Using Molecular and Biological Tools for Assessment of TYLCV Resistant Tomato Cultivars Commercially Grown in Southern Palestine by Sahar Amro, Raed Alkowni, Abdul-Jalil Hamdan

“…The sensitivity of molecular methods over bioassays was evaluated, and combined methods were suggested for any cultivars resistance assessments. …”
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Creative city narratives vs. lived realities: an ethnographic study of UNESCO designation in Como, Italy by Massimiliano Raffa

“…Anchored in critical urban theory and cultural sociology, the research investigates how institutional narratives of creativity intersect with the interpretive frameworks through which cultural actors understand their work.MethodsThe research employed ethnographic methods, including semi-structured interviews with diverse cultural producers (theatrical practitioners, visual artists, craftspeople, musicians, filmmakers, venue operators), participant observation at cultural events, and document analysis. …”
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Discussing Questions of Laser Refractive Surgery in Hyperopia: Literature Review and Clinical Experience by N. V. Maychuk, I. A. Mushkova, I. S. Malyshev, M. R. Obraztsova

“…Thus, the tactics of correction of hypermetropia by CRC methods require an integrated approach to the assessment of visual functions, drug preparation for surgery, careful implementation of the surgical stages of the intervention, and rational postoperative pharmacological support.…”
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Genetic Variants in Rare Ophthalmological Syndromes: Novel COL11A1 Splice Site Variant in a Brazilian Family with Stickler Syndrome Type 2 by Pedro Filipecki Mansilla, Vagner Loduca Lima, Gustavo Henrique Araújo Salomão, Denise Maria Christofolini

“…Purpose: To genetically investigate a family with a clinical and ophthalmological phenotype suggestive of Stickler syndrome (STL) and the association of molecular findings with ophthalmological, clinical characteristics, and family history. Methods: Specialized ophthalmologic evaluation using diagnostic methods such as fundoscopy, slit-lamp photography, and ocular biometry to describe the phenotypic characteristics of the index patient and family members. …”
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Life safety culture: the concept and the problem of its formation in educational organizations by E. A. Panina

“…The purpose of the research is to reveal the category “life safety culture” in various fields of knowledge and to substantiate the main theoretical determinants of its formation in educational institutions.   The following methods were used in the study: analysis and synthesis of scientific and methodological literature, methods of visual presentation of information. …”
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Machine Learning-Based Approaches for Breast Density Estimation from Mammograms: A Comprehensive Review by Khaldoon Alhusari, Salam Dhou

“…Machine learning methods can be further broken down into two categories: traditional machine learning and deep learning approaches. …”
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Neural circuit research using molecular barcode technology by Yasuhiro Go

“…These include imaging techniques such as magnetic resonance imaging (MRI), functional magnetic resonance imaging (fMRI), and positron emission tomography (PET), which noninvasively visualize brain structure and activity; electrophysiological techniques that measure intracellular potentials and currents and analyze cell electrical properties to understand brain activity; techniques to explore how gene expression affects brain function; genetic methods such as gene knockout/knock-in to study how brain cells function; and computational neuroscience methods such as mathematical modeling and simulation to understand the principles of how brain networks operate. …”
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Faecal analyses and alimentary tracers reveal the foraging ecology of two sympatric bats. by Sydney Moyo, David S Jacobs

“…We used three complementary methods to assess the diet of two insectivorous bat species: one an obligate aerial hunter, Miniopterus natalensis, and the other Myotis tricolor whose morphology and taxonomic affiliation to other trawling bats suggests it may be a trawler (capturing insects from the water surface with its feet and tail). …”
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Dynamic Skin: A Systematic Review of Energy-Saving Design for Building Facades by Jian Wang, Shengcai Li, Peng Ye

“…Compared with traditional static enclosure structures, dynamic skin can adapt its functions, characteristics, and methods based on constantly changing environmental conditions and performance requirements. …”
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Internally displaced in Tigray (Northern Ethiopia): Management and sustainability of shelter and settlement by Samuel Bekele, Domenico Patassini, Jacopo Galli

“…Data were gathered through interviews, questionnaires, focus group discussions, on-site observations, and visual documentation, supported by a comprehensive literature review. …”
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Bibliometric insights into the top 100 most-cited annual studies on digital health in nursing education (2020–2024) by Chunxiu Zhou, Lili Ma

“…Aim This study aims to use bibliometric methods to analyze highly cited nursing education articles on digital health, particularly those 100 top cited publications between 2020 and 2024, from the Web of Science (WOS) Core Collection. …”
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Causal Inference for Modality Debiasing in Multimodal Emotion Recognition by Juyeon Kim, Juyoung Hong, Yukyung Choi

“…This allows CausalMER to make unbiased predictions while being easily applied to existing MER methods in a model-agnostic manner, without requiring any architectural modifications. …”
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The technique of retrograde CBCT-sialography in obstructive parotid salivary gland syndrome by A. Ya. Razumova, A. A. Zubareva, A. I. Yaremenko, S. I. Kutukova, N. L. Petrov

“…Diagnosis of obstruction of the ductal system of the salivary glands is a difficult task. Standard research methods cannot detect such pathology. CBCT-sialography is a modern technique that will simplify and increase the informative value of diagnostics compared to an X-ray image.The objective was to study the possibility of visualizing the ductal system of the salivary glands by retrograde administration of a contrast agent using ultrasound navigation to perform cone beam tomography (CBCT-sialography).Methods and materials. …”
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Modeling Digital Business Ecosystems: A Systematic Literature Review by Chen Hsi Tsai, Jelena Zdravkovic, Janis Stirna

“…Modeling enables thorough visual analysis and facilitates the understanding and formation of DBEs. …”
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Automated Crack Width Measurement in 3D Models: A Photogrammetric Approach with Image Selection by Huseyin Yasin Ozturk, Emanuele Zappa

“…Structural cracks can critically undermine infrastructure integrity, driving the need for precise, scalable inspection methods beyond conventional visual or 2D image-based approaches. …”
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Didactic potential of digital technologies in linguistic education of university students by Olga M. Osiyanova, Yulia S. Kondrashina

“…Mathematical methods were used to track the formation of students' linguistic competence. …”
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Comparative Efficacy of Ultrasound-Guided Transversalis Fascia Plane Block Versus Quadratus Lumborum Block for Postoperative Analgesia in Inguinal Hernia Repair by P Naveenkumar, Naveena Pandian, Shanu Shanmugasundaram, B. Arun Kumar, Panneerselvam Periasamy

“…The primary outcome measure was the time to first rescue analgesia post-block, with secondary outcomes including total analgesic consumption and visual analog scale scores. Statistical analysis was performed using appropriate methods, with a P value < 0.05 considered significant. …”
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Empowering multilingualism in children with autism: Insights from parents and EFL teachers by Mohamed Amr M., Shaaban Tahany S., Jmaiel Hassen Alazhar

“…Methods. The research methodology involved conducting interviews with a total of 14 participants, including parents and teachers of children with ASD. …”
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Estimation of Missing DICOM Windowing Parameters in High-Dynamic-Range Radiographs Using Deep Learning by Mateja Napravnik, Natali Bakotić, Franko Hržić, Damir Miletić, Ivan Štajduhar

“…Although histogram-based methods showed satisfactory performance, especially scaling through identifying the peaks in the pixel value histogram, deep learning-based methods were better at selectively preserving clinically relevant image areas while removing background noise.…”
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Diagnostics of retinal pathologies by optical coherence tomography images using artificial intelligence tools by V. V. Neroev, A. A. Bragin, O. V. Zaytseva

“…The importance of early detection and monitoring of retinal diseases determines the relevance of the study devoted to the diagnosis of retinal pathologies by OCT images using artificial intelligence (AI) tools.The purpose is to develop algorithms for diagnosing retinal pathologies from OCT images by machine learning methods.Material and methods. The study used a dataset (20,000 eyes), publicly available on the Internet, which contains OCT images of healthy retina (5,000 eyes) and retina affected by three different pathologies (choroid neovascularization, macular edema, multiple drusen, 15,000 eyes). …”
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