Interest groups in Lithuania: dynamics of development and characteristics of institutionalization by Alvidas Lukošaitis

“…Efforts of the State to coordinate (sometimes, even aggressively "interfere" in places it should not) the activities of the interest groups in Lithuania are obvious. …”
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Equidistant Landmarks Fail to Produce the Blocking Effect in Spatial Learning Using a Virtual Water Maze Task with Healthy Adults: A Role for Cognitive Mapping? by Róisín Deery, Seán Commins

“…Blocking is a feature of cue competition where prior knowledge of a cue (X) will interfere with the subsequent learning of a second cue (XY). …”
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Overcoming marked insulin resistance in a patient with type 2 diabetes mellitus by means of insulin pumptherapy by Ekaterina Viktorovna Artemova, Irina Vladimirovna Kononenko, Olga Mikhailovna Smirnova, Alexander Yur'evich Mayorov

“…Patients with type 2 diabetes mellitus (T2DM) often feature resistance to endogenous and exogenous insulin which is a serious problemto overcome. …”
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Efficient deep learning based rail fastener screw detection method for fastener screw maintenance robot under complex lighting conditions by Yijie Cai, Ming He, Bin Chen

“…The GB-Neck part can lighten the feature fusion network while maintaining the ability of accurate feature information extraction operation. …”
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Notes on the Essential System to Acquire Information by Paolo Rocchi

“…Universal experience shows how sharpness is the indispensable feature of detected signals and we calculate the discernability of observables using various mathematical formalisms. …”
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Lipid Mediators in Acne by Monica Ottaviani, Emanuela Camera, Mauro Picardo

“…Altered ratio between saturated and unsaturated fatty acids has been indicated as an important feature to be considered in addition to the altered amount of specific fatty acids such as linoleic acid. …”
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YOLOv8n-DSDL: A lightweight dual-backbone network with decoupled self-attention for cotton maturity detection by Meiqi Zhong, Linjing Wei, Henghui Mo

“…The model integrates the original YOLOv8n with a lightweight StarNet to form a dual-backbone structure, enabling efficient multi-channel feature fusion and enhancing fine-grained maturity feature extraction. …”
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Late emergence of pathological oscillatory activity in the retina of the Retinitis pigmentosa model RCS (Royal College of Surgeons) rat. by Nruthyathi, Marie Jung, Jing Wang, Viviana Rincón Montes, Andreas Offenhäusser, Antje Willuweit, Frank Müller

“…As oscillations might interfere with the performance of therapeutic approaches to restore vision, e.g., retinal prostheses, it is important to know, whether they are a common feature of retinal degeneration. …”
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AI-Driven Signal Processing for SF6 Circuit Breaker Performance Optimization by Philippe A. V. D. Liz, Giovani B. Vitor, Ricardo T. Lima, Aurélio L. M. Coelho, Eben P. Silveira

“…For this, the current and voltage signals of a real Brazilian substation are used as AI inputs, considering the noise and interferences common in this type of environment. Thus, the proposed modeling considers the signal preprocessing steps for feature extraction, the generation of the dataset for model training, the use of different machine learning techniques to automatically find the desired points, and, finally, the identification of the best moments for controlled switching of the circuit breakers. …”
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Scattering-Based Machine Learning Algorithms for Momentum Estimation in Muon Tomography by Florian Bury, Maxime Lagrange

“…This can be alleviated by including dedicated momentum measurement devices in the experiment, which have a potential cost and can interfere with measurement. An alternative consists of leveraging information on scattering withstood through a known medium. …”
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Algorithm Improvement for Mobile Event Detection with Intelligent Tunnel Robots by Li Wan, Zhenjiang Li, Changan Zhang, Guangyong Chen, Panming Zhao, Kewei Wu

“…Despite differences from fixed surveillance, mobile-captured traffic videos have complex backgrounds and device conditions that interfere with accurate traffic event identification, warranting more research. …”
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Fatigue Detection Algorithm for Nuclear Power Plant Operators Based on Random Forest and Back Propagation Neural Networks by Yuhang Jiang, Junsong Li, Yu Zhang

“…Compared to physiological data-based detection methods, it is simple, convenient, cost-effective, and does not interfere with operators.…”
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3D Coaxial Printing of Small‐Diameter Artificial Arteries by Yuxiang Zhu, Siying Liu, Xuan Mei, Zeng Lin, Tiffany V. Pulido, Jixin Hou, Srikar Anudeep Remani, Dhanush Patil, Martin Taylor Sobczak, Arunachalam Ramanathan, Sri Vaishnavi Thummalapalli, Lindsay B. Chambers, Churan Yu, Shenghan Guo, Yiping Zhao, Yang Liu, Xianqiao Wang, Jessica N. Lancaster, Yu Shrike Zhang, Xiangfan Chen, Kenan Song

“…A 3D‐printed nozzle is presented, featuring unique internal structures, to extrude artificial vascular grafts with a flower‐mimicking geometry. …”
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Monitoring Dairy Cow Rumination Behavior Based on Upper and Lower Jaw Tracking by Ning Wang, Xincheng Li, Shuqi Shang, Yuliang Yun, Zeyang Liu, Deyang Lyu

“…To address behavioral interferences such as head turning and lowering during rumination in group-housed dairy cows, an enhanced network algorithm combining the YOLOv5s and DeepSort algorithms was developed. …”
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Disruptive colouration and perceptual grouping. by Irene Espinosa, Innes C Cuthill

“…Camouflage is the primary defence of many animals and includes multiple strategies that interfere with figure-ground segmentation and object recognition. …”
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Scalable VO2-metal metasurface enabling adaptive and frequency-selective infrared switching by Xun Haoxuan, Wei Hang, Chen Jian, Wang Rui, Guan Huan, Zhu Hongyu, Dou Shuliang, Gu Jinxin, He Yunbin, Li Xiaofeng, Zhan Yaohui

“…Moreover, while maintaining excellent optical performance, we utilize full-wave simulations to enlarge the feature sizes of the Al metasurface structure to meet the demands for large-area fabrication. …”
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Tumors defective in homologous recombination rely on oxidative metabolism: relevance to treatments with PARP inhibitors by Álvaro Lahiguera, Petra Hyroššová, Agnès Figueras, Diana Garzón, Roger Moreno, Vanessa Soto‐Cerrato, Iain McNeish, Violeta Serra, Conxi Lazaro, Pilar Barretina, Joan Brunet, Javier Menéndez, Xavier Matias‐Guiu, August Vidal, Alberto Villanueva, Barbie Taylor‐Harding, Hisashi Tanaka, Sandra Orsulic, Alexandra Junza, Oscar Yanes, Cristina Muñoz‐Pinedo, Luís Palomero, Miquel Àngel Pujana, José Carlos Perales, Francesc Viñals

“…On the other hand, shifting from an OXPHOS to a highly glycolytic metabolism interferes with the sensitivity to PARP inhibitors (PARPi) in these HRD cells. …”
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Filter Learning-Based Partial Least Squares Regression and Its Application in Infrared Spectral Analysis by Yi Mou, Long Zhou, Weizhen Chen, Jianguo Liu, Teng Li

“…This modification enables FPLS to dynamically adapt to the characteristics of the data, thereby enhancing its feature extraction and noise suppression capabilities. …”
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The Influence and Compensation of Environmental Factors (pH, Temperature, and Conductivity) on the Detection of Chemical Oxygen Demand in Water by UV-Vis Spectroscopy by Jingwei Li, Yipei Ding, Yijing Lu, Jia Liu, Chenxuan Zhou, Zhiyu Shao

“…However, environmental factors (pH, temperature, conductivity, etc.) can interfere with spectral information, thereby influencing the stability and accuracy of COD detection. …”
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Bimetallic Ruthenium‐Cobalt Catalyst Supported on Carbon Nanotubes: Synthesis, Characterization, and Application in Electrochemical Sensing of Isoleucine by Omrüye Ozok Arıcı, Aykut Caglar, Bassam A. Najri, Nahit Aktaş, Arif Kivrak, Hilal Kivrak

“…Abstract In this work, a bimetallic Ru‐Co catalyst based on carbon nanotubes (Ru‐Co/CNT) with a Ru to Co ratio of 95:5 is developed. The catalyst, featuring a total metal loading of 3% on the CNTs, is synthesized using the NaBH4 reduction method. …”
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