GPPK4PCM: pest classification model integrating growth period prior knowledge by Jianhua Zheng, Junde Lu, Yusha Fu, Ruolin Zhao, Jinfang Liu, Zhaoxi Luo, Zhijie Luo

“…The model is composed of three sub-modules where: i) A deep learning network first identifies the growth periods of pests, and this prior knowledge is then used to guide the text encoder of the CLIP pre-trained model in generating period-specific textual features. ii) A parallel deep learning network extracts visual features from pest images. iii) An efficient low-rank multimodal fusion module integrates textual and visual features through parameter-optimized tensor decomposition, significantly improving classification accuracy across pest developmental phases. …”
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Neuropsychological profiles of patients suffering from hallucinogen persisting perception disorder (HPPD): A comparative analysis with psychedelic-using and non-using controls by Georg Leistenschneider, Tomislav Majić, Simon Reiche, Thomas G. Riemer

“…Abstract Classic psychedelics like LSD and psilocybin are showing promising effects in treating certain psychiatric disorders. Despite their low toxicity and lack of an addictive potential, in some individuals, psychedelics can be associated with persisting psychological harms. …”
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Spectral Domain Optical Coherence Tomography in Diffuse Unilateral Subacute Neuroretinitis by Carlos Alexandre de A. Garcia Filho, Ana Claudia Medeiros de A. G. Soares, Fernando Marcondes Penha, Carlos Alexandre de Amorim Garcia

“…This thinning in RNFL and CMT may reflect the low visual acuity in patients with DUSN.…”
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BLE Signal Processing and Machine Learning for Indoor Behavior Classification by Yi-Shiun Lee, Yong-Yi Fanjiang, Chi-Huang Hung, Yung-Shiang Huang

“…While video-based methods provide accurate behavior analysis, privacy concerns drive interest in non-visual alternatives. This study proposes a Bluetooth Low Energy (BLE)-enabled indoor positioning and behavior recognition system, integrating machine learning techniques to support sustainable and privacy-preserving health monitoring. …”
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Integration of drone and machine learning technology for predicting power infrastructure faults efficiently by WT Alshaibani, Ibraheem Shayea, Ramazan Caglar, Tareq Babaqi

“…As a proof of concept, YOLO V8 was employed to predict electrical faults in insulators, achieving a box loss of 0.525, a classification loss of 0.3887, and a precision of 0.8976, demonstrating high accuracy and low loss.…”
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Dynamic Bearing–Angle for Vision-Based UAV Target Motion Analysis by Yu Luo, Hongwei Fu, Tingting Fu, Hao Cha, Bing Tian, Huatao Tang, Feng Liu

“…By adjusting the noise covariance matrix in real time and assigning low weights to the outlier observations using the Huber weight function, the Dynamic Bearing–Angle algorithm is able to effectively cope with non-Gaussian noise and sudden target maneuvers. …”
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Dynamic Range Expansion Using Cumulative Histogram Learning for High Dynamic Range Image Generation by Hanbyol Jang, Kihun Bang, Jinseong Jang, Dosik Hwang

“…In modern digital photographs, most images have low dynamic range (LDR) formats, which means that the range of light intensities from the darkest to the brightest is much lower than the range that can be perceived by the human eye. …”
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Memristor-Based Spiking Neuromorphic Systems Toward Brain-Inspired Perception and Computing by Xiangjing Wang, Yixin Zhu, Zili Zhou, Xin Chen, Xiaojun Jia

“…At the system level, we summarize bio-inspired neuromorphic platforms integrating TSM neurons with visual, tactile, thermal, and olfactory sensors, achieving real-time edge computation with high accuracy and low power. …”
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Ghost Discrimination Method for Broadband Direct Position Determination Based on Frequency Coloring Technology by Mengling Yu, Long Yang, Yixin Yang, Xionghou Liu, Lu Wang

“…It can effectively distinguish multiple targets even at a low SNR level, a significant improvement compared with the original DPD. …”
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Development of Graves’ disease in a patient with lymphocytic hypophysitis following glucocorticoid treatment by Yuka Ono, Norio Wada, Shuhei Baba, Hajime Sugawara, Arina Miyoshi, Shinji Obara

“…Laboratory tests indicated low serum free thyroxine (T4), thyroid-stimulating hormone (TSH), cortisol, luteinizing hormone, and follicle-stimulating hormone. …”
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Effects of search intent on eye-movement patterns in a change detection task by Sangil Lee, Minho Lee, Hyeonggyu Park, Mun-Seon Chang, Ho-Wan Kwak

“…In the “low-specific intent” condition, participants were informed that a change would occur. …”
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Questioning the effectiveness of composite Polishing systems by crosschecking profilometer and dental microscope outcomes by Bora Korkut, Elif Alkan, Ezgi Kızıl Öztürk, Cafer Türkmen, Dilek Tağtekin

“…High SRI scores for the mylar strip corresponded to the low Ra scores. Therefore, Ra measurements may be misleading without DOM confirmation. …”
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Optical reconstructive treatment of a patient with essential mesodermal dystrophy of the iris by N. P. Sobolev, S. A. Borzenok, M. A. Soboleva, Yu. V. Shkandina, E. P. Sudakova

“…Patient R., 48 yrs, was diagnosed with OU EMID, low hyperopia, astigmatism, and presbyopia. In order to prevent the development of secondary glaucoma and correct refractive anomalies, the patient was subjected to phacoemulsification with implantation of a multifocal toric IOL, synechiotomy, and iris plastic surgery. …”
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High-resolution esophageal manometry in patients with achalasia by A. A. Smirnov, M. M. Kiriltseva, M. E. Luybchenko, L. I. Davletbaeva, A. V. Kochetkov

“…There is no unified view of the cause of this phenomenon. We assumed that low pressure figures may be affected by incorrect installation of the manometric catheter.Methods and materials. …”
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Semantic SLAM using laser-vision data fusion: Enhancing autonomous navigation in unstructured environments by Ning Chen, Dong Wei, Dongsheng Lin, Linhan Lin

“…For the fusion of visual and laser information, NN-SLAM demonstrated a reduction in filter processing time by 0.2440 ms and 3.6497 ms on the KITTI 0011 and 0093 datasets, respectively, when compared to the Visual-Lidar Odometry and Mapping (ALOAM) algorithm. …”
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The prevalence and correlates of vision impairment and glasses ownership among ethnic minority and Han schoolchildren in rural China. by Huan Wang, Brandon Barket, Sharon Du, Dimitris Friesen, Ezra Kohrman, Esther Tok, Baixiang Xiao, Wenyong Huang, Ving Fai Chan, Graeme MacKenzie, Nathan Congdon

“…<h4>Purpose</h4>To determine the prevalence of visual impairment and glasses ownership among Han Chinese and Hui minority junior high school children in Ningxia Hui Autonomous Region, China.…”
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Supporting IOL’S in a Deficient Capsular Environment: The Tale of No “Tails” by Domenico Boccuzzi, Date Purva, Vincenzo Orfeo, Pasquale Napolitano, Alessandro Mularoni, Aurelio Imburgia, Matteo Forlini

“…All three surgical procedures can be considered adequate to correct aphakia in patients without capsular support with significant improvement in visual acuity and low complication.…”
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Evaluation of Refractive Results of LASIK and LASEK in Patients with Myopia and Myopic Astigmatism by Okan Taşkın, Zeynep Özbek

“…Objectives: To compare the mean visual acuity, spherical equivalent (SE), cylindrical refractive error, and central corneal thickness (CCT) results of LASIK and LASEK in patients with myopia and myopic astigmatism. …”
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VSRDiff: Learning Inter-Frame Temporal Coherence in Diffusion Model for Video Super-Resolution by Linlin Liu, Lele Niu, Jun Tang, Yong Ding

“…Video Super-Resolution (VSR) aims to reconstruct high-quality high-resolution (HR) videos from low-resolution (LR) inputs. Recent studies have explored diffusion models (DMs) for VSR by exploiting their generative priors to produce realistic details. …”
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Relationship between Learning Styles and Academic Performance in Medical Students at Jazan University, Kingdom of Saudi Arabia: A Cross-sectional Study by Mai Mohamed Elhassan Mustafa, Sami Alhazmi, Raum Abdu Hasan Ayoub, Sarah Jaber Mobarki, Reham Mousa Aljudayba, Imtenan Ali Oberi, Sarah Hassan Moafa, Yara Ajeebi, Lamyaa Ahmed Mohamed El Hassan, Salaheldin Elamin Abdalla Terair

“…Visual learning methods were significantly associated with age and academic class with preference to use diagrams and demonstrations in 202 (46.9%) of the participants. …”
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