Characterization and Specific Detection of <i>Lactobacillus paracasei</i>-Derived Extracellular Vesicles Using Anti-p40-Modified Au Thin Film by Kyeongmin Lee, Eun-Gyung Cho, Youngbo Choi, Yunsik Kim, Jin Hee Lee, Surin Hong

“…<b>Conclusions</b>: This study presents a sensitive and selective SPR-based platform for detecting Lp-EVs and demonstrates their potential for targeted epidermal delivery. …”
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Reporting antimicrobial susceptibility and detection of carbapenemase production in single and double carbapenemase-producing Gram-negative clinical isolates: a nationwide proficie... by Felipe Fernández-Cuenca, Felipe Fernández-Cuenca, Felipe Fernández-Cuenca, Mercedes Delgado-Valverde, Mercedes Delgado-Valverde, Mercedes Delgado-Valverde, Mercedes Delgado-Valverde, Pablo Guridi-Fernández, Concepción Gimeno-Cardona, Carmen Hidalgo-Díaz, Carmen Hidalgo-Díaz, Álvaro Pascual, Álvaro Pascual, Álvaro Pascual, Álvaro Pascual

“…However, blaVIM-1 and blaIMP-8 were not detected in 77.5% and 42.2% of the determinations, respectively, for DCP isolates.ConclusionThe main differences between DCP versus SCP isolates were the lower reliability of gradient strips, higher overall sensitivity of phenotypic methods for DCP isolates, but lower sensitivity with disk diffusion inhibitors and hydrolysis-based assays. …”
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Label-Free Ratiometric Homogeneous Electrochemical Strategy Based on Exonuclease III-Aided Signal Amplification for Facile and Rapid Detection of miR-378 by Bingyuan Fan, Qian Wang, Shan Wang, Yahui Gao, Yan Liang, Jinru Pan, Xinrui Fu, Li Li, Wei Meng

“…When miR-378 was present, double-cycle signal amplification triggered by Exo III cleavage was initiated, ultimately disrupting the hairpin structures of HP1 and HP2 and releasing a large amount of DOX into the solution, yielding a stronger electrochemical signal, which was low to 50 pM. This detection possesses excellent selectivity, demonstrating high application potential in biological systems, and offers simple and low-cost electrochemical detection for miR-378.…”
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Hot-Carrier Effect and Nanometer Metal Enabling Si-Based Mid-Infrared Detection Beyond 5&#x03BC;m of Wavelength by Zih-Chun Su, Yao-Han Dong, Ching-Fuh Lin

“…Here, we reveal an approach that harnesses hot carriers through diffusion over a very thin metal to achieve silicon-based mid-infrared detection. …”
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Multiwavelength Observation of a Candidate Pulsar Halo LHAASO J0621+3755 and the First X-Ray Detection of PSR J0622+3749 by C. B. Adams, A. Archer, P. Bangale, J. T. Bartkoske, W. Benbow, J. H. Buckley, Y. Chen, J. L. Christiansen, A. J. Chromey, A. Duerr, M. Errando, M. Escobar Godoy, A. Falcone, S. Feldman, Q. Feng, L. Fortson, A. Furniss, W. Hanlon, O. Hervet, C. E. Hinrichs, J. Holder, T. B. Humensky, W. Jin, M. N. Johnson, P. Kaaret, M. Kertzman, M. Kherlakian, D. Kieda, T. K. Kleiner, N. Korzoun, F. Krennrich, S. Kumar, S. Kundu, M. J. Lang, M. Lundy, G. Maier, M. J. Millard, J. Millis, C. L. Mooney, P. Moriarty, R. Mukherjee, W. Ning, R. A. Ong, A. Pandey, M. Pohl, E. Pueschel, J. Quinn, P. L. Rabinowitz, K. Ragan, P. T. Reynolds, D. Ribeiro, L. Rizk, E. Roache, I. Sadeh, L. Saha, G. H. Sembroski, R. Shang, M. Splettstoesser, D. Tak, A. K. Talluri, J. V. Tucci, J. Valverde, D. A. Williams, S. L. Wong, J. Woo, (VERITAS collaboration), Jon Kwong, Kaya Mori, Charles J. Hailey, Samar Safi-Harb, Shuo Zhang, Naomi Tsuji, (XMM-Newton collaboration), Silvia Manconi, Fiorenza Donato, Mattia Di Mauro

“…We model the gamma-ray spectrum and LHAASO-KM2A surface brightness as inverse Compton emission and find suppressed diffusion around the pulsar, similar to Geminga. A smaller diffusion suppression zone and harder electron injection spectrum than Geminga are necessary to reproduce the spectral cutoff. …”
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Prospective evaluation of mpMRI-derived nomograms for detecting prostate cancer in PI-RADS v2.1 upgraded and non-upgraded lesions by Ying Yi, Hang Wang, Dongliang Cheng, Zhifeng Xu, Xianhai Zhang, Chun Luo, Hai Zhao

“…ROC analysis demonstrated high diagnostic accuracy for csPCa detection, with AUCs of 0.93 (TZ) and 0.96 (PZ).ConclusionPI-RADS v2.1 upgrading rules improve cancer detection in the TZ, but upgrading PI-RADS category 3 lesions in the PZ may lead to unnecessary biopsies. …”
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Isolation, characterization, and detection of antibacterial activity of a bioactive compound produced by marine Bacillus sp. MH20 from Suez Bay, Egypt by Ehab Aly Beltagy, Maha Abd El-Fattah Khali, Mohamed Ahmed El-Shenawy, Wagih Abd El-Fattah El-Shouny

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Molecular Detection of mecA Gene in Methicillin Resistant Staphylococcus aureus Isolated from Surfaces of some Public Hospitals in Katsina State, Nigeria by A A Sunusi, M A Dangari, M K Salihu, Aminu Ado

“…Antibiotic Susceptibility testing and phenotypic detection of MRSA were conducted using disc diffusion method.  …”
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Molecular characterization of carbapenemases production among environmental Gram-negative isolates at Addis Ababa, Ethiopia: first detection of NDM Producers in hospital environmen... by Shemse Sebre, Aminu Seman, Tewachew Awoke, Woldaregay Erku Abegaz, Wude Mihret, Adane Mihret, Tamrat Abebe, Zelalem Desalegn

“…Resistance genes (blaKPC, blaNDM, blaOXA-48) were detected via PCR in isolates with reduced meropenem susceptibility. …”
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XAI-Based Assessment of the AMURA Model for Detecting Amyloid-&#x03B2; and Tau Microstructural Signatures in Alzheimer&#x2019;s Disease by Lorenza Brusini, Federica Cruciani, Gabriele Dall'glio, Tommaso Zajac, Ilaria Boscolo Galazzo, Mauro Zucchelli, Gloria Menegaz

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Introducing µGUIDE for quantitative imaging via generalized uncertainty-driven inference using deep learning by Maëliss Jallais, Marco Palombo

“…This work proposes µGUIDE: a general Bayesian framework to estimate posterior distributions of tissue microstructure parameters from any given biophysical model or signal representation, with exemplar demonstration in diffusion-weighted magnetic resonance imaging. Harnessing a new deep learning architecture for automatic signal feature selection combined with simulation-based inference and efficient sampling of the posterior distributions, µGUIDE bypasses the high computational and time cost of conventional Bayesian approaches and does not rely on acquisition constraints to define model-specific summary statistics. …”
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Identity and Temporal Fragmentation in Borderline Personality Disorder: A Systematic Review by Ilaria Faggioli, Cecilia Maria Esposito, Giovanni Stanghellini

“…Functional and structural alterations were detected to explain narrative incoherence, as well as symptoms such as emotional dysregulation and cognitive biases. …”
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AI adoption in higher education: Advancing sustainable energy management in palestinian universities by Mohannad Moufeed Ayyash, Omar Hasan Salah

“…In this research, Theory of Reasoned Action (TRA), Technology Acceptance Model (TAM), Diffusion of Innovations (DoI), and Resource-Based View (RBV) have been adopted to investigate mediator role of AI adoption intention in AI use. …”
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Application of Chelex-100 and SPR-IDA Resin in Combination with the Optimized Beam Deflection Spectrometry for High-Sensitivity Determination of Iron Species in Sediment Porewater by Hanna Budasheva, Mohanachandran Nair Sindhu Swapna, Arne Bratkič, Dorota Korte

“…The limit of detection (LOD) is then reduced by a factor of 2 (to the value of 20 nM). …”
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Cerebral morphometric alterations predict the outcome of migraine diagnosis and subtyping: a radiomics analysis by Tong-Xing Wang, Xiao-Bin Huang, Tong Fu, Yu-Jia Gao, Di Zhang, Lin-Dong Liu, Ya-Mei Zhang, Hai Lin, Jian-Min Yuan, Cun-Nan Mao, Xin-Ying Wu

“…Features representing the gray matter morphometry and diffusion properties were extracted from participants via histogram analysis. …”
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An effective microscopic image augmentation approach by Wanying Li, Linhe Yang, Guobei Peng, Guangyao Pang, Zhenming Yu, Xiaoying Zhu

“…The approach consists of two aspects: first, we design the conditionally guided microscopic image generation model (CGMIGM), which combines the denoising diffusion probabilistic models (DDPM) based conditional guidance technique to efficiently generate rare features and thus alleviate the class imbalance problem. …”
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Thermal features prediction in asphalt pavements using ANFIS-based regression by Mohammad Ali Khasawneh, Hiren Mewada, Ahmad Ali Khasawneh, Ansam Adnan Sawalha

“…The model development process was structured in three phases: (1) feature reduction to detect multicollinearity, (2) outlier detection and removal, and (3) application of the ANFIS regression model. …”
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Sparse Deep Neural Network for Encoding and Decoding the Structural Connectome by Satya P. Singh, Sukrit Gupta, Jagath C. Rajapakse

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Exploring Text-Guided Single Image Editing for Remote Sensing Images by Fangzhou Han, Lingyu Si, Hongwei Dong, Zhizhuo Jiang, Lamei Zhang, Hao Chen, Yu Liu, Bo Du

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Validation of cross-sectional and longitudinal ComBat harmonization methods for magnetic resonance imaging data on a travelling subject cohort by Sophie Richter, Stefan Winzeck, Marta M. Correia, Evgenios N. Kornaropoulos, Anne Manktelow, Joanne Outtrim, Doris Chatfield, Jussi P. Posti, Olli Tenovuo, Guy B. Williams, David K. Menon, Virginia F.J. Newcombe

“…Indeed, attempting harmonization obscured the true biological effect for some regions of interest. Diffusion data contained marked scanner effects and was successfully harmonized by all methods, resulting in smaller scanner effects and better detection of true biological effects. …”
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