CONCEPTUAL BASES OF THE ENERGY EFFICIENT SYSTEM OF MANAGEMENT OF COMBINED UNITS OF WASTEWATER TREATMENT by V. N. Shtepa

“…The key functional of the unit – information-analytical subsystem of the formation control actions including: multilayer perceptrons self-organization Kohonen network, fuzzy cognitive map. The basic difference between the developed design and its analogues is the ability to adjust the settings of equipment adaptively on the basis of processing sensor data, information on the price of consumables, volley discharges of pollutants, a sudden change in the flow and other force majeure. …”
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Characterization of Sus scrofa small non-coding RNAs present in both female and male gonads. by Dorota Kowalczykiewicz, Aleksandra Świercz, Luiza Handschuh, Katarzyna Leśniak, Marek Figlerowicz, Jan Wrzesinski

“…In addition, the most abundant miRNAs present in the ovaries and testes are conserved and are involved in many biological processes such as the regulation of homeobox genes, the control of cell proliferation, and carcinogenesis. …”
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AHN-YOLO: A Lightweight Tomato Detection Method for Dense Small-Sized Features Based on YOLO Architecture by Wenhui Zhang, Feng Jiang

“…Convolutional neural networks (CNNs) are increasingly applied in crop disease identification, yet most existing techniques are optimized solely for laboratory environments. …”
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Classification, identification, and quantitative study of defects in aluminum plates using pulsed alternating current field measurement combined with principal component analysis by Qingxiao Kong, Shuwei Pan, Lilong Lin, Xinfeng Li

“…Subsequently, PCA was implemented to decompose the multidimensional PACFM datasets into principal components, with each component preserving the most diagnostically significant information. In this analytical framework, the classification of defects was determined by the sign of the mapped value w2 in the PCA eigenvector direction, while the magnitude of w2 exhibited a correlation with subsurface defect burial depths.ResultsThe integrated PACFM-PCA approach successfully discriminated between surface and subsurface defects. …”
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Research on machine learning methods for detecting objects in difficult shooting conditions by Vitalii Serdechnyi, Olesia Barkovska, Andriy Kovalenko, Anton Havrashenko, Vitalii Martovytskyi

“…The goal of this research is to identify the most effective deep learning models based on convolutional neural networks for object detection tasks under challenging imaging conditions, considering the practical requirements for accuracy and processing speed. …”
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Building Diagnostics Options for Existing Buildings – Innovative Methods by Zsolt Szurös, Rita Rebeka Ordog, Kitti Ajtayné Károlyfi, Dóra Szalai, Ádám Bukovics

“…Thanks to the continuous development of tools, technologies and methodologies, the accurate and detailed digital mapping of buildings (including all their aspects) is available. …”
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Advancing Small Bowel Imaging: Dual-Camera Capsule Endoscopy in Real-World Bleeding Evaluation by Dong Hyun Kim

“…Conclusions : Automated whole-liver fat quantification might be feasible for clinical trials and practice, yielding values with high correlations and concordance with the time-consuming manual measurements from the PDFF map and the values from the highly complex processing of MRS (ClinicalTrials.gov identifier: NCT04463667).…”
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Radiologic and Pathologic Discordance in Hepatocellular Carcinoma: More Than a Mismatch, with Prognostic Significance by Ijin Joo

“…Conclusions : Automated whole-liver fat quantification might be feasible for clinical trials and practice, yielding values with high correlations and concordance with the time-consuming manual measurements from the PDFF map and the values from the highly complex processing of MRS (ClinicalTrials.gov identifier: NCT04463667).…”
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Use of Digital Health Technologies for Dementia Care: Bibliometric Analysis and Report by Hebatullah Abdulazeem, Israel Júnior Borges do Nascimento, Ishanka Weerasekara, Amin Sharifan, Victor Grandi Bianco, Ciara Cunningham, Indunil Kularathne, Genevieve Deeken, Jerome de Barros, Brijesh Sathian, Lasse Østengaard, Frederique Lamontagne-Godwin, Joost van Hoof, Ledia Lazeri, Cassie Redlich, Hannah R Marston, Ryan Alistair Dos Santos, Natasha Azzopardi-Muscat, Yongjie Yon, David Novillo-Ortiz

“…Two independent reviewers conducted a 2-stage screening process with disagreements resolved by a third reviewer. …”
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Application of machine learning in early childhood development research: a scoping review by Akbar K Waljee, Amina Abubakar, Patrick N Mwangala, Faith Neema Benson, Daisy Chelangat, Willie Brink, Cheryl A Moyer

“…Supervised ML classifiers (40.7%) and DL techniques (22.2%) were the most used approaches. Cognitive development was the most frequently targeted outcome (33.3%), often measured using the Bayley Scales of Infant and Toddler Development-III (33.3%). …”
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DEEP CRUSTAL STRUCTURE AND MODEL OF NEORCHAEAN EVOLUTION OF THE NORTH AMERICAN CRATON by M. V. Mints, T. B. Afonina

“…A number of the main features of the structure and evolution of the Archaean crust of the North American Craton, primarily the oval‐ concentric zoning, the important role of high‐temperature magmatic and metamorphic processes and mainly in‐ tracontinental magmatism and sedimentation, indicates the leading role of the mantle‐plume type processes. …”
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Cost of physiotherapy non-attendance at a metropolitan hospital in Australia: A time-driven activity-based costing study by Hannah E Carter, Sanjeewa Kularatna, Steven M McPhail, Sundresan Naicker, Shayma Mohammed Selim, Samantha Borg, Codie Armstrong, Melanie Walkenhorst, Brittney Kunst

“…Interviews and iterative discussions were conducted with 15 administrative and clinical staff to establish process maps and key parameters.Primary and secondary outcome measures The primary outcome was health service labour cost associated with clinic non-attendance. …”
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GeaGrow: a mobile tool for soil nutrient prediction and fertilizer optimization using artificial neural networks by Olusegun Folorunso, Oluwafolake Ojo, Mutiu Busari, Muftau Adebayo, Joshua Adejumobi, Daniel Folorunso, Femi Ayo, Orobosade Alabi, Olusola Olabanjo

“…Traditional soil nutrient analysis requires field sample collection and laboratory analysis; a tedious and time-consuming process. Digital Soil Mapping (DSM) leverages Machine Learning (ML) to create detailed soil maps, helping mitigate nutrient depletion. …”
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Factors and prerequisites for the formation of transboundary specially protected natural areas in the Russian‐Kazakhstan region by A. A. Chibilev, N. Yu. Svyatokha, D. A. Grudinin

“…The authors have established and mapped border protected natural areas of federal/republican significance in the Russian‐Kazakhstan region. …”
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Anterolateral rotatory instability of the elbow: a possible etiology of primary osteoarthritis by Young-Bok Kim, James S Fitzsimmons, Enrico Bellato, Shawn W O’Driscoll, Hyo Seok Jang, Dae-Wook Kim

“…The extent and location of the lesions were mapped by image processing of photographs of the humeral and radial articular surfaces, and the degeneration of the articular surface was graded. …”
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Experimental and theoretical investigation of the influence of tool paths and burnishing parameters on the quality of the burnished surface by magnetic assisted ball burnishing by Zsolt Kovács, Gábor Kónya, Balázs Markó, György Póka

“…Trochoidal and elliptically modified trochoidal toolpaths were analysed as well as the distance between the loops, overlap, burnishing feed and spindle speed. The most important surface features were measured and compared, primarily the surface roughness with Ra and Rz as well as the Rsk and Rku parameters, from which the tribological map can be constructed. …”
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A TEI-based Approach to Standardising Spoken Language Transcription by Thomas Schmidt

“…It is argued that this two step process can, on the one hand, map idiosyncratic differences in tool formats and transcription conventions onto a unified representation. …”
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Airport Clearance Detection Based on Vision Transformer and Multi-Scale Feature Fusion by Yutong Chen, Yufen Liu, Zhixiong Guo, Qiang Gao

“…Finally, improve the loss function to enhance the ability of bounding box regression processing. The experimental results show that the model achieves high detection accuracy which has reached mAP@0.5 at 93.7%, an improvement of 5.4% compared to YOLOv8n.…”
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Genetic, developmental, and neural changes underlying the evolution of butterfly mate preference. by Nicholas W VanKuren, Nathan P Buerkle, Wei Lu, Erica L Westerman, Alexandria K Im, Darli Massardo, Laura Southcott, Stephanie E Palmer, Marcus R Kronforst

“…We first found that the GWA variants most strongly associated with male mate choice were tightly linked to the gene controlling wing color in the K locus, consistent with previous mapping efforts. …”
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Developmental experience of the geoinformation system for floodplain lands of the Don basin by D. A. Solodovnikov, S. S. Shinkarenko, N. M. Khavanskaya, N. A. Kukushkina

“…However, until the present there has been no single database that would allow us to analyse the most important characteristics of floodplain landscapes.Material and Methods. …”
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