An Efficient and Time-Effective Experimental and Numerical Methodology for Mapping Atmospheric Corrosivity and Assessing Corrosion-Related Failures in Power Transmission Lines and... by Camila Marçal Gobi Pacher, Julia Stefany Chagas Albrecht, Mariana D’Orey Gaivão Portella Bragança, Bruno Cougo Kowalczuk, Lucas Lamy, Juliano de Andrade, Kleber Franke Portella, Alexandre Latorre, Fernando Almeida Diniz

“…The results, combined with local meteorological data such as temperature, humidity, and precipitation rates, were used to train, test, and validate a feed-forward neural network model. …”
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An interpretable machine learning model for predicting bone marrow invasion in patients with lymphoma via 18F-FDG PET/CT: a multicenter study by Xinyu Zhu, Denglu Lu, Yang Wu, Yanqi Lu, Liang He, Yanyun Deng, Xingyu Mu, Wei Fu

“…Although bone marrow biopsy (BMB) is the current gold standard, its invasive nature and sampling errors highlight the necessity for noninvasive alternatives. …”
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Development and Validation of a Population Pharmacokinetics Model of Perampanel for Pediatric Epilepsy Patients for Optimized Dosing by Yu L, Mao F, Chen S, Liu J, Xiao J, Chen M, Luo H, Yu Z, Dai H

“…Goodness-of-fit plots and bootstrap analysis were employed to evaluate the final model. …”
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Predictive model of small choroidal melanoma progression after eye-saving treatment based on clinical, morphometric and immunological parameters by E. B. Myakoshina, I. G. Kulikova, N. V. Balatskaya, L. A. Katargina, S. V. Saakyan

“…If P (Z) is under the cutoff value, chorioretinal scar prognosis is predicted, at the higher values, a residual tumor or continued growth is expected. In ROC analysis, the area under the curve with this model was 0.891±0.11, thus providing good predictive quality.Usage of the predictive model is a possible solution for planning and correcting treatment strategy in the patients with small choroidal melanoma, in order to minimize complications and errors, and to ensure control of treatment.…”
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Hypertension and cognitive impairment among older persons in rural Northern Uganda: a cross-sectional study by Joel Oyugi, Jonathan Izudi, Francis Bajunirwe

“…We used the modified Poisson regression with robust standard errors for the analysis, applying a 5% significance level. …”
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Identification of Outer Galaxy Cluster Members Using Gaia DR3 and Multidimensional Simulation by Vishwas Patel, Joseph L. Hora, Matthew L. N. Ashby, Sarita Vig

“…We introduce the Generation Of cLuster anD FIeld STar (GOLDFIST) simulation to enable robust membership determination, performing an unsupervised clustering analysis in higher-dimensional feature space while accommodating measurement errors. …”
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Аssessment of the Effectiveness of Etiotropic Prophylaxis of Tick-Borne Infections: the Systematization of concepts and methodological features by N. A. Penyevskaya, N. V. Rudakov

“…In addition, COEF and IEF do not allow to compare the efficiency of vaccination in different areas in physical and monetary units. Based on the analysis of the literature data on immunogenicity of modern vaccines against TBE, protective titer of antibodies and results of field tests of vaccine efficacy in the conditions of total coverage of the population with vaccinations, the authors conclude that the third generation vaccines against TBE protect against disease 95-98% of persons attacked by ticks. …”
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Land formalization and its efficacy: Experience from Dar es Salaam, Tanzania by C. Lucian, K.T. Semindu

“…Using a case study approach, the research draws on household surveys, official land records, and spatial data to explore three core questions: What types of disputes have emerged? …”
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Compressive strength of nano concrete materials under elevated temperatures using machine learning by Abdullah M. Zeyad, Alaa A. Mahmoud, Alaa A. El-Sayed, Ayman M. Aboraya, Islam N. Fathy, Nikos Zygouris, Panagiotis G. Asteris, Ibrahim Saad Agwa

“…Furthermore, RCS prediction equations with superior accuracy were derived utilizing the meta-heuristic AI models of WCA and GA, with Mean absolute errors (MAEs) of 3.09 kg/cm² and 3.53 kg/cm² for the training, 1.91 kg/cm² and 2.72 kg/cm² for the validation, and 1.91 kg/cm² and 2.72 kg/cm² for the testing data sets, respectively. …”
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Use of AI in Mental Health Care: Community and Mental Health Professionals Survey by Shane Cross, Imogen Bell, Jennifer Nicholas, Lee Valentine, Shaminka Mangelsdorf, Simon Baker, Nick Titov, Mario Alvarez-Jimenez

“…However, they were equally concerned about reducing human connection, ethics, privacy and regulation, medical errors, potential for misuse, and data security. Despite the immense potential, integration into mental health systems must be approached with caution, addressing legal and ethical concerns while developing safeguards to mitigate potential harms. …”
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The Association Between Occupational Smoke Exposures and the Prevalence of Eye and Respiratory Health Conditions Among Commercial Fish Smokers in Abuesi, Ghana: A Cross-Sectional S... by Charity Owusu, Albert Ofori, Frank Adusei-Mensah, Carl Halladay Abraham, Samuel Kyei, Reginald Quansah, David Kofi Essumang

“…Through a comprehensive cross-sectional analysis involving 302 participants, we utilized structured questionnaires and expert eye assessments to gather vital data. …”
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Assessing the effectiveness of LiDAR-based apps on Apple devices to survey indoor and outdoor medium sized areas by D. Treccani, A. Adami, L. Fregonese

“…Therefore, Apple devices with a LiDAR sensor have seen increasing applications for efficient, low-cost spatial analysis and 3D modeling of small objects, rooms, and small areas. …”
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Estimation of Groundwater Recharge from Rainfall for Arid Coastal Plain of Ninh Thuan Province, Vietnam by Nguyen Van Hoang, Trinh Thu, Shakirov Renat, Tran Thi Thuy Huong, Syrbu Nadezhda

“…Element sizes and time steps used in the modelling have been selected based on a detailed analysis of numerical simulation errors. The methodology had been applied to arid coastal plain area of Ninh Thuan province, Vietnam. …”
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DFAST_QC: quality assessment and taxonomic identification tool for prokaryotic Genomes by Mohamed Elmanzalawi, Takatomo Fujisawa, Hiroshi Mori, Yasukazu Nakamura, Yasuhiro Tanizawa

“…Despite advances in genome analysis techniques, challenges persist in ensuring precise and reliable taxonomic assignments. …”
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Assessing user experience with the Bioline™ HCV point-of-care test in primary healthcare settings: a mixed-methods study by Evans Duah, Evans Mantiri Mathebula, Kuhlula Maluleke, Tinyiko Violet Baloyi, Richard Kobina Dadzie Ephraim, Tivani Mashamba-Thompson

“…Methods A convergent parallel mixed-methods design was adopted. Quantitative data was collected through direct observation of Healthcare Workers (HCWs) using audit checklists and analyzed with Stata 16. …”
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Semantic influence of programming on the development of thinking of students: background, research and prospects by M. U. Mukasheva, Y. V. Payevskaya

“…Bespalko).The study used general scientific methods of analysis and synthesis, generalization, abstraction, methods of grouping and classification of data, and statistical methods.Results. …”
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Classification of maize seed hyperspectral images based on variable-depth convolutional kernels by Yating Hu, Hongchen Zhang, Hongchen Zhang, Changming Li, Qianfu Su, Wei Wang

“…The method offers a promising framework for hyperspectral image analysis in seed classification and other agricultural applications.…”
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Deep and Machine Learning for Acute Lymphoblastic Leukemia Diagnosis: A Comprehensive Review by Mohammad Faiz, Bakkanarappa Gari Mounika, Mohd Akbar, Swapnita Srivastava

“…The effectiveness of these models in detecting ALL is evident through their ability to enhance accuracy and minimize human errors, which is essential for early diagnosis and successful treatment. …”
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Integration of PV Systems into the Urban Environment: A Review of Their Effects and Energy Models by André Rodrigues, Armando C. Oliveira, Ana I. Palmero-Marrero

“…However, there is a need to develop new methodologies to overcome the challenges associated with UBEMs, especially those concerning non-geometric data, which lead to a major source of errors, and to find an effective method to predict the effect of PV systems in the urban environment.…”
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Complete blood count in neonatal Intensive care Unit (NICU): Performance comparison between POCT Sight OLO® and Sysmex XN-9100™ hematology analyzers by Francesca Nencini, Alessandro Bonari, Sara Ciullini Mannurita, Alessandra Mongia, Francesca Romano, Maria Garieri, Edda Russo, Silvia Sastrucci, Graziella Marrani, Martina Tonelli, Stefano Salti, Niccola Funel, Amedeo Amedei, Carlo Dani, Alessandra Fanelli

“…The POCT allows having reliable analytical data and faster turning around time, particularly useful in NICU.…”
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