UK Biobank MRI data can power the development of generalizable brain clocks: A study of standard ML/DL methodologies and performance analysis on external databases by Marco Capó, Silvia Vitali, Georgios Athanasiou, Nicole Cusimano, Daniel García, Garth Cruickshank, Bipin Patel

“…For our analysis we used T1-weighted MRI scans and processed de novo all images via FastSurfer, transforming them into a conformed space for deep learning and extracting image-derived phenotypes for our machine learning approaches. …”
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Simultaneously Enhanced Permeability and Selectivity of Pebax-1074-Based Mixed-Matrix Membrane for CO₂ Separation by Rujing Hou, Junwei Xie, Yawei Gu, Lei Wang, Yichang Pan

“…Both the strengthened CO₂ solubility coefficients coming from the additional CO₂ adsorption sites of amino groups in BPEI and the reinforced CO₂ diffusivity coefficients originating from the fast transport channels created by KAUST-8 led to the promising CO₂ separation performance for KAUST-8@BPEI/Pebax-1074 MMM. …”
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Evaluation of a Commercial Multiplex Real-Time PCR with Melting Curve Analysis for the Detection of <i>Mycobacterium tuberculosis</i> Complex and Five Nontuberculous Mycobacterial... by Keun Ju Kim, Yunhee Chang, Seung Gyu Yun, Myung-Hyun Nam, Yunjung Cho

“…The NeoPlex assay could simultaneously detect and differentiate MTBC from five other NTM species: <i>Mycobacterium intracellulare</i>, <i>Mycobacterium avium</i>, <i>Mycobacterium kansasii</i>, <i>Mycobacterium abscessus</i>, and <i>Mycobacterium massiliense</i>. A total of 91 acid-fast bacillus culture-positive samples, comprising 36 MTBC and 55 NTM isolates, were collected from the Korea University Anam Hospital. …”
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Monitoring the Maize Canopy Chlorophyll Content Using Discrete Wavelet Transform Combined with RGB Feature Fusion by Wenfeng Li, Kun Pan, Yue Huang, Guodong Fu, Wenrong Liu, Jizhong He, Weihua Xiao, Yi Fu, Jin Guo

“…This study provides a fast and reliable method for monitoring maize growth in field conditions. …”
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Automatic Segmentation of Abdominal Aortic Aneurysm From Computed Tomography Angiography Using a Patch-Based Dilated UNet Model by Merjulah Roby, Juan C. Restrepo, Haehwan Park, Satish C. Muluk, Mark K. Eskandari, Seungik Baek, Ender A. Finol

“…Through the integration of advanced deep learning architectures and the precision of NURBS for segmentation refinement, coupled with the fast processing time and accurate segmentation, the the proposed model represents a promising clinical tool that can be used in the clinical management of AAAs.…”
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Comparison of three recent discrete stochastic inversion methods and influence of the prior choice by Juda, Przemysław, Straubhaar, Julien, Renard, Philippe

“…ESMDA showed initially a very fast convergence which reaches a plateau, contrary to the remaining methods. …”
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The Timing and Spectral Properties of the 2022 Outburst of SGR J1935+2154 Observed with NICER by Fu Yu-Cong, Lin Lin, Ge Ming-Yu, Enoto Teruaki, Hu Chin-Ping, Younes George, Göǧüş Ersin, Malacaria Christian

“…While a flare is evident on the light curve, a fast radio burst (FRB) was detected immediately following the peak of this flare. …”
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A multi-task model for failure identification and GPS assessment in metro trains by Pratik Vinayak Jadhav, Sairam V. A, Siddharth Sonkavade, Shivali Amit Wagle, Preksha Pareek, Ketan Kotecha, Tanupriya Choudhury

“…On the whole, the proposed framework can be effective for fast and accurate fault analysis in metro trains.…”
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An Enhanced Active Disturbance Rejection Control Scheme for DC Voltage Regulation in Photovoltaic Grid-Connected Four-Leg Inverter Using a Sliding Mode Observer by Chebabhi Ali, Defdaf Mabrouk, Syphax Ihammouchen, Nicu Bizon, Benbouhenni Habib, Kessal Abdelhalim, Rekioua Toufik, Benkhoris Mohamed Fouad

“…The STSMO is incorporated in the ADRC method for its fast uncertainties and external disturbances estimations, high resilience against uncertainties, and good immunity to measurement noise. …”
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Predicting the clinical subcutaneous absorption rate constant of monoclonal antibodies using only the primary sequence: a machine learning approach by Ronghua Bei, Justin Thomas, Shiven Kapur, Mahlet Woldeyes, Adam Rauk, Jason Robarge, Jiangyan Feng, Kaoutar Abbou Oucherif

“…In this study, we built a model to predict the absorption rate constant (ka), which denotes how fast a mAb is absorbed from the site of administration. …”
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Neurovascular bundle sparing in hypofractionated radiotherapy maintained with realistic treatment uncertainties by Roel C. Kwakernaak, Victor J. Brand, Jesús Rojo-Santiago, Femke E. Froklage, Mischa S. Hoogeman, Steven J.M. Habraken, Maaike T.W. Milder

“…Polynomial Chaos Expansion (PCE) was used to fast and accurately model the dose against treatment errors. …”
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Insulator–metal transition in VO2 film on sapphire studied by broadband dielectric spectroscopy by Arsenii A. Gavdush, Vladislav A. Zhelnov, Kirill B. Dolganov, Alexander A. Bogutskii, Sergey V. Garnov, Maria G. Burdanova, Dmitry S. Ponomarev, Qiwu Shi, Kirill I. Zaytsev, Gennadii A. Komandin

“…It makes possible applications of such a phase-change material in the ultra-fast optoelectronics and terahertz (THz) technology. …”
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Towards Reliable Participation in UAV-Enabled Federated Edge Learning on Non-IID Data by Youssra Cheriguene, Wael Jaafar, Halim Yanikomeroglu, Chaker Abdelaziz Kerrache

“…Hence, we propose in this article a novel client selection scheme that enhances convergence by prioritizing fast UAVs with high-reliability scores, while eliminating malicious UAVs from training. …”
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Performance analysis of PCM-based lithium-ion battery module thermal management system under mechanical vibration by Jiebo Yang, Qinghua Yu, Wenjie Ye, Yang Yu, Sheng Chen

“…The findings indicate that, under mechanical vibration condition, mechanical vibration's influence on the performance of the BTMS is negligible at lower discharge rates, but becomes significant when the discharge rate surpasses a certain threshold, particularly at extremely fast discharge level, resulting in a decrease of 2.28 K in the LIB module’s maximum temperature and a more uniform temperature distribution upon completion of an 8 C discharge in contrast to its stationary equivalent. …”
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LC-MS-Based Global Metabolic Profiles of Alternative Blood Specimens Collected by Microsampling by Marlene N. Thaitumu, Daniel Marques De Sá e Silva, Philippine Louail, Johannes Rainer, Glykeria Avgerinou, Anatoli Petridou, Vassilis Mougios, Georgios Theodoridis, Helen Gika

“…Venous blood was collected from 10 healthy, overnight-fasted individuals and loaded on the devices; plasma was also collected from the same venous blood. …”
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Autoencoder Reconstruction of Cosmological Microlensing Magnification Maps by Somayeh Khakpash, Federica B. Bianco, Georgios Vernardos, Gregory Dobler, Charles Keeton

“…Used to generate large samples of on-demand magnification maps, our model can enable fast modeling of microlensing variability in lensed quasars and supernovae.…”
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Enhanced humidity-sensing performance of (Zr4+/Sb5+)-codoped TiO2 ceramics with giant dielectric properties by Noppakorn Thanamoon, Nateeporn Thongyong, Kaniknun Sreejivungsa, Narong Chanlek, Prasit Thongbai

“…For the humidity sensing properties, the best humidity sensing properties were observed in the ceramics with x = 0.05, with a sensitivity of ~237%pF/%RH, a low hysteresis error (~1.6%), and fast response/recovery time of ~12 s/16 s at 1 kHz. …”
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Efficient continuous SF6/N2 separation using low-cost and robust metal-organic frameworks composites by Jinjian Li, Yuting Chen, Tian Ke, Yuanyuan Jin, Rongrong Fan, Guihong Xu, Liu Yang, Zhiguo Zhang, Zongbi Bao, Qilong Ren, Qiwei Yang

“…Record-high selectivities (> 2×104) and SF6 dynamic capacities (~ 2.7 mmol/g) were achieved, while exceptional SF6 productivities (~ 58.7 L/kg), yields (~ 96.8%), and recyclability (~ 1000 cycles) were demonstrated in fixed-bed adsorption-desorption experiments under mild regeneration conditions. 2D solid-state NMR/in-situ FTIR, DFT-D binding/diffusion simulation analyses revealed the multi-site binding mode and the ultra-fast diffusion of SF6 within the channels. The proposed VTSA processes successfully met the dual stringent requirements of both environmental protection and electricity equipment operation: the SF6 recovery of 99.91% accompanied with a SF6 purity/working capacity of 99.91%/2.1 mmol/g, which significantly outperformed the industrial employed adsorbent zeolite 13X and showed only 18.7% the energy consumption of the cryogenic distillation.…”
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Topology Optimization of the Network with Renewable Energy Sources Generation Based on a Modified Adapted Genetic Algorithm by A. M. Bramm, A. I. Khalyasmaa, S. A. Eroshenko, P. V. Matrenin, N. A. Papkova, D. A. Sekatski

“…The verification was carried out in comparison with the results obtained by a complete search of possible radial configurations of the system, and it showed that the developed genetic algorithm had fast convergence, high accuracy and was able to work correctly with different configurations of electrical circuits, generation and load structures. …”
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X-Ray/Radio Quasiperiodic Pulsations Associated with Plasmoids in Solar Flare Current Sheets by Pankaj Kumar, Judith T. Karpen, Joel T. Dahlin

“…Plasmoids (or magnetic islands) are believed to play an important role in the onset of fast magnetic reconnection and particle acceleration during solar flares and eruptions. …”
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