Use of omic heating technology in the process of processing fruits and vegetables. Overview of the subject field by L. Ch. Burak, A. N. Sapach

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Pathology in a digital realm: food for thought! by Palzum Sherpa

“…Digitalization also creates opportunities for the application of artificial intelligence with the prospect of automating tasks such as counting mitosis, detecting lymph node metastasis, etc. Provided the algorithm and data are standardized, artificial intelligence can improve reproducibility and efficiency.3 The pathologists’ expertise combined with advances in digital pathology, including artificial intelligence can provide the best diagnostic accuracy.4 Major challenges are logistic, technological, and financial issues. …”
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A study on the non-contact measurement of sunflower disk inclination and its application to accurate phenotypic analysis by Qiang Wang, Kaixuan Li, Zihao Gao, Xinyuan Wei, Yaoyu Li, Yangcheng Lv, Wuping Zhang

“…In the measurement experiment, 220 images were used for testing, with manual protractor measurement results as the reference. The algorithm achieved a measurement accuracy of RMSE = 2.93°, MAE = 2.43°, and R2 = 0.94. …”
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Machine learning prediction of early reoperation following lower extremity tumor resection and endoprosthetic reconstruction: A PARITY trial secondary analysis by Nicole J. Newman-Hung, Akash A. Shah, Joseph K. Kendal, Nicholas M. Bernthal, Lauren E. Wessel, on behalf of the PARITY Investigators

“…Given the significant morbidity associated with reoperation in systemically compromised patients, accurate risk stratification is critical to patient counseling and shared decision-making. …”
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Problems of weld overlay of seating surfaces of pipe fitting and solutions by S. S. Poloskov

“…Such a model should virtually reproduce the surfacing process, as well as its thermal cycle followed by calculating the ratio of the structural components of the deposited metal and the substrate metal. The system of equations of the model should be solved by a special computer program. …”
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Estimating the potential risks of developing clusters in medical industry using various ranking criteria by Y. G. Gertsik

“…The risk assessment algorithm for the medical industry companies’ formation and functioning in a cluster structure is given, based on selected indicators of probable risks and levels of the companies’ development or maturity. …”
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The Evolving Role of Copyright Law in the Age of AI-Generated Works by J. Hutson

“…Unlike previous digital tools, which expanded human creativity by improving original works, generative artificial intelligence creates content through complex algorithmic processes, blurring the boundaries of authorship and originality. …”
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Breast cancer detection and classification with digital breast tomosynthesis: a two-stage deep learning approach by Yazeed Alashban

“…PURPOSE: The purpose of this study was to propose a new computer-assisted two-staged diagnosis system that combines a modified deep learning (DL) architecture (VGG19) for the classification of digital breast tomosynthesis (DBT) images with the detection of tumors as benign or cancerous using the You Only Look Once version 5 (YOLOv5) model combined with the convolutional block attention module (CBAM) (known as YOLOv5-CBAM). …”
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Stiffness Regulation of Cable-Driven Redundant Manipulators Through Combined Optimization of Configuration and Cable Tension by Zhuo Liang, Pengkun Quan, Shichun Di

“…First, stiffness regulation methods that involve physical structural modifications increase system complexity and reduce flexibility. Second, methods that rely solely on cable tension are constrained by the inherent stiffness of the cables, limiting the achievable regulation range. …”
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Immunogenetic characteristics of potential donors of hemapoietic stem cells recruited in the North Caucasus by M. A. Loginova, D. N. Smirnova, S. S. Kutyavina, O. A. Makhova, K. P. Kashin, I. V. Paramonov

“…Mass parallel sequencing was performed using the MiSeq™ System («Illumina Inc.», USA). HLA allele and haplotype frequencies were estimated via maximum-likelihood analysis from genotypic data through an expectationmaximization (EM) algorithm for unknown gametic phase using Arlequin v. 3.5.2.2. …”
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Herbify: an ensemble deep learning framework integrating convolutional neural networks and vision transformers for precise herb identification by Farhan Sheth, Ishika Chatter, Manvendra Jasra, Gireesh Kumar, Richa Sharma

“…By directly tackling the principal obstacles in herb identification, the proposed system achieves a highly accurate and operationally viable classification mechanism. …”
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GEOECOLOGICAL DIAGNOSTICS OF THE REGIONS IN THE CENTRALBLACK SOIL REGION by S. A. Kurolap, N. V. Yakovenko, V. I. Fedotov, V. B. Mikhno, L. N. Kostyleva

“…The authors propose an algorithm to perform geoecological diagnostics of the large region. …”
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Consistency and reliability of ultrasound-derived fat fraction in hepatic steatosis assessment: influence of posture and breathing variations by Tingjing You, Shengmin Zhang, Shuai Cheng, Zhenyu Shen

“…Methods A retrospective analysis was performed using the system with the UDFF algorithm. Two operators performed UDFF measurements in six different scenarios, each consisting of three measurements (18 in total). …”
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Numerical Modeling Tools and S-derivatives by Anatoly Nikolaevich Morozov

“…The constructions are algorithmic in nature and can be applied in numerically computer research of various relevant models.…”
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The Application of Artificial Digital Models in X-Ray Computed Tomography (CT) of the Core in Solving the Problem of Binarization of the Void Space of Reservoir Rocks by O. A. Melkishev, Y. V. Savitsky, S. V. Galkin

“…In these samples, a significant portion of pores have dimensions smaller than the resolution capabilities of most X-ray tomographic systems, making it impossible to accurately determine the boundary between the pore and skeleton structures in tomograms, nor visualize the entire pore volume.To verify this hypothesis, tomograms from real oil and gas samples were analyzed. …”
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A large-scale estimation method for beach slopes using ICESat-2 altimeter: A case study of New Zealand by Nan Xu, Hao Xu, Wenyu Li, Hui Lu, Yongze Song, Jiaqi Yao, Yue Ma, He Ren, Tingting He, Fan Mo, Peng Gong

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Incidence, Disease Spectrum, and Outcomes of Tuberculous Meningitis in South African Children: The Initial Impact of COVID-19 by Victoria E. Namukuta, Mariette Smith, Danite Bester, Magriet van Niekerk, Regan Solomons, Ronald van Toorn, Hendrik Simon Schaaf, James A. Seddon, Helena Rabie, Mary-Ann Davies, Anneke C. Hesseling, Karen du Preez

“…An innovative surveillance algorithm was used to identify all possible TBM episodes using integrated electronic health data. …”
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Predicting biogas production in real scale anaerobic digester under dynamic conditions with machine learning approach by M. Erdem Isenkul, Sevgi Güneş-Durak, Yasemin Poyraz Kocak, İnci Pir, Mertol Tüfekci, Güler Türkoğlu Demirkol, Selçuk Sevgen, Aslı Seyhan Çığgın, Neşe Tüfekci

“…This study aimed to investigate the predictability of changes in biogas production using the SVR algorithm with an RBF kernel in a full-scale anaerobic digester treating wastewater from a fruit processing plant. …”
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Optimization of agricultural planting structure in major grain-producing areas based on supply and demand and water resources: A case study of Hebei Province by Wenxue Xia, Jiankang Dong, Bing Zhang, Jingyan Han

“…The misalignment between the water-soil-grain supply and demand system presents a major challenge to the sustainable development of China’s agriculture, and optimizing crop planting structures plays a key role in it. …”
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Quantitative inversion of suspended particulate matter in Ebinur lake, an arid region: Evidence based on radiative transfer mechanism model by Ziheng Feng, Fei Zhang, Xiaolan Cai, Changjiang Liu, Di Wu, Zhenzhou Zhu, Zia Ahmed, Shuai Yuan, Xu Ma, Lifei Wei, Xin He

“…Study region: Situated in the arid region of northwestern China, Ebinur Lake exemplifies a highly turbid inland water system. Changes in the distribution and intensity of suspended particulate matter (SPM) over space and time provide critical insights into the area's ecological dynamics and hydrological functions. …”
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