Association of Trace Elements with Polycystic Ovary Syndrome in Women—A Case-Control Study by Tinkara Srnovršnik, Bojana Pinter, Milena Horvat, Janja Snoj Tratnik, Ingrid Falnoga, Darja Mazej, Ivan Verdenik, Irma Virant-Klun

“…<b>Results:</b> In women with PCOS, lower Mo levels in whole blood (<i>p</i> = 0.024) and serum (<i>p</i> = 0.011) and higher serum Cu levels (<i>p</i> = 0.026) were detected when compared to healthy controls. Results of this study show that amendments in Cu and Mo levels might be related to altered kidney and liver function and disrupted hormonal balance in PCOS women. …”
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Bearing Small Sample Fault Diagnosis based on Data Generation and Transfer Learning by Dinghui Wu, Qin Fang, Chuyi Wu

“…First， the source dataset is trained on the training network to obtain the source model， and then a small amount of drive-end data is used as the target dataset to fine-tuning to obtain the target model. …”
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Research on lightweight weed recognition algorithm based on improved YOLOv8 by Zhang Chao, Liu Bin, Li Kun

“…Different scale features are used to improve the performance of target detection. Finally, the MPDIoU loss function is replaced to enhance the convergence and stability of the model. …”
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Internal Control Systems and Performance of Microfinance Institutions in Uganda: A Case Study of Kabale Municipality by Nandaula, Mwebe Lilian

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CMOS-integrated organic neuromorphic imagers for high-resolution dual-modal imaging by Salihuojia Talanti, Kerui Fu, Xiaolong Zheng, Youzhi Shi, Yimei Tan, Chenxi Liu, Yanfei Liu, Ge Mu, Qun Hao, Kangkang Weng, Xin Tang

“…The fabricated imager allows in-sensor memorization (>18 min) and real-world spatiotemporal imaging with reduced computation resource, demonstrating its potential for industrial monitoring and motion detection.…”
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Three-Dimensional Zeolitic Imidazolate Framework-8 as Sorbent Integrated with Active Capillary Plasma Mass Spectrometry for Rapid Assessment of Low-Level Wine and Grape Quality-Rel... by Morphy C. Dumlao, Liang Jiang, Saroj Kumar Bhattacharyya, William A. Donald, Christopher C. Steel, Leigh M. Schmidtke

“…The most commonly used methods to chemically assess grape and wine quality with high sensitivity and selectivity require lengthy analysis time and can be resource intensive. Here, we developed a rapid and non-destructive method that would help in grading and decision support. …”
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Spectral domain optical coherence tomography: a better OCT imaging strategy by Zahid Yaqoob, Jigang Wu, Changhuei Yang

“…There are two approaches to SDOCT—one that uses a broadband source and a spectrometer to measure the interference pattern as a function of wavelength and the other that utilizes a narrowband tunable laser that is swept linearly in k ∼ 1/λ space during spectral fringe data acquisition. …”
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Optimizing maize germination forecasts with random forest and data fusion techniques by Lili Wu, Yuqing Xing, Kaiwen Yang, Wenqiang Li, Guangyue Ren, Debang Zhang, Huiping Fan

“…This study selected the Zheng Dan-958 maize variety to predict germination rates using multi-source information fusion and a random forest (RF) algorithm. …”
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The whole set of constitutive promoters recognized by RNA polymerase RpoD holoenzyme of Escherichia coli. by Tomohiro Shimada, Yukiko Yamazaki, Kan Tanaka, Akira Ishihama

“…Concomitant with the increase in detection of promoters functioning in vivo under various stressful conditions, the variation is expanding in the consensus sequence of RpoD promoters. …”
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Spatiotemporal understanding of behaviors of laying hens using wearable inertial sensors by Tsuyoshi Shimmura, Itsufumi Sato, Ryo Takuno, Kaori Fujinami

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Ensemble machine learning-based pre-trained annotation approach for scRNA-seq data using gradient boosting with genetic optimizer by Osama Elnahas, Waleed M. Ead, Yushan Qiu, Jian Lu

“…The problem of single-cell RNA annotation involves assigning meaningful labels or annotations to each cell in the scRNA-seq dataset, indicating its corresponding cell type, state, or biological function. Current annotation methods are often challenged by limited source data quality, sensitivity to batch effects, and poor adaptability to uncharacterized cell types. …”
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Research on Virtual Color Restoration of Complex Building System Based on Discrete Wavelet Transform by Chunqiao Song, Xutong Wu

“…In response to these problems, this paper proposes automatic selection of sample color migration. Considering that the respective gray-scale histograms of the visual source image and the target image are approximately normal distributions, this paper takes the peak point as the mean value of the normal distribution to construct the objective function. …”
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Pediatric Adenotonsillectomy Trial for Snoring (PATS): protocol for a randomised controlled trial to evaluate the effect of adenotonsillectomy in treating mild obstructive sleep-di... by Rui Wang, Jessie P. Bakker, Ronald D. Chervin, Susan L. Garetz, Fauziya Hassan, Stacey L. Ishman, Ron B. Mitchell, Michael G. Morrical, Syed K. Naqvi, Jerilynn Radcliffe, Emily I. Riggan, Carol L. Rosen, Kristie Ross, Michael Rueschman, Ignacio E. Tapia, H. Gerry Taylor, David A. Zopf

“…The study’s coprimary endpoints are (1) change from baseline in executive behaviour relating to self-regulation and organisation skills as measured by the Behavioural Rating Inventory of Executive Function (BRIEF) Global Composite Score (GEC); and (2) change from baseline in vigilance as measured on the Go-No-Go (GNG) signal detection parameter (d-prime). …”
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The cardiac phospho-proteome during pressure overload in mice by Rhys Wardman, Steve Grein, Jennifer Schwartz, Frank Stein, Joerg Heineke

“…Our analysis highlights significant changes in hypertrophic signalling, metabolic remodelling, contractile function, and the stress response pathways. We present proteomic data from the main cardiac cell types (endothelial cells, fibroblasts and cardiomyocytes) to reveal the cellular localisation of the detected phospho-proteins, offering insights into temporal and site-specific phosphorylation events, facilitating the potential discovery of novel therapeutic targets and biomarkers. …”
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Ultra-high-energy γ-ray emission associated with the tail of a bow-shock pulsar wind nebula

“…The source energy spectrum extended up to 300 TeV, which was well fitted by a log-parabola function with N0 = (1.93 ± 0.23) × 10−16 TeV−1 cm−2 s−1, α = 2.14 ± 0.27, and β = 1.20 ± 0.41 at E0 = 30 TeV. …”
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Unified Weak Lensing Constraints on the Evolution of the Mass–X-Ray Luminosity Relation for Galaxy Clusters by I. Pederneiras, A. Finoguenov, E. Cypriano, J. Comparat, K. Kiiveri, L. van Waerbeke, R. Dupke

“…We also analyzed the impact of the selection function on calibration, finding that its full modeling is essential.…”
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Optimised Neural Network Model for Wind Turbine DFIG Converter Fault Diagnosis by Ramesh Kumar Behara, Akshay Kumar Saha

“…VMD’s robustness stems from its ability to decompose a signal into intrinsic mode functions (IMFs) with well-defined centre frequencies and bandwidths. …”
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From Lab to Life: Self‐Powered Sweat Sensors and Their Future in Personal Health Monitoring by Nan Gao, Guodong Xu, Gang Chang, Yuxiang Wu

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Preventive home visits for mortality, morbidity, and institutionalization in older adults: a systematic review and meta-analysis. by Evan Mayo-Wilson, Sean Grant, Jennifer Burton, Amanda Parsons, Kristen Underhill, Paul Montgomery

“…<h4>Background</h4>Home visits for older adults aim to prevent cognitive and functional impairment, thus reducing institutionalization and mortality. …”
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Optimal Dispatch of Power System with P2G-Wind-Thermal-Nuclear-Carbon Capture Units by Wenhao CHAO, Zhi YUAN, Ji LI

“…Finally, the minimization of system comprehensive operation costs is selected as the overall objective function. At the same time, the carbon trading mechanism is considered to build the simulation model on the Matlab platform to verify the effectiveness of the proposed model. …”
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