2 and SIF data can slightly enhance the model’s estimation capability of forage nitrogen content. …”
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PTCTV-KMC: Infrared Small Target Detection Using Joint Partial Tensor Correlated Total Variation and K-Means Clustering by Zixu Huang, Erwei Zhao, Wei Zheng, Yan Wen, Xiaodong Peng, Wenlong Niu, Zhen Yang

“…To address this issue, we propose a joint partial tensor correlated total variation and <italic>k</italic>-means clustering (PTCTV-KMC) method that integrates local and global features. …”
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Cosmic-Ray Neutron Sensor Backpack for Assessing Spatial and Temporal Variations in Soil Water Content in an Agroforestry System in Northern Spain by Leticia Gaspar, Trenton E. Franz, Ana Navas

“…The results show that the CRNS backpack effectively captures spatial and temporal SWC variations. The CRNS method demonstrated advantages over point-scale sensors by providing integrated measurements at an intermediate scale, while Sentinel-2 data offered valuable insights into moisture variability through vegetation response. …”
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Optimization of Mangiferin extraction from Mangifera Indica leaves Peruvian Criollo variation using ultrasound assisted surface response methodology by Elena Sofia Espinoza Rodríguez, Stephanie Elena Sosa Pulcha, Naysha Y. M․ Elguera, Abdel Alejandro Portocarrero Banda, Hugo Guillermo Jiménez Pacheco

“…The evaluated variables included extraction temperature, time, and solvent composition, aiming to maximize yield while ensuring the integrity of the bioactive compound. The identification of mangiferin was confirmed through chromatographic analysis, where the optimized extract exhibited a retention time closely matching the mangiferin standard (10.930 min), reinforcing the method's accuracy. …”
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Spatial variation and predictors of anemia among women of reproductive age in Mozambique, 2022/23: a multiscale geographically weighted regression by Deresse Abebe Gebrehana, Tadesse Tarik Tamir, Gebretsadik Endeshaw Molla, Yishak Kebede, Dejen Tegegne, Solomon Gedlu Nigatu, Araya Mesfin Nigatu

“…This study aims to assess the spatial variation and predictors of anemia among women of reproductive age in Mozambique.MethodsIndividual record and spatial coordinates data from the Mozambique Demographic and Health Survey (DHS 2022/23) were used. …”
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Case Report: Compound heterozygous variants in BHLHA9 cause complex syndactyly with oligodactyly, renal artery variation, and facial scar by Weidong Wei, Weidong Wei, Xiaosha Wang, Xiaosha Wang, Tao Zhang, Tao Zhang, Yongxing Zhong, Yongxing Zhong, Jintang Zhang, Jintang Zhang, Hua Yuan, Hua Yuan, Xiaoliang Shi, Xiaoliang Shi, Yao He, Yao He, Haitao Pan, Haitao Pan, Zhen Yang, Yuejuan Wang

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Wind speed prediction for trains on bridges using enhanced variational mode decomposition assisted feature extraction and physical auxiliary mechanism by Zhilan Zhu, Yuan Jiang, Haicui Wang, Shuoyu Liu

“…To this end, this paper presents a novel forecasting approach using the hybrid of enhanced variational mode decomposition (EVMD), auto-regressive integrated moving average (ARIMA), fully convolutional neural network (FCN), and physical auxiliary mechanism (PAM). …”
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