Random resistive memory-based deep extreme point learning machine for unified visual processing by Shaocong Wang, Yizhao Gao, Yi Li, Woyu Zhang, Yifei Yu, Bo Wang, Ning Lin, Hegan Chen, Yue Zhang, Yang Jiang, Dingchen Wang, Jia Chen, Peng Dai, Hao Jiang, Peng Lin, Xumeng Zhang, Xiaojuan Qi, Xiaoxin Xu, Hayden So, Zhongrui Wang, Dashan Shang, Qi Liu, Kwang-Ting Cheng, Ming Liu

“…Abstract Visual sensors, including 3D light detection and ranging, neuromorphic dynamic vision sensor, and conventional frame cameras, are increasingly integrated into edge-side intelligent machines. …”
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Using mechanical and thermodynamic methods to evaluate the effects of nanomaterials on thermal cracking mechanisms of asphalt mixtures under the influence of different moisture con... by Amir Hossein Asadi, Gholam Hossein Hamedi, Alireza Azarhoosh

“…The thermodynamic approach based on the chemical and molecular properties of HMA components, along with mechanical methods, can provide a better vision of the causes and factors affecting the occurrence of thermal cracking in the form of adhesive and cohesive failure. …”
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Relaciones óptimas de uso de mano de obra en la producción de uva de mesa de San Juan para diferentes niveles de agregación de capital by R. ESPÍNDOLA, O. MIRANDA, M. BATTISTELLA, A. GENNARI

“…Además, se calculó la productividad media y marginal para la mano de obra permanente y temporal. La des - viación estándar del valor de la tierra es de  4.217.370, con antigedades máximas de plantación de 74 años. …”
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Image depth estimation assisted by multi-view projection by Liman Liu, Jinshan Tian, Guansheng Luo, Siyuan Xu, Chen Zhang, Huaifei Hu, Wenbing Tao

“…To address this problem, a multi-view projection-assisted image depth estimation network is proposed, which integrates multi-view stereo vision into a deep learning-based encoding-decoding image depth estimation framework without pre-estimation of view bitmap. …”
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Visual Acuity Outcomes and Influencing Factors in a Cohort of UK Real-World Diabetic Macular Oedema Patients During the First Two Years of Anti-VEGF Treatment by Qing Wen, Helene Karcher, David M. Wright, Samriddhi Buxy Sinha, Usha Chakravarthy, Catarina Santos, Franklin Igwe, Recivall Salongcay, Katie Curran, Tunde Peto

“…Conclusions: Our study confirms the effectiveness of anti-VEGF treatments in improving or maintaining vision for DMO patients, consistent with previous real-world clinical data. …”
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Screening of West Siberian patients with primary congenital glaucoma for CYP1B1 gene mutations by D. E. Ivanoshchuk, S. V. Mikhailova, O. G. Fenkova, E. V. Shakhtshneider, A. Z. Fursova, I. V. Bychkov, M. I. Voevoda

“…Primary congenital glaucoma (PСG) is a visual organ pathology that leads to progressive blindness and poor vision in children. Its main cause is an anomaly of the anterior chamber angle. …”
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Ontology of functional synergetics in virtual cognitive-semiotic design of information processes and systems by R. G. Bolbakov, V. A. Mordvinov, P. V. Berezkin, I. I. Sivitsky

“…The analytical review is based on the authors’ vision of deepening the concept of synergetics as applied to a variety of modern information processes and systems. …”
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Variability of plankton communities in relation to the lunar cycle in oceanic waters by Santiago Hernández-León, M. Loreto Torreblanca, M. Loreto Torreblanca, Inma Herrera, Inma Herrera, Laia Armengol, Gara Franchy, Alejandro Ariza, Juan Carlos Garijo, María Couret

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cigFacies: a massive-scale benchmark dataset of seismic facies and its application by H. Gao, X. Wu, X. Sun, M. Hou, M. Hou, H. Gao, G. Wang, H. Sheng

“…Data-driven deep-learning approaches are highly promising for automating the seismic facies classification with high efficiency and accuracy, as they have already achieved significant success in similar image classification tasks within the field of computer vision (CV). However, unlike the CV domain, the field of seismic exploration lacks a comprehensive benchmark dataset for seismic facies, severely limiting the development, application, and evaluation of deep-learning approaches in seismic facies classification. …”
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Development and validation of a diagnostic model for migraine without aura in inpatients by Zhu-Hong Chen, Zhu-Hong Chen, Guan Yang, Chi Zhang, Chi Zhang, Dan Su, Dan Su, Yu-Ting Li, Yu-Xuan Shang, Wei Zhang, Wen Wang

“…Key predictors in the regression model included patent foramen ovale (PFO) (OR = 2.30, p = 0.01), blurred vision (OR = 0.40, p = 0.001), dizziness (OR = 0.16, p < 0.01), and anxiety/depression (OR = 0.41, p = 0.02). …”
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Enhancing sustainable solid waste management through separate source collection by O. Arabiyat, J.T. Al-Bakri, F. Kölsch, S. Al-Omari, H. Aladwan

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Women Empowered to Connect With Addiction Resources and Engage in Evidence-Based Treatment (WE-CARE)—an mHealth Application for the Universal Screening of Alcohol, Substance Use, D... by Krystyna Isaacs, Autumn Shifflett, Kajal Patel, Lacey Karpisek, Yi Cui, Maayan Lawental, Golfo Tzilos Wernette, Brian Borsari, Katie Chang, Tony Ma

“…WE-CARE included screening instruments (for alcohol, substance use, depression, and anxiety), a moderated discussion forum, educational microlearning videos, a frequently asked questions section, and resources for linkage to treatment. …”
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Retos en la gestión del talento humano: el papel del marketing interno en tiempos desfavorables - Challenges in talent management: The role of internal marketing in adverse times by Francia Contreras García, Tania Elena González Alvarado, Pablo Cabanelas Lorenzo

“…Este estudio ofrece una visión integral de cómo estas variables interactúan y sugiere nuevas líneas de investigación para mejorar la gestión del talento. …”
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Evaluación de la intersiembra de rúcula (Eruca sativa Mill.) y lechuga (Lactuca sativa L.) en Colonia Benítez, Chaco by Mauro SHINDOI, E.L. AVICO, P.C. SARCO, D.E. MONTEROS SOLITO

“…En lechuga el número de hojas y la longitud del tallo también se vieron afectados. En LR1 la intersiembra no tuvo efecto en el rendimiento de rúcula; sin embargo, en LR2 el efecto fue negativo, tanto para lechuga como para rúcula. …”
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Lokalisasi Mobile Robot berdasarkan Citra Kamera OMNI menggunakan Fitur Surf by Susijanto Tri Rasmana, Harianto Harianto, Pauladie Susanto, Anan Pepe Abseno, Zendi Zakaria Raga Permana

“…In this research, robot localization was by vision-data based, which was captured by catadioptric-types omnidirectional cameras. …”
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Migración interna y ciudades de América Latina: efectos sobre la composición de la población by Jorge Rodríguez Vignoli

“…Estos resultados actualizan, modifican y complejizan la visión existente en materia de impacto de la migración interna sobre las ciudades. …”
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Evolution du comportement de manipulation chez les strepsirrhiniens by Louise Peckre, Anne‑Claire Fabre, Anthony Herrel, Christine Wall, Emmanuelle Pouydebat

“…Les observations sont issues de l’analyse de vidéos réalisées au Duke University Lemur Center, chaque individu ayant été filmé dans son environnement habituel lors de ses repas sur une durée moyenne de 1,0 ± 0,1 heure permettant d’observer en moyenne 62 ± 5 saisies par individu. …”
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Description and Analysis of Horse Swimming Strategies in a U-Shaped Pool by Pauline Gaulmin, Frédéric Marin, Claire Moiroud, Audrey Beaumont, Sandrine Jacquet, Emeline De Azevedo, Pauline Martin, Fabrice Audigié, Henry Chateau, Chloé Giraudet

“…Initially, a classifier was developed to categorize 125 video segments into four groups (CatA to CatD). The results demonstrated that these categories correspond to specific swimming strategies, with CatA aligning with S1, CatB with S2, and CatC and CatD representing variations of S3. …”
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Enhancement of convolutional neural network for urban environment parking space classification by S. Rahman, M. Ramli, F. Arnia, R. Muharar, M. Ikhwan, S. Munzir

“…Modification of the Convolutional Neural Networks architecture is assumed to increase the work efficiency of the smart parking system in processing parking availability information.METHODS: Research is focusing on developing parking space classification techniques using camera sensors due to the rapid advancement of technology and algorithms in computer vision. The input image has 3x3 dimensions. The first convolution layer accepts the input image and converts it into 56x56 dimensions. …”
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Perspektywiczne kierunki rozwoju biologii człowieka w Polsce, ze szczególnym uwzględnieniem auksologii by Napoleon Wolański, Anna Siniarska

“…Most likely generalizations of tools behaviors and social contacts have caused brain development and favored abstraction, future vision and articular speech. Since the beginning of Civilization, science had been created not because there was a demand for it, but as the reflection on human life, the result of technical achievements, and as the answer for the question “why does it happen?” …”
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