Milk phenomics: leveraging biological bonds with blood and infrared technologies for evaluating animal nutritional and health status by Diana Giannuzzi, Chiara Evangelista, Angela Costa, Giuseppe Conte, Gianluca Neglia, Umberto Bernabucci, Stefano Schiavon, Marcello Mele, Alessio Cecchinato

“…Indeed, monitoring the nutritional and health status becomes paramount, aiming for an early detection of (sub)clinical health impairments. Given the mammary gland’s centrality in high-yielding dairy breeds, it’s unsurprising that the milk matrix provides insights about udder itself but also systemic metabolic function. …”
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Gene expansion in the hawkmoth Manduca sexta drives evolution of food-associated odorant receptors by Megha Treesa Tom, Philipp Brand, Sascha Bucks, Jin Zhang, Mario Ernesto Escobar Huezo, Bill S. Hansson, Sonja Bisch-Knaden

“…Our results suggest a link between the studied OR expansion and enhanced detection of odors emitted by valuable nectar sources in M. sexta.…”
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An Efficient In Vitro Regeneration Protocol and the Feature of Root Induction with Phloroglucinol in <i>Paeonia ostii</i> by Keyuan Zheng, Luming Yao, Yumei Xie, Shuiyan Yu, Yonghong Hu, Mulan Zhu

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Data curation of extracellular enzyme activity spectrophotometric or fluorometric data by Niels Gudmand Christiansen, Paul Iturbe-Espinoza, Rumakanta Sapkota, Anne Winding

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Non-Targeted Lipidomics Analysis of Characteristic Milk Using High-Resolution Mass Spectrometry (UHPLC-HRMS) by Tingting Wei, Tianxiao Zhou, Shenping Zhang, Zhexue Quan, Yang Liu

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Integrated assessment of soil quality and contaminant risks in salinized farmland adjacent to an oil-exploitation zone: insights from the Yellow River Delta by Xiaofan Xie, Jijin Cai, Xiaosong Yang, Hui Qiu, Yuexian Liu, Yuanxun Zhang

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Evaluating LiDAR‐Derived Structural Metrics for Predicting Bee Assemblages in Managed Forests by Marissa H. Chase, Alexandra Harmon‐Threatt, Samuel F. Stickley, Brian Charles, Jennifer M. Fraterrigo

“…We investigated whether structural metrics derived from light detection and ranging (LiDAR) data could predict bee diversity and abundance, as well as bee functional trait composition within managed and unmanaged forests in the central hardwood region in southern Illinois, United States of America. …”
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Time Series Prediction Method of Clean Coal Ash Content in Dense Medium Separation Based on the Improved EMD-LSTM Model by Kai Cheng, Xiaokang Zhang, Keping Zhou, Chenao Zhou, Jielin Li, Chun Yang, Yurong Guo, Ranfeng Wang

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Evidence of limited N2 fixation in the Southern Ocean by Shuai Gu, Hugo Berthelot, Yajuan Lin, Weiyi Tang, Julie Robidart, A. Murat Eren, Hugh W. Ducklow, Nicolas Cassar

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Genotyping from targeted NGS data based on a small set of SNPs correctly matches patient samples by Deyan Yordanov Yosifov, Christof Schneider, Stephan Stilgenbauer, Daniel Mertens, Eugen Tausch

“…In two cohorts of totally 1441 patients with sequential samples, we could identify 3 sample swaps, 7 mislabelled samples (3 externally and 4 internally) and 1 mistake of unknown origin. We provide an R function for automated detection of sample swaps and mislabelling to the community as a free and open-source tool.…”
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The Influence of Thickness and Spectral Properties of Green Color-Emitting Polymer Thin Films on Their Implementation in Wearable PLED Applications by Kyparisis Papadopoulos, Despoina Tselekidou, Alexandros Zachariadis, Argiris Laskarakis, Stergios Logothetidis, Maria Gioti

“…Finally, we applied the functional green light-emitting PLED devices based on the two studied materials for the detection of Rhodamine 6G. …”
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Torsion Pendulum Apparatus for Ground Testing of Space Inertial Sensor by Shaoxin Wang, Zuolei Wang, Dongxu Liu, Peng Dong, Jian Min, Ziren Luo, Keqi Qi, Jungang Lei

“…The precise movement of the test mass along a geodesic is crucial for gravitational wave detection in space. To maintain this motion, the core payload-inertial sensor incorporates multiple functional units designed to mitigate various sources of stray force noise affecting the test mass. …”
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Blind super-resolution network based on local fuzzy discriminative loss for fabric data augmentation by Ning Dai, Xiaohan Hu, Kaixin Xu, Xudong Hu, Yanhong Yuan, Bo Cao, Luhong Shi

“…In the field of fabric defect detection, the development of algorithms has been hindered by issues such as poor quality and limited quantity of open-source datasets. …”
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Experiments on the application of the infrasound method of remote monitoring of snow avalanches in the Khibiny Mountains by A. V. Fedorov, I. S. Fedorov, V. E. Asming, A. Yu. Motorin

“…Visual slope observations are still the main method of avalanche detection. As a result, avalanche statistics, especially in remote mountain areas, remain incomplete. …”
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INDICATORS AND CRITERIA FOR ASSESSMENT OF MULTIFUNCTIONAL DEVELOPMENT OF RURAL TERRITORIES by O. V. Kosenchuk, A. V. Zinich

“…In addition, it is established that to obtain reliable results, researchers need to have accessible and transparent source data. It is also concluded that the goals and objectives of the research on the rural areas’ development should be specified or measured.Conclusion. …”
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Urotensin-II: More Than a Mediator for Kidney by Ayşe Balat, Mithat Büyükçelik

“…Although both hU-II and its receptor, GPR14, are detected in several tissues, kidney is a major source of U-II in humans. …”
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Research on the Non-Uniform Temperature Field Distribution of Q355B Steel for Grain Storage under Fire Conditions by Min Yu, Zhen Cheng, Rui-Bin Gou, Nian Wang

“…The peak temperature Tmax and the heating rate vr at the fire source points of each test plate increased linearly with the increase of heat input Q at the fire source. …”
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Machine Learning-Driven GLCM Analysis of Structural MRI for Alzheimer’s Disease Diagnosis by Maria João Oliveira, Pedro Ribeiro, Pedro Miguel Rodrigues

“…<i>MCI</i>, the proposed model outperformed state-of-the-art imaging source studies by 0.1% and non-imaging source studies by 4.6%. …”
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An Intelligent Inspection and Scheduling Algorithm for Integrated Pipe Gallery Based on Cloud Robot by ZHOU Xiwei, SHANG Xiao, SHANG Xinjuan, YAN Maode, WANG Fafa

“…The algorithm has very strong exploring precision and variable function, which makes this algorithm of fewer iterations, and can effectively improve the real-time detection of pipeline leakage source in pipeline corridor. …”
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Comparative analysis of microwave indices for freeze/thaw state monitoring and adaptive thresholding implications by Zhicheng Yang, Tianjie Zhao, Qingfeng Wang, Lihua Peng, Youhua Ran, Yu Bai, Jingyao Zheng, Panpan Yao, Zhiqing Peng, Jinbiao Zhu, Xiaokang Kou, Yuei-An Liou, Jiancheng Shi

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