EFFICIENT BIOMASS CONVERSION PROCESS TO SUSTAINABLE ENERGY by Samuel Oludayo ALAMU, Marc J Louise CABALLES, Xuejun QIAN, Seong LEE, James G. HUNTER Jr.

“…On the other hand, burning of biomass waste has been largely considered as a better approach due to the fact that the CO2 generated during the process is being balanced by an equivalent amount that plants capture through photosynthesis while they are growing, thus making biomass a carbon-neutral energy source.  …”
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“Common sense is hard work” but benefits from persistent collaboration: Lessons learnt from the development of The Collaborative Network for European Clinical Trials for Children (... by Sabah Attar, Carla Peacock, Mandy Wan, Erin Halil, Chloe Bickerstaff, Lionel Tan, Hafsah Bhatti, Ricardo M. Fernandes, Regis Hankard, Mark A. Turner

“…Learning points were captured during network development, categorized and included in a thematic analysis from which lessons learnt were identified. …”
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TraxVBF: A hybrid transformer-xLSTM framework for EMG signal processing and assistive technology development in rehabilitation by Seyyed Ali Zendehbad, Athena Sharifi Razavi, Marzieh Allami Sanjani, Zahra Sedaghat, Saleh Lashkari

“…Pre-processing and extracting muscle synergy patterns is performed by the Hierarchical Fast Alternating Least Squares (Fast-HALS) algorithm, and key movement points are identified with the Modified MediaPipe algorithm to capture temporal and spatial dynamics with precision using TraxVBF, which is driven by Extended Long Short-Term Memory (xLSTM) and Transformer architectures. …”
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Combining interictal intracranial EEG and fMRI to compute a dynamic resting-state index for surgical outcome validation by Varina L. Boerwinkle, Kristin M. Gunnarsdottir, Bethany L. Sussman, Sarah N. Wyckoff, Emilio G. Cediel, Belfin Robinson, William R. Reuther, Aryan Kodali, Sridevi V. Sarma

“…This approach aims to reduce reliance on capturing seizures during invasive monitoring to pinpoint the SOZ.MethodsWe computed the source-sink index (SSI) from rs-iEEG for all implanted regions and from rs-fMRI for regions identified as potential SOZs by noninvasive modalities. …”
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Thermal deformation compensation scheme to the sub-nanometre level of a piezoelectric offset mirror for MHz repetition rate free-electron laser by Baoning Sun, Qinming Li, Chuan Yang, Kai Hu, Zhongmin Xu, Xiaohao Dong, Weiqing Zhang, Xueming Yang

“…Eighteen groups of piezo actuators are symmetrically attached to the top and bottom surfaces. …”
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Patient perspectives on acromegaly disease burden: insights from a community meeting by Shruti N. Shah, Kevin C. J. Yuen, Vivien Bonert, Wenyu Huang, Jill Sisco, Chrystal Palaty, Kristen Dancel-Manning, Nidhi Agrawal

“…There is a great need to learn more about the perspectives of patients living with acromegaly.MethodsAcromegaly Community hosted a virtual meeting in January 2021 and prepared a detailed report capturing participants’ input on acromegaly symptoms and current and future treatment approaches. …”
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Making stereopsis related to the ability of ocular deviation: a new paradigm for assessment of intermittent exotropia by Jian-Bing Li, Wan-Ting Kong, Tao Shen, Yong-Guang Yuan, Chong-Lin Chen, Dan-Min Peng, Min-Tong Liang, Xuan He, Dan Luo, Jia-Yi Su, Wei Wang, Rui-Xin Wang, Xin-Ping Yu

“…Recording with a smartphone, we captured videos to analyze the accurate time of spontaneous exodeviation and subsequent realignment before and after breaking fusion. …”
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GastroFuse-Net: an ensemble deep learning framework designed for gastrointestinal abnormality detection in endoscopic images by Sonam Aggarwal, Isha Gupta, Ashok Kumar, Sandeep Kautish, Abdulaziz S. Almazyad, Ali Wagdy Mohamed, Frank Werner, Mohammad Shokouhifar

“…GastroFuse-Net was developed by combining features extracted from two different CNN models with different numbers of layers, integrating shallow and deep representations to capture diverse aspects of the abnormalities. The Kvasir dataset was used to thoroughly test the proposed deep learning model. …”
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A Reliable Generative Adversarial Network Approach for Climate Downscaling and Weather Generation by Neelesh Rampal, Peter B. Gibson, Steven Sherwood, Gab Abramowitz, Sanaa Hobeichi

“…CGANs are considerably more skillful in capturing climatological statistics, including the distribution and spatial characteristics of extreme events. …”
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RAPID: real-time automated plankton identification dashboard using Edge AI at sea by Sophie G. Pitois, Robert E. Blackwell, Hayden Close, Noushin Eftekhari, Sarah L. C. Giering, Mojtaba Masoudi, Eric Payne, Joseph Ribeiro, James Scott

“…We describe RAPID: a Real-time Automated Plankton Identification Dashboard, deployed on the Plankton Imager, a high-speed line-scan camera that is connected to a ship water supply and captures images of particles in a flow-through system. …”
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Rapid and Specific Detection of Escherichia coli O157:H7 in Ground Beef Using Immunomagnetic Separation Combined with Loop-Mediated Isothermal Amplification by Qin Yu, Puthiyakunnon Santhosh, Zhang Yiduo, Wu Xianbo, Boddu Swapna, Luo Binde, Fan Hongying

“…The IMS followed with LAMP could capture and detect a bacterial concentration as low as 3×101 CFU/mL from the meat samples, which was close to the sensitivity of LAMP assay with pure culture. …”
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Global Observations of Geomagnetically Induced Currents Caused by an Extremely Intense Density Pulse During a Coronal Mass Ejection by Terry Z. Liu, Xueling Shi, Michael D. Hartinger, Vassilis Angelopoulos, Craig J. Rodger, Ari Viljanen, Yi Qi, Chen Shi, Hannah Parry, Ian Mann, Darcy Cordell, Hadi Madanian, Daniel H. Mac Manus, Michael Dalzell, Ryan Cui, Ryan MacMullin, Greg Young‐Morris, Christian Noel, Jeffrey Streifling

“…This work suggests that large density pulses in CME should be considered an important driver of large amplitude, global GMD and among the largest GIC at mid‐latitude locations, and that sampling intervals ≤10s are required to capture these GMD/GIC.…”
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The Application of Fast Fourier Transform Filtering to High Spatial Resolution Digital Terrain Models Derived from LiDAR Sensors for the Objective Mapping of Surface Features and D... by Alberto González-Díez, Ignacio Díaz-Martínez, Pablo Cruz-Hernández, Antonio Barreda-Argüeso, Matthew Doughty

“…Large units are better captured with low filters, whilst high filters effectively detect anthropogenic elements and more detailed units. …”
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Discrete Fractional-Order Modeling of Recurrent Childhood Diseases Using the Caputo Difference Operator by Yasir A. Madani, Zeeshan Ali, Mohammed Rabih, Amer Alsulami, Nidal H. E. Eljaneid, Khaled Aldwoah, Blgys Muflh

“…Numerical simulations demonstrate the model’s effectiveness in capturing realistic scenarios, particularly the recurrent patterns observed in some childhood diseases.…”
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AxiWorm: a new tool using YOLOv5 to test antiparasitic drugs against Trichinella spiralis by Javier Sánchez-Montejo, Miguel Marín, María Alejandra Villamizar-Monsalve, María del Carmen Vieira, Belén Vicente, Rafael Peláez, Julio López-Abán, Antonio Muro

“…Here we developed a semi-automated system based on YOLOv5 to capture photographs of 96 well microplates and use them for L1 count and morphological damage evaluation after experimental drug treatments. …”
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A Hierarchical Graph-Enhanced Transformer Network for Remote Sensing Scene Classification by Ziwei Li, Weiming Xu, Shiyu Yang, Juan Wang, Hua Su, Zhanchao Huang, Sheng Wu

“…Subsequently, we meticulously design a three-stage hierarchical transformer extractor, incorporating a DA module at the bottleneck of each stage to facilitate information exchange between different stages, in conjunction with the Swin transformer block to capture multiscale global visual information. Moreover, we develop a fine-grained graph neural network extractor that constructs the spatial topological relationships of pixel-level scene images, thereby aiding in the discrimination of similar complex scene categories. …”
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RMHA-Net: Robust Optic Disc and Optic Cup Segmentation Based on Residual Multiscale Feature Extraction With Hybrid Attention Networks by Mohammad J. M. Zedan, Siti Raihanah Abdani, Jaesung Lee, Mohd Asyraf Zulkifley

“…This network’s encoder is designed based on advanced convolutional neural network (CNN) blocks that combine dilated convolution, which allows field-of-view expansion by capturing larger-scale features. In addition, the encoder also embeds residual connections to improve the model capacity in extracting low-level features. …”
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Improving efficiency and product quality by optimizing methanol purification in biodiesel plant: Addressing abnormalities in distillation column performance by Anggara Dwita Burmana, Yacine Benguerba, Filicia Wicaksana, Vikram Alexander, Silvia Nova, Taslim Taslim, Iriany Iriany

“…Data were collected via the distributed control system, capturing flowrate, temperature, pressure, and composition under both normal and abnormal conditions, with an emphasis on the effects of corrosion and column performance. …”
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The Application of Integrated Assisted History Matching and Embedded Discrete Fracture Model Workflow for Well Spacing Optimization in Shale Gas Reservoirs with Complex Natural Fra... by Qiwei Li, Jianfa Wu, Cheng Chang, Hongzhi Yang, Chuxi Liu, Wei Yu, Kamy Sepehrnoori, Jijun Miao

“…Firstly, the multiple realizations of thirteen uncertain parameters of matrix and fractures, including matrix permeability and porosity, three relative permeability parameters, hydraulic fracture height, half-length, width, conductivity, water saturation, and natural fracture number, length, and conductivity, were captured by the assisted history matching (AHM). The fractures were modeled by the embedded discrete fracture model (EDFM) accurately and efficiently. …”
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Infrared Image Enhancement: A Review by Qingwang Wang, Pengcheng Jin, Yuhang Wu, Liyao Zhou, Tao Shen

“…However, due to the limitations of infrared wavelengths and imaging technology, traditional infrared imaging devices struggle to capture rich texture information, leading to infrared images that lack texture details and have low resolution, which significantly restricts the further research and application of infrared imaging technology in various fields. …”
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