Mt or not Mt: Temporal variation in detection probability in spatial capture-recapture and occupancy models by Sollmann, Rahel

“…SCR model estimates of abundance, the density-covariate coefficient β and the movement-related scale parameter of the detection function σ were robust to ignoring temporal variation in detection, with relative bias, CV and RMSE of the two models generally being within 4% of each other. …”
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Machine learning models for reinjury risk prediction using cardiopulmonary exercise testing (CPET) data: optimizing athlete recovery by Arezoo Abasi, Ahmad Nazari, Azar Moezy, Seyed Ali Fatemi Aghda

“…Abstract Background Cardiopulmonary Exercise Testing (CPET) provides detailed insights into athletes’ cardiovascular and pulmonary function, making it a valuable tool in assessing recovery and injury risks. …”
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Mixed pastures and biological efficiency in buffalo production systems: determinants for a sustainable livestock by Juan Pablo Uzcátegui-Varela, Martha Gloribet Ceballos Ramírez

“…The analysis of biological systems is characterized by the use of basic calculations during the production process that define the complex dynamics of natural capital, which is directly managed by human activities with a simplification and selection of biodiversity to support ecosystem function while generating products of agri-food interest. …”
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Gut Akkermansia enhances liver protection and facilitates copper removal during D-penicillamine treatment in a Wilson’s disease model by Xi Huang, Yanqi Jin, Tianyuan Wang, Danting Fu, Jindi Ma, Xiaopeng Yu, Yingfeng Lu, Jingyuan Song, Yu Chen, Ren Yan, Yimin Zhang

“…The results of gene function prediction analysis indicated that the altered gut microbial function by DPA and Akk is primarily linked to energy generation/utilization, amino acid, fatty acid, lipid, and nucleic acid metabolisms. …”
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Design of the optimal groundwater quality monitoring network using a genetic algorithm based optimization approach by Somaye Janatrostami, Ali Salahi

“…In this paper, two conflicting objective functions are simultaneously solved. The first objective function is the maximization of the match between the interpolated EC distributions obtained from data of the all available monitoring wells and the wells from the newly generated network. …”
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A High-Throughput, Three-Dimensional Multiple Myeloma Model Recapitulating Tumor-Stroma Interactions for CAR-Immune Cell-Mediated Cytotoxicity Assay by Luanpitpong S, Janan M, Poohadsuan J, Rodboon N, Samart P, Rungarunlert S, Issaragrisil S

“…Through this assay, we demonstrated that CAF-like stromal cells impaired NK cell effector function in 2D culture and 3D spheroids, likely via paracrine signaling and physical barrier function. …”
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The Impact of Overexpression of the Mouse Ortholog of CACNA1C on Behavior and Cortical Dynamics by Rachel Parent, Ruei-Lung Lin, Lara Ouillette, Emily Glass, Hannah Burns, Michael D. Uhler, Sami L. Case, Olivier Thibault, Geoffrey G. Murphy

“…The CaV1.2Tg+ mice also appeared to have altered cortical dynamics in which the network was more dense but less synchronized. Conclusions: We have successfully generated mice that overexpress the mouse ortholog of a gene that has been implicated in several psychiatric diseases. …”
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Reconstruction of U.S. Regional-Scale Soybean SIF Based on MODIS Data and BP Neural Network by YAO Jianen, LIU Haiqiu, YANG Man, FENG Jinying, CHEN Xiu, ZHANG Peipei

“…The increased correlation suggests that BPSIF could more accurately reflect the dynamic changes in GPP during the soybean growing season, making it more reliable compared to the original SIF data. …”
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A New PWM Technique With Single Phase Switched-Capacitor High-Gain Multilevel Inverter for Photovoltaic Applications by Oorappan G. Murugan, Sivaraman Pandarinathan, S. A. Lakshmanan, C. Dhanamjayulu, S. M. Muyeen

“…Offering an appealing substitute, Flat Pulse Width Modulation (FPWM) technique provide reduced device switching frequencies compared to traditional continuous PWM approaches. This feature generates more voltage and helps to reduce the switching losses in the converter. …”
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Detour-Straddle 3D-like path planning of unmanned mining truck in open pit mines based on optimized ant colony algorithm by Mingyu GAO, Jiusheng BAO, Yan YIN, Deping HU, Kekun ZHANG, Chenzhong ZHU, Maosen WANG, Kai WANG

“…The simulation results show that: After optimization, the path length of the ant colony algorithm is shortened by 16.53% and 16.79% respectively in the scenario with fewer and more obstacles. Moreover, the path quality is effectively improved by reducing the path inflection point, making the path generated by the algorithm more in line with the actual demand. …”
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Evaluation of MODIS and VIIRS BRDF Parameter Differences and Their Impacts on the Derived Indices by Chenxia Wang, Ziti Jiao, Yaowei Feng, Jing Guo, Zhilong Li, Ge Gao, Zheyou Tan, Fangwen Yang, Sizhe Chen, Xin Dong

“…The results confirm that among the three BRDF parameters, the isotropic scattering parameters of MODIS and VIIRS are more consistent, whereas the volumetric and geometric-optical scattering parameters are more sensitive and variable; this performance is more pronounced in the red band. …”
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Effect of Indenter Angle on Bearing Performance of Coal and Accompanying Rocks Under Point Load and Characterization of Mechanical Parameters by Qian Wang, Yujiang Zhang, Delong Cui, Guorui Feng, Yunlou Du, Shuai Zhang, Haojie Cheng, Zhengjun Zhang

“…The angle of the indenter had a greater influence on the indentation diameter of low‐strength rocks, and the failure of coal and accompanying rocks was more stable under the action of large‐angle indenters. …”
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A novel ubiquitin-related genes-based signature demonstrated values in prognostic prediction, immune landscape sculpture and therapeutic options in laryngeal cancer by Lu Liu, Lu Liu, Lu Liu, Lu Liu, Bing Wang, Xiaoya Ma, Xiaoya Ma, Lei Tan, Lei Tan, Lei Tan, Xudong Wei, Xudong Wei

“…As evaluated, the low-risk group had a more activated immune function, higher infiltration of anti-cancer immune cells and stronger expression of immune-promoting cytokines than the high-risk group. …”
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Autophagic flux-lipid droplet biogenesis cascade sustains mitochondrial fitness in colorectal cancer cells adapted to acidosis by Xiaojie Liu, Xue Sun, Wenqing Mu, Yanan Li, Wenqing Bu, Tingting Yang, Jia Zhang, Rui Liu, Jiayu Ren, Jin Zhou, Peishan Li, Yufang Shi, Changshun Shao

“…Here, we show that colorectal cancer cells adapted to acidic microenvironment (CRC-AA) are more reliant on oxidative phosphorylation than their parental cells, and the acetyl-CoA in CRC-AA cells are generated from fatty acids and glutamine, but not from glucose. …”
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Liver organoids: Current advances and future applications for hepatology by Yohan Kim, Minseok Kang, Michael Girma Mamo, Michael Adisasmita, Meritxell Huch, Dongho Choi

“…However, researchers have recognized that achieving a fully functional whole liver remains a distant goal, and the original ambition of organoid-based liver generation has been temporarily put on hold. …”
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Optimization Methodology for Meningioma and Acoustic Neuroma Detection Model Based on DCGAN by CHEN Jingcong, RAN Fengwei, ZHANG Haowei, LIU Ying

“…This paper proposes a DCGAN (deep convolutional generative adversarial networks) with improved loss function for data augmentation of meningioma and acoustic neuroma detection models to address the issues of scarce medical image datasets, imbalanced number of categories, and poor imaging quality. …”
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Extracellular vesicle-mediated bidirectional communication between the liver and other organs: mechanistic exploration and prospects for clinical applications by Wenhui Mo, Yunke Peng, Yanyi Zheng, Shenglan Zhao, Liling Deng, Xiaoli Fan

“…Conversely, molecules generated by organs such as bone, the gut, and adipose tissue can also impact liver function. …”
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Design of Smart Plant Electrical Signal Monitoring System for Indoor Farming by Afif Saifuddin, Wiratmoko Ardan, Nugroho Andri Prima, Okayasu Takashi, Sutiarso Lilik

“…Calibration for this system needs a function generator. The calibration result is analyzed using statistical methods such as MAPE. …”
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A Skillful Prediction of Monsoon Intraseasonal Oscillation Using Deep Learning by K. M. Anirudh, Prasang Raj, S. Sandeep, Hariprasad Kodamana, C. T. Sabeerali

“…These results indicate the potential for more reliable sub‐seasonal to seasonal (S2S) predictions of the Indian monsoon. …”
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Development and analysis of scaffold-free adipose spheroids by Jesse Liszewski, Aloysious Klingelhutz, Edward A. Sander, James Ankrum

“…Because of adipose’s role in so many aspects of human health, there is a critical need for in vitro models that replicate adipose architecture and function. Traditional monolayer models, despite their convenience, are limited, showing heterogeneity and functional differences compared to 3D models. …”
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