Outcomes of mini-monovision with monofocal, enhanced monofocal and extended depth-of-focus intraocular lenses by Issac Levy, Issac Levy, Issac Levy, Rachana Prashant Shah, Ritika Mukhija, Mayank A. Nanavaty, Mayank A. Nanavaty

“…The complications, IOL exchange, and excimer laser enhancement rates were low across all groups.ConclusionWhile enhanced monofocal and EDOF IOLs may provide slightly better binocular intermediate visual outcomes and higher spectacle independence compared to monofocal lenses with regards to mini-monovision and intermediate vision performance, the differences are not statistically significant. …”
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AI-Driven Biophilic Façade Design for Senior Multi-Family Housing Using LoRA and Stable Diffusion by Ji-Yeon Kim, Sung-Jun Park

“…Nevertheless, current façade designs remain limited in diversity and fail to adequately address the visual needs and preferences of the elderly population. …”
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Calculating Depth for Dark Images Using Self-Supervised Learning: An Investigation of the Role of Edge Maps as Input by Shwetang Dubey, Satvik Watts, Ashok Malhotra, Kunal Prajapati, Pavan Chakraborty

“…Depth estimation from a single image is a challenging problem that has received significant attention recently. In low-light conditions and with multiple light sources where the pixel intensities are not uniform, the problem becomes even more difficult due to the lack of visual information in the image. …”
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Dataset and multivariate statistical tools for mathematical modeling of water desorption isotherms and infrared spectral properties of cupuassu (Theobroma grandiflorum L.) pulpMend... by Andrés F. Bahamón-Monje, Paola A. García-Rincón, Gentil A. Collazos-Escobar, Claudia M. Amorocho-Cruz, Nelson Gutiérrez-Guzmán

“…Additionally, mathematical modeling and multivariate statistical tools were applied to analyze water desorption behavior, optimizing low-temperature energy consumption and ensuring maximum storage stability. …”
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Design of New Primer Sets for the Development of a Loop-Mediated Isothermal Amplification for Rapid Detection of <i>Neisseria meningitidis</i> by Cuong Viet Vo, Trang Thu Nguyen, Huong Thu Ngo, Lan Anh Thi Bui, Toan Van Trinh, Loan Thi Vu, Hieu Dang Hoang, Phong Quoc Truong

“…Developing a rapid and low-cost <i>N. meningitidis</i> detection method is crucial, especially for developing countries. …”
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Redox forms of glutathione in malignant lesions of the stomach with varying aggressiveness degrees by I. A. Goroshinskaya, E. I. Surikova, E. M. Frantsiyants, I. V. Neskubina, L. A. Nemashkalova, D. E. Medvedeva, A. A. Maslov

“…Tumor GSH levels in G3 AC and SRCC exceeded the values in visually intact tissues. Moreover, in the visually intact tissue of patients with SRCC, GSH level was reduced relative to G1-2 AC and CGL. …”
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Research on a fast solution method of levitation electromagnetic fields based on the calculus of variations by LIU Shuai, DENG Chuyan

“…This paper presented research focused on medium-low speed maglev trains, leveraging the principle of the calculus of variations to calculate the electromagnetic fields of levitation electromagnets. …”
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Randomised controlled trial to assess the effectiveness of apnoeic oxygenation in adults using low-flow or high-flow nasal cannula with head side elevation versus usual care to pre... by Shahan Waheed, Nazir Najeeb Kapadia, Muhammad Faisal Khan, Salima Mansoor Kerai, Ahmed Raheem, Rubaba Naeem

“…The intervention constitutes head side elevation up to 30° for improving glottis visualisation together with low-flow or high-flow oxygen delivery through nasal cannula to increase safe apnoea time for participants undergoing endotracheal intubation. …”
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Research on coal mine robot positioning algorithm based on integration of ORB-SLAM3 vision and inertial navigation by Wei CHEN, Shuaida WU, Zijian TIAN, Fan ZHANG, Yi LIU

“…Due to the narrow underground environment of coal mine, dark and changeable light, the mine image has the characteristics of low illumination, low contrast map and uneven color, which affects the matching result of visual SLAM feature points extraction and makes the positioning performance drop sharply. …”
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Smaller-incision new-generation implantable miniature telescope in late-stage age-related macular degeneration: 6 month outcomes by Mario Damiano Toro, Alfonso Savastano, Faustino Vidal Aroca, Paola Sasso, Giuseppe Francione, Gaetano Fioretto, Marina Montemagni, Claudio Xompero, Nicola Claudio D'Onofrio, Ciro Costagliola, Stanislao Rizzo

“…Purpose: To evaluate the intermediate-term visual and safety outcomes of the small-incision second-generation implantable miniature telescope (SING IMT) in patients with late-stage age-related macular degeneration (AMD) at 6 months post-surgery. …”
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Boosting brain-computer interface performance through cognitive training: A brain-centric approach by Ziyuan Zhang, Ziyu Wang, Kaitai Guo, Yang Zheng, Minghao Dong, Jimin Liang

“…Using the rapid serial visual presentation (RSVP)-based BCI, we evaluated the behavioral and electroencephalogram (EEG) decoding performance of subjects before and after cognitive training in high target percentage (with AB) and low target percentage (without AB) surveillance tasks, respectively. …”
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Monte carlo study of the effect of collimator thickness on T-99m source response in single photon emission computed tomography by Jalil Islamian, Mohammad Taghi Toossi, Mahdi Momennezhad, Seyyed Zakavi, Ramin Sadeghi, Michael Ljungberg

“…The current study is an evaluation of the effects of different thicknesses of a low-energy high-resolution (LEHR) collimator on tomographic spatial resolution in SPECT. …”
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Resting-state fNIRS reveals changes in prefrontal cortex functional connectivity during TENS in patients with chronic pain by Yijing Luo, Jiahao Du, Hongliu Yu, Fanfu Fang, Ping Shi

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Motion feature extraction using magnocellular-inspired spiking neural networks for drone detection by Jiayi Zheng, Jiayi Zheng, Yaping Wan, Xin Yang, Hua Zhong, Minghua Du, Gang Wang, Gang Wang

“…To design and train the MG-SNN, we propose a new backpropagation method called Dynamic Threshold Multi-frame Spike Time Sequence (DT-MSTS), and establish a dataset for the training and validation of MG-SNN, effectively extracting and updating visual motion features. Experimental results in terms of drone detection performance indicate that the incorporation of MG-SNN significantly improves the accuracy of low-altitude drone detection tasks compared to popular small object detection algorithms, acting as a cheap plug-and-play module in detecting small flying targets against complex backgrounds.…”
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Consequences of using renewable energy sources by N. G. Lyubimova, A. S. Flaksman

“…The methodological basis of the study includes general scientific methods (generalization, systematisation) and economic-statistical methods (comparative analysis, tabular techniques for data visualisation). The main results of the study lie in justifying large investment costs in RES which are associated with provision of significant areas of land and sea and their withdrawal from agricultural turnover; with scarce and poorly developed deposits of non-energy commodities which are necessary for the creation of RES equipment; with unevenness in energy production and its low density in wind and solar power plants. …”
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Hierarchical Reinforcement Learning with Automatic Curriculum Generation for Unmanned Combat Aerial Vehicle Tactical Decision-Making in Autonomous Air Combat by Yang Li, Wenhan Dong, Pin Zhang, Hengang Zhai, Guangqi Li

“…This study proposes an unmanned combat aerial vehicle (UCAV)-oriented hierarchical reinforcement learning framework to address the temporal abstraction challenge in autonomous within-visual-range air combat (WVRAC) for UCAVs. The incorporation of maximum-entropy objectives within the MEOL framework facilitates the optimization of both autonomous low-level tactical discovery and high-level option selection. …”
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Thoracolumbar Fractures Due to Speed-Humps: A Case Series of Spine Fractures from an Atypical Cause of Injury by Rogério P. Amorim, Vinícius M. Henriques, Lucas L. Santos, Fernando A. Vasconcelos, Alexandre M. Schmidt, Francisco L. Torrão, Hebert S. Junqueira, Carlos A. S. Moreira, Vinícius G. Reis, Fernando Guedes

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Different rs-fMRI Data Processing Methods in the Study of Vascular Cognitive Impairment by Ying GUAN, Luwen ZHU, Feng WANG, Danna CAO, Xiaoling LI, Qiang TANG

“…About 40%of patients with cerebrovascular disease will have cognitive impairment, which can be expressed in different degrees of memory, language and visual space ability, and affect patients'daily activities, social interaction activities and work ability severely. …”
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An Asynchronous Training-Free SSVEP-BCI Detection Algorithm for Non-Equal Prior Probability Scenarios by Junsong Wang, Yuntian Cui, Hongxin Zhang, Haolin Wu, Chen Yang

“…Most of the existing steady-state visual evoked potential (SSVEP) detection algorithms treat the prior probability of each alternative target being selected as equal. …”
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The effectiveness of Irifrin 2.5 % and Irifrin-BK 2.5 % drugs in the treatment of computer vision syndrome by E. L. Efimova, V. V. Brzhesky, I. E. Panova, A. S. Aleksandrova, M. A. Zercalova, Ya. M. Poroger

“…Purpose: to assess the results of treatment of patients with computer visual syndrome (CVS) accompanied by low and mild myopia. …”
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