Artificial intelligence in breast oncology by Alexander Mundinger

“…AI self-correcting algorithms and the alignment of AI constructed goals with human ethics are imperative to prevent patient harm. …”
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A Review of Personalised Cardiac Computational Modelling Using Electroanatomical Mapping Data by Ovais A Jaffery, Lea Melki, Gregory Slabaugh, Wilson W Good, Caroline H Roney

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Identification of therapeutic targets for Alzheimer’s Disease Treatment using bioinformatics and machine learning by ZhanQiang Xie, YongLi Situ, Li Deng, Meng Liang, Hang Ding, Zhen Guo, QinYing Xu, Zhu Liang, Zheng Shao

“…Abstract Alzheimer’s disease (AD) is a complex neurodegenerative disorder that currently lacks effective treatment options. This study aimed to identify potential therapeutic targets for the treatment of AD using comprehensive bioinformatics methods and machine learning algorithms. …”
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RockCloud-Align: A High-Precision Benchmark for Rock-Mass Point-Cloud Registration by Yunbiao Wang, Dongbo Yu, Lupeng Liu, Jun Xiao

“…Rock-mass point-cloud registration is a critical yet challenging task in the fields of geology and engineering. Currently, the lack of dedicated datasets for rock-mass point-cloud registration significantly limits the development and application of advanced algorithms in this area. …”
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Modern conceptions of serological tumor markers and their role in oncology by N. S. Sergeeva, N. V. Marshutina, M. P. Solokhina, I. I. Alentov, N. K. Parilova, E. V. Zenkina, T. E. Skashchkova

“…Biochemical characteristics and functions of most informative tumor markers (CA125, PSA etc.) were described. Currently diagnostic indexes, obtained by the in vitro diagnostic multivariate index assay (IVDMIA), and algorithms using several serological markers begin to apply in laboratory practice to increase diagnostic accuracy. …”
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Prospects of phytopreparations based on Calendula officinalis in complex treatment of chemical burn of the esophagus by M. L. Voskresenskaya, A. N. Plekhanov, B. D. Dorzhiev, S. V. Tsyrempilov

“…Currently worldwide chemical burns of the esophagus rank first among all diseases of the esophagus in children and second in adults. …”
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Artificial intelligence: Applications in cardio-oncology and potential impact on racial disparities by Gift Echefu, Rushabh Shah, Zanele Sanchez, John Rickards, Sherry-Ann Brown

“…Artificial intelligence (AI) holds multifaceted potential to enhance cardio-oncologic outcomes. AI algorithms are currently utilizing clinical data input to identify patients at risk for cardiac complications. …”
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Canadian Public Health Laboratory Network laboratory Guidelines for the Diagnosis of Neurosyphilis in Canada by Tom Wong, Kevin Fonseca, Max A Chernesky, Richard Garceau, Paul N Levett, Bouchra Serhir

“…This chapter reviews guidelines for specimen types and sample collection, and identifies two possible algorithms for use with immunocompromised and immunocompetent hosts using currently available tests in Canada, along with a review of treatment response and laboratory testing follow-up.…”
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ASSESSMENT OF LOSSES OF THE ELECTRIC POWER IN THE CONDITIONS OF UNCERTAINTY AS A PART OF ACSKAE by T. T. Omorov, R. N. Kurmanalieva, R. C. Osmonova

“…It is supposed that such perturbing factors as asymmetry of currents and tension, unauthorized selections of the electric power in the networks and parametric uncertainties caused by accidental variations of resistance of interpersonal sections of trunk lines because of changes of climatic conditions act on DEN. …”
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Use of Standard Meteorological Messages to Simulate the Flight of 35 mm TP-T Projectile Under Actual Conditions by Leszek BARANOWSKI, Zbigniew LECIEJEWSKI

“…Three standard meteorological messages are considered: message METB3 compliant with STANAG 4061, message METCM compliant with STANAG 4082, and message METEO11, so called meteoaverage, currently used in the Polish Armed Forces. The purpose of verifying the correctness of the prepared algorithms of using meteorological messages, a computer program simulating the flight of the 35 mm TP-T anti-aircraft projectiles under actual atmospheric conditions was developed, and appropriate calculations were performed.…”
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Quantum solution for secure information transmission of wearable devices by Xiaojun Wen, Genping Wang, Yongzhi Chen, Zhengzhong Yi, Zoe L Jiang, Junbin Fang

“…Currently, wearable devices are developing prosperously in the fields of global communication electronic products and personal intelligent terminals, but their information security problem cannot be ignored. …”
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Dysphagia after stroke by D. O. Gromova, V. V. Zakharov

“…The paper gives international algorithms for the clinical and instrumental evaluation of swallowing function and the diagnosis of aspiration. …”
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Convolutional neural network model over encrypted data based on functional encryption by Chen WANG, Jiarun LI, Jian XU

“…Currently, homomorphic encryption, secure multi-party computation, and other encryption schemes are used to protect the privacy of sensitive data in outsourced convolutional neural network (CNN) models.However, the computational and communication overhead caused by the above schemes would reduce system efficiency.Based on the low cost of functional encryption, a new convolutional neural network model over encrypted data was constructed using functional encryption.Firstly, two algorithms based on functional encryption were designed, including inner product functional encryption and basic operation functional encryption algorithms to implement basic operations such as inner product, multiplication, and subtraction over encrypted data, reducing computational and communication costs.Secondly, a secure convolutional computation protocol and a secure loss optimization protocol were designed for each of these basic operations, which achieved ciphertext forward propagation in the convolutional layer and ciphertext backward propagation in the output layer.Finally, a secure training and classification method for the model was provided by the above secure protocols in a module-composable way, which could simultaneously protect the confidentiality of user data as well as data labels.Theoretical analysis and experimental results indicate that the proposed model can achieve CNN training and classification over encrypted data while ensuring accuracy and security.…”
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ADAPTIVE MATHEMATICAL MODEL OF THERMAL PROCESSES IN A COSINE POWER CAPACITOR by D. I. Zalizny, O. G. Shirokov, G. O. Shirokov, A. A. Kapanskiy

“…The technique includes algorithms and an apparatus component in a form of a digital device, and it is based on continuous measuring of a capacitor body surface temperature, ambient temperature, voltages and currents from the power source. …”
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3D object tracker for sports events by M. A. Volkova, M. P. Romanov, A. M. Bychkov

“…Objectives. Sports events are currently among the most promising areas for the application of tracking systems. …”
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Rekayasa Perangkat Lunak Aplikasi Presensi Mobile Menggunakan Metode Deep Learning by Ragil Setiawan, Nurcahya Pradana Taufik Prakisya, Rosihan Ariyuana

“…Seeing the ongoing development of facial pattern recognition algorithms such as Viola Jones, Backpropagation, this research uses the MobileFaceNet  mobile CNN model which is currently popular to be implemented in the mobile-based facial recognition presence application at the Information and Computer Engineering Education (PTIK) FKIP UNS. …”
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DATA SCIENCE, CANCER AND SEQUENCING ANALYSES by Mehmet Baysan

“…Unfortunately, all the frequently used analysis algorithms are based on optimistic assumptions. High level of disparity is observed in literature and in our studies when we compare different algorithms. …”
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Identification of diabetic retinopathy lesions in fundus images by integrating CNN and vision mamba models. by Zenglei Liu, Ailian Gao, Hui Sheng, Xueling Wang

“…An evaluation of the suggested method was carried out by comparison experiments between state-of-the-art algorithms and the proposed methodology. Empirical findings demonstrate that the suggested methodology surpasses the most advanced algorithms on the datasets that are accessible openly. …”
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Steganoanalytical Method Based on the Analysis of Singular Values of Digital Image Matrix Blocks by Kobozeva A.A., Bobok I.I., Batiene L.Е.

“…The rapid development of digital steganography over the past decade involving numerous scien-tific publications in the open press, devoted to the new steganomethods and algorithms, have led to the possibility of wide use of the results obtained. …”
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Improving the measurement standard for the metrological support of the porometry of solid substances and materials by E. P. Sobina

“…The reliability of the developed algorithms is confirmed by: the results of participation in 4 international comparisons, the measurements of foreign-made reference materials, along with the results of participation in 6 rounds of interlaboratory comparisons. …”
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