Application of computed tomography and operating microscope in planning and performing of endodontic treatment. Analysis of clinical cases

“…Application of computed tomography and dental microscope Carl Zeiss OPMI pico in endodontics, in addition to generally used methods, allows to perform accurate diagnostics and choose the most suitable method of treatment. …”
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Diabetic Macular Edema in Maintenance Intravitreal Scheduling by Enzo Maria Vingolo, Mattia Calabro, Simona Mascolo, Filippo Miccichè, Lorenzo Casillo, Stefano Lupo, Feliciana Menna

“…<b>Methods:</b> A total of forty patients with type 2 diabetes and center-involving DME, all receiving anti-VEGF maintenance therapy, were prospectively enrolled in a case-control study. …”
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Catastrophism and anxiety are risk factors of chronic pain after total knee arthroplasty: a prospective cohort study by Clara Croppi, Fanny Delaigue, Violaine Guinebertière, Flore Devriese, Pascal Bizot, Jules Descamps, Rémy Nizard, Pierre-Alban Bouché

“…Our study aims to identify psychosocial risk factors of chronic pain after TKA and to identify an optimal threshold for significant scores in the multivariate analysis, using a receiver operating characteristic (ROC) curve. Methods: This was a single-centre prospective study conducted from September 2022 to September 2023, involving 204 patients. …”
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COMPARATIVE ASSESSMENT OF PAIN AND LIFE QUALITY IN THE PATIENTS AFTER OPEN AND VIDEO-ASSISTED LOBECTOMY FOR LUNG CANCER by R. I. Yurin, E. V. Levchenko, V. A. Gluscheko, A. E. Mikhnin, S. M. Ergnyan, L. V. Gorokhov, N. E. Levchenko, N. V. Khandogin

“…The positive correlation was found out between the type of surgery and post-operative pain in abdominal, thoracic and orthopedic surgeries. Materials and methods. Results of a questionnaire survey in 130 patients were analyzed; from 2015 to 2017 all those patients had lobectomies for lung cancer using video-assisted thoracoscopic or open accesses in the Thoracic Department of Petrov National Medical Research Center of Oncology. …”
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Indexação morfossemântica de imagens no contexto da saúde visando à recuperação de informações Morphosemantic indexing of health-related images to improve information retrieval... by Virginia Bentes Pinto

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The Zweymüller primary stem is a reliable, effective, and less invasive implant in revision hip arthroplasty for Paprosky type I and II defects by Antonino G. Battaglia, Rocco D'Apolito, Benjamin T. K. Ding, Stefano Tonolini, Joil Ramazzotti, Luigi Zagra

“…Clinical assessment was performed with Harris Hip Score (HHS) and visual analogue scale (VAS) before surgery and at final follow-up. …”
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Objectively measured activity behaviours using the ActivPAL accelerometer following robotic and manually performed total knee arthroplasty: a feasibility study from a randomized co... by Nick D. Clement, Bola Ajekigbe, Jayasree Ramaskandhan, Steven Galloway, Karen Smith, David J. Weir, David J. Deehan

“…Aims: To assess whether it was feasible to objectively measure activity behaviour between robotic arm-assisted (raTKA) and manually performed (mTKA) total knee arthroplasty using the ActivPAL accelerometer. Methods: A randomized controlled trial was undertaken and a subgroup of 40 patients underwent physical activity assessment. …”
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Digital Folklore in the Age of Pandemic (Based on the Collection of Social Cartoons of the Center for Social and Political History of the State Public Historical Library) / Цифрово... by PUSHKAREVA TATIANA V. / ПУШКАРЕВА Т.В.

“…The conclusion is that quarantines have become a special, artistic method of selfhelp for society in a situation of social extreme. …”
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Enhanced diabetic retinopathy detection using U-shaped network and capsule network-driven deep learning by Govindharaj I, Poongodai A, Gnanajeyaraman Rajaram, Santhakumar D, Ravichandran S, Vijaya Prabhu R, Udayakumar K, Yazhinian S

“…Glaucoma, a severe eye disease leading to irreversible vision loss if untreated, remains a significant challenge in healthcare due to the complexity of its detection. Traditional methods rely on clinical examinations of fundus images, assessing features like optic cup and disc sizes, rim thickness, and other ocular deformities. …”
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Advanced image preprocessing and context-aware spatial decomposition for enhanced breast cancer segmentation by G. Kalpana, N. Deepa, D. Dhinakaran

“…These methods smooth edges, equalize the contrasting picture and inlay contextual details in a way which effectively eliminate the noise and make the images clearer and with fewer distortions. …”
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Differentiation and histological analysis of primary human bronchial epithelial cells cultured on transwell membranes using air-liquid interface culture by Asha Ashraf, Erica D. Bruce

“…This protocol describes a reproducible and optimized workflow for the differentiation and histological analysis of primary normal human bronchial epithelial cells (NHBECs) cultured on Transwell membranes using air-liquid interface (ALI) culture. The method begins with expansion of early-passage NHBECs under submerged conditions, followed by seeding on collagen-coated Transwell inserts. …”
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BioCurve Analyzer: a web-based shiny app for analyzing biological response curves by Zenan Xing, James Eckhardt, Aditya S. Vaidya, Sean R. Cutler

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In Vivo Imaging of Cobalt-Induced Ocular Toxicity in a Mouse Model by Basel Obied, Galit Saar, Stephen Richard, Ygal Rotenstreich, Ifat Sher, Alon Zahavi, Nitza Goldenberg-Cohen

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A two-step machine learning approach for predictive maintenance and anomaly detection in environmental sensor systems by Saiprasad Potharaju, Ravi Kumar Tirandasu, Swapnali N. Tambe, Devyani Bhamare Jadhav, Dudla Anil Kumar, Shanmuk Srinivas Amiripalli

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Bioluminescent imaging of an oomycete pathogen empowers chemical selections and rational fungicide applications by Han Chen, Jiana Mao, Yujie Fang, Waqas Raza, Zhi Li, Chongyuan Zhang, Yingguang Zhu, Yuanchao Wang, Suomeng Dong

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Development of an explainable machine learning model for Alzheimer’s disease prediction using clinical and behavioural features by Rajkumar Govindarajan, K. Thirunadanasikamani, Komal Kumar Napa, S. Sathya, J. Senthil Murugan, K. G. Chandi Priya

“…Key predictive variables such as Mini-Mental State Examination (MMSE), Activities of Daily Living (ADL), cholesterol levels, and functional assessment scores were identified and visualized using SHAP-based insights. A user-friendly, interactive web application was developed using Streamlit, allowing real-time patient data input and transparent model output visualization. …”
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An open-source workflow for identifying hydrodynamic water quality events in rivers by continuous water quality monitoring and time-series data processing using R and US EPA CANARY by L. Cronin, C.M. Taylor, C. Briciu Burghina, F.E. Lucy, F. Regan

“…Improving European surface water quality requires urgent action to address diffuse pollution sources particularly from agriculture, with increased frequency and intensity of hydroclimatic events also a key driver of pollutant export to waters and water quality decline worldwide.However, the need for comprehensive, practical protocols for sensor deployment, sensor maintenance and data management for the adoption of high frequency water quality monitoring has been highlighted, along with the challenges for citizen scientists in analyzing millions of water quality data points and sharing metadata. The practical method presented, with reproducibility built into the workflow, is designed for multiple users and a step-by-step application of the workflow is demonstrated including: • Deployment arrangement for water quality sondes in two temporary monitoring stations with different site characteristics. • Data collection and data validation methods. • Concise, reproducible, open-source workflow detailing the use of R, R markdown and US EPA CANARY software for data import, data cleaning, data visualization, data integrity, along with site-specific CANARY event system configuration for the detection of potential water quality events.Results for two monitoring stations on different rivers show CANARY successfully identified 100 % (n 47) and 97 % (n 39) of the manually identified turbidity events.…”
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GradCAM-PestDetNet: A deep learning-based hybrid model with explainable AI for pest detection and classification by Ramitha Vimala, Saharsh Mehrotra, Satish Kumar, Pooja Kamat, Arunkumar Bongale, Ketan Kotecha

“…Traditional pest detection methods are often slow, less accurate and reliant on expert knowledge. …”
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Automated pipeline for leaf spot severity scoring in peanuts using segmentation neural networks by Joshua Larsen, Jeffrey Dunne, Robert Austin, Cassondra Newman, Michael Kudenov

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Temporal resolution trumps spectral resolution in UAV-based monitoring of cereal senescence dynamics by Flavian Tschurr, Lukas Roth, Nicola Storni, Olivia Zumsteg, Achim Walter, Jonas Anderegg

“…Correlation coefficients of up to 0.8 were observed between multispectral (NDVIred668-index) and visual scoring, respectively 0.9 between RGB (ExGR-index) and visual scoring. …”
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