Genome-wide association study of blood vitamin D metabolites and bone remodelling markers in pigs by Dipanwita Paul, Michael Oster, Siriluck Ponsuksili, Klaus Wimmers, Henry Reyer

“…Hence, mineral utilization efficiency might be indirectly improved which remains to be empirically demonstrated through further research.…”
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Hierarchical GraphCut Phase Unwrapping Based on Invariance of Diffeomorphisms Framework by Xiang Gao, Xinmu Wang, Zhou Zhao, Junqi Huang, Xianfeng David Gu

“…The resulting label maps are fused via majority voting to efficiently and robustly estimate the unwrapped phase count <inline-formula><tex-math notation="LaTeX">$k$</tex-math></inline-formula> at each pixel, using an odd number of votes to break ties. …”
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AER-Net: Attention-Enhanced Residual Refinement Network for Nuclei Segmentation and Classification in Histology Images by Ruifen Cao, Qingbin Meng, Dayu Tan, Pijing Wei, Yun Ding, Chunhou Zheng

“…Moreover, the coarse predictions and refined predictions are combined by using a loss function that employs cross-entropy loss and generalized dice loss to efficiently tackle the challenge of class imbalance among nuclei in histology images. …”
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Drying kinetics and thermodynamic analysis; enhancing quinoa (Chenopodium quinoa Willd.) quality profile via pre-treatments assisted germination and processing by Jabir Khan, Palwasha Gul, Qingyun Li, Kunlun Liu

“…Principal Component Analysis revealed significant correlations between analyses, explaining 80.37 % variability. The intensity of functional groups decreased in the infrared spectra, although the transmission of signals was greater in pretreated samples than in control. …”
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Emerging Healthcare Technologies in Gastrointestinal Endoscopy: 75 Years of Evolution by Irina Florina CHERCIU HARBIYELI, Elena Daniela BURTEA, Vlad IOVANESCU, Dan Nicolae FLORESCU, Ion ROGOVEANU, Dan Ionut GHEONEA, Adrian SAFTOIU

“…Machine learning algorithms assist in real-time polyp detection, classification, and predictive analytics, enhancing diagnostic accuracy while reducing inter-observer variability and human error. Machine learning is advancing rapidly, but clinical implementation faces challenges, such as algorithm validation, interpretability, and regulatory concerns. …”
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Novel variant alters splicing of TGFB2 in family with features of Loeys-Dietz syndrome by Emily R. Gordon, Stephanie A. Felker, Stephanie A. Felker, Tanner F. Coleman, Tanner F. Coleman, Nadiya Sosonkina, Jada Pugh, Jada Pugh, Meagan E. Cochran, Meagan E. Cochran, Anna C. E. Hurst, Sara J. Cooper

“…Significant clinical variability has been noted for both related and unrelated individuals with the same pathogenic variant. …”
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Speciation and mobilization of ultra-trace Hg(II) in groundwater by Kunfu PI, Yanxin WANG, Juewen LIU, Ya’nan YANG, Van Cappellen PHILIPPE

“…Applying tests to hydrogeochemically diverse groundwaters from the Grand River Watershed, Canada, the results indicate that the DNA-functionalized hydrogel is able to quickly detect dissolved Hg(II) but inapplicable to low Hg(II) concentrations (<1.60 μg/L), whereas the DNA-DGT sensor can capture variably ultra-trace Hg(II) species depending on the deployment time. …”
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Light-activated decellularized extracellular matrix-based bioinks for enhanced mechanical integrity by Minji Kim, Dayoon Kang, Hohyeon Han, Jinah Jang

“…The advent of photocrosslinking technologies marks a paradigm shift, with light-activated functional groups such as methacrylates, thiol-enes, and phenols substantially improving the gelation efficiency, mechanical properties, and spatial fidelity of the printed constructs. …”
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High expression of SOX10 is correlated with poor prognosis and immune infiltrates in skin cutaneous melanoma by Xu Sun, Yi-ming Cheng, Meng-wei Sun, Xu-dong Zhang, Xiao-yu Yu, Hai-bo Wang, Yi-fei Wang, Ning Li

“…Screening was performed by LASSO coefficients to select non-zero variables that satisfied the coefficients of lambda, and 8 genes were screened out. …”
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Effects of bedroom environment on average heart rate during sleep in temperate regions: Winter conditions in healthy males in their twenties with average BMI by Noriaki Oota, Yasuki Yamauchi, Gota Iwase, Masaru Abuku, Yasuhiro Hiraguri

“…Additionally, it has been suggested that as the average heart rate decreases, SDNN increases, indicating favorable autonomic function. This study aimed to identify the environmental factors that most significantly affect the day-to-day variability of average heart rate during sleep (SHR) in winter. …”
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Utilization of Ultrasonic-Assisted Extraction for Bioactive Compounds from Floral Sources by Sepidar Seyyedi-Mansour, Pauline Donn, Maria Carpena, Franklin Chamorro, Paula Barciela, Ana Perez-Vazquez, Ana Olivia S. Jorge, Miguel A. Prieto

“…Results indicate that UAE significantly enhances the yield of bioactive compounds, such as polyphenols, with extraction efficiencies reaching up to 95% under optimal conditions. …”
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Development of smart samplers and their comparison to dried serum spots for the analysis of growth hormone releasing hormone analogs using LCHRMS/MS by Christina Johannsen, Anna Kha Tu Nguyen, Sasha Shabani, Inger Oulie, Siri Dørum, Yvette Dehnes, Leon Reubsaet, Trine Grønhaug Halvorsen

“…Results showed that DSS yielded higher overall signal intensities but exhibited greater variability. In contrast, smart samplers demonstrated improved reproducibility and sensitivity at lower concentrations. …”
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Optimized Dual-Battery System with Intelligent Auto-Switching for Reliable Soil Nutrient Monitoring in Remote IoT Applications by Doan Perdana, Pascal Lorenz, Bagus Aditya

“…Implementing the DLB–PAO algorithm elevates the average reliability to 91.7% over 120 h, whereas the DLB–GA algorithm achieves near-perfect reliability (99.9%) for over 170 h, exhibiting minimal variability (standard deviation: 0.9%). The integration of intelligent auto-switching mechanisms and metaheuristic optimisation algorithms demonstrates a marked enhancement in both reliability and energy efficiency for soil nutrient monitoring systems. …”
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FMRI insights into the neural alterations and clinical correlates in multiple sclerosis: A comprehensive overview of systematic reviews and meta-analyses by Sama Rahnemayan, Arezoo Fathalizadeh, Mehdi Behroozi, Mahnaz Talebi, Amirreza Naseri, Elham Mehdizadehfar

“…Graph theory metrics identified disrupted global efficiency and clustering in functional networks, linked to gray matter atrophy. …”
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Analysis of Factors Influencing the Development of Community-Based Tourism in Rural Areas, Case Study: Villages Targeted by Tourism in the Markazi Province by Hamid Afshari, Behrouz Mohammadi Yeganeh, Hossein Farahani, Mehdi Cheraghi

“…Thus, the aim of the present research is to find the variables affecting community-based tourism in the target villages of Markazi Province. …”
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Multidimensional analysis of sedentary behaviour and participation in Spanish stroke survivors (Part&Sed-Stroke): a protocol for a longitudinal multicentre study by Pablo Bellosta-Lopez, Victor Domenech-Garcia, Maria Pilar López-Royo, Javier Gueita-Rodriguez, Jorge Alegre-Ayala, Julia Blasco-Abadía, Cristina de Diego-Alonso, Almudena Buesa, Patricia Roldán-Pérez, Rafael Giner-Nicolás, Natalie Ann Fini, Alicia Tornero Navarro, Ana Conte Lamenca, Andrea Yerro Astrain, Beatriz Martín Lamata, Carina Salgueiro, Claudia Marín Marín, Diana Ruiz Ramos, Elena Sanz Sanza, Enrique Villa Berges, Fernando Cuesta Ruiz, Inés Cortés Cabeza, Javier Harguindey, Juan Luis Abeledo Alcón, Laura Ares Barge, Leyre Leceaga Gaztambide, Lilian Le Roux, Lourdes Martín Gros, Lucía Díez Fuentes, María Carmen Grácia Sen, María Pilar Pardo Sanz, Paloma Rodríguez Escudero, Paz Cristina Sánchez Lecina, Rebeca Yebra Vilarchao, Sara Beltrán Roche, Verónica Montoya Murillo

“…Introduction Stroke survivors usually experience long-lasting functional, emotional and social consequences that might contribute to sedentary behaviour and participation restrictions, which are important targets to address during rehabilitation. …”
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Systematic Evaluation of Isolation Techniques and Freeze‐Thaw Effects on Plasma Extracellular Vesicle Heterogeneity and Subpopulation Profiling by Xueqi Li, Xiangyu Li, Lingjun Tong, Liqiao Hu, Yanfen Hong, Ruoyu Zhou, Zonghong Li, Ming Dong, Junjie Hou, Tao Xu, Wen Zhong

“…However, standardizing blood‐derived EV isolation remains challenging due to the heterogeneity of EV populations and variability among isolation techniques. In this study, we systematically evaluated three distinct EV isolation methods, including asymmetrical flow field‐flow fractionation (AF4), size‐exclusion chromatography (SEC) and automated centrifugal microfluidic disc system combined with functionalized membranes (Exo‐CMDS), to compare their efficiency in isolating EVs from both freshly frozen and freeze‐thawed plasma samples. …”
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Impact of short-term aircraft noise on cardiovascular disease risk in the area surrounding London Heathrow airport: the RISTANCO epidemiological study by Xiangpu Gong, Nicole Itzkowitz, Calvin Jephcote, Kathryn Adams, Glory O Atilola, John Gulliver, Marta Blangiardo, Anna Hansell

“…To identify areas with high variability in aircraft noise exposure (due to changes in flight paths because of wind direction and airport operations), we used coefficients of variation (CoV). …”
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Investigating the influence of soil organic carbon on pore structure within aggregates by Jingjing Liu, Yu Tian, Chiara Pasut, Mark Farrell, Shenggao Lu

“…The results revealed that the hydrogen peroxide treatment variably reduced organic carbon in soil aggregates, with Cambisol samples showing a higher removal efficiency (38.58–63.31%) compared to Ultisol samples (27.33–45.74%). …”
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FVPNet: A Fuzzy Visual Positioning Perception Network for Small Object Segmentation in Remote Sensing Images by Yu Yan, Jindong Xu, Qianpeng Chong, Guangyi Wei, Zhixiang Wang

“…Furthermore, grayscale variability intensifies boundary uncertainty, complicating accurate segmentation. …”
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