Mammography-based artificial intelligence for breast cancer detection, diagnosis, and BI-RADS categorization using multi-view and multi-level convolutional neural networks by Hongna Tan, Qingxia Wu, Yaping Wu, Bingjie Zheng, Bo Wang, Yan Chen, Lijuan Du, Jing Zhou, Fangfang Fu, Huihui Guo, Cong Fu, Lun Ma, Pei Dong, Zhong Xue, Dinggang Shen, Meiyun Wang

“…Conclusion AIS can accurately detect and diagnose breast cancer on mammography and further serve as a supportive tool for BI-RADS categorization. Critical relevance statement An AI risk assessment tool employing deep learning algorithms was developed and validated for enhancing breast cancer diagnosis from mammograms, to improve risk stratification accuracy, particularly in patients with dense breasts, and serve as a decision support aid for radiologists. …”
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METHODOLOGICAL PRINCIPLES OF EDUCATIONAL AND PSYCHOLOGICAL CHATBOT DEVELOPMENT by Vitaliy Panok, Anatoliy Shevchenko, Maksym Nazar, Denys Starkov, Dmytro Meshcheriakov, Andriy Shevtsov

“…This opportunity is particularly relevant for Ukraine in the context of full-scale war and post-war recovery. …”
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National standards of pharmaceutical education in the context of reforming legislation of higher education by І. M. Alieksieieva

“…This issue in the Act is reserved Section III: Standards of educational activity and higher education, where the terminological concept and the general algorithm for the formation of the standard of higher education is precisely fixed. …”
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Identification of Dicrocoelium dendriticum isolated from small ruminants of east Azerbaijan province using ITS2 and Nad1 gene markers by Abbas Imani Baran, Salar Alidoost, Ahmad Nematollahi, Masoomeh Firouzamandi, Behzad Ghorbanzadeh

“…The obtained sequences were edited through BioEdit software and aligned with each other using the ClustalW algorithm in MEGA7.0 software. Similarly, all nucleotide sequences were compared with some sequences deposited in the NCBI, based on BLAST function. …”
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“Can computed tomographic angiography” solve the puzzle of complexities in the pediatric complex congenital heart disease’s by Javaid Iqbal, Sheikh Riaz Rasool, Tariq Ahmad Gojwari, Naseer Ahmad Choh, Moonisah Rafiq

“…Hence, it is vital as part of an adequate preoperative assessment algorithm in cases of complex CHD and can’t be replaced by TTE. …”
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Research and application of water drainage borehole design method based on three-dimensional geological model by Zhenrong WANG

“…The mine roadway model is reconstructed through the roadway centerline with three - dimensional coordinates and relevant attributes; the coal seam model is constructed by triangulating point data and boundary data, and is dynamically updated based on the cross - layer point data during borehole construction; the hydrogeological model is constructed by processing spatial data points using the Delaunay triangulation algorithm, similar to the coal seam modeling method, and is also updated according to the control point data collected during borehole construction. …”
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Artificial Intelligence in Pediatric Blood Transfusion during Anesthesia: A Scoping Review by Parisa Akbarpour, Parisa Moradimajd, Azam Saei, Maryam Aligholizadeh, Siavash Sangi

“…Methods: The study, conducted from early 2024 to May 2024, aimed to evaluate the effectiveness of artificial intelligence (AI) and machine learning (ML) in predicting blood transfusion needs and bleeding risks in pediatric anesthesia. Relevant keywords, including artificial intelligence, machine learning, predictive model, neural network, predictive algorithm, blood transfusion, children, pediatric, neonates, anesthesia, surgery, and operation, were extracted from the Medical Subject Headings (MeSH). …”
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Analysis of random factors of the self-education process by A. A. Solodov

“…These numbers are interpreted as a resource (price), which is consumed with the appearance of each event and are mapped to external factors selflearning process.For each private model provided optimal algorithms for estimating the relevant factors according to selected criteria, in the simplest cases, the analytical expressions are indicated. …”
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Longitudinal CE-MRI-based Siamese network with machine learning to predict tumor response in HCC after DEB-TACE by Nan Wei, René Michael Mathy, De-Hua Chang, Philipp Mayer, Jakob Liermann, Christoph Springfeld, Michael T Dill, Thomas Longerich, Georg Lurje, Hans-Ulrich Kauczor, Mark O. Wielpütz, Osman Öcal

“…This study aims to develop and validate a predictive model that integrates deep learning and machine learning algorithms on longitudinal contrast-enhanced MRI (CE-MRI) to predict treatment response in HCC patients undergoing DEB-TACE. …”
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In-Hospital Stroke in a Multidisciplinary Hospital by S. S. Petrikov, G. R. Ramazanov, S. B. Binnatova, M. V. Tikhomirova

“…In this regard, there is a need to study the prevalence, risk factors, clinical features of in-hospital stroke, as well as the development of diagnostic and therapeutic algorithms in order to improve the efficiency of care for patients with in-hospital stroke.…”
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Methods to Quantitatively Evaluate the Effect of Shale Gas Fracturing Stimulation Based on Least Squares by DENG Cai, SUN Kexin, WEN Huan, HU Chaolang

“…Advanced optimization algorithms were employed to efficiently address both the fitting and calculation tasks. …”
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Acoustic-based models to assess herd-level calves' emotional state: A machine learning approach by Maíra Martins da Silva, Robson Mateus Freitas Silveira, Gean Gobo da Cruz, Karen Airosa Machado de Azevedo, Carla Maris Machado Bittar, Iran José Oliveira da Silva

“…These features were used to determine whether vocalization audio data belonged to before or after feeding classes. Moreover, the most relevant ones were identified using the Random Forest algorithm. …”
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Coordinated frequency regulation for thermal power unit and battery energy storage using dynamic proportional control by Gangui Yan, Qianli Sha, Junhui Li, Zheng Fang, Shuaishuai Lv, Shuo Zhan, Lin Yue

“…Hippopotamus optimization algorithm is applied to optimize the relevant parameters of the dynamic proportional control strategy, resulting in a control scheme that maximizes overall benefits. …”
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OntoCommerce: Incorporating Ontology and Sequential Pattern Mining for Personalized E-Commerce Recommendations by Ghulam Mustafa, Naveed Ahmad Jhamat, Zeeshan Arshad, Nadia Yousaf, Md. Nazmul Abdal, Mohammed Maray, Dokhyl Alqahtani, Mohamad Amir Merhabi, Muhammad Abdul Aziz, Touseef Ahmad

“…The enormous number of possible customers and products in a recommendation system leads to sparse data, which makes it harder to generate relevant recommendations and causes the sparsity problem. …”
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Design and operation experiences of a multi-wire detector under high beam power environment by FENG Yongchun, CHEN Yucong, KANG Xincai, LI Weilong, TANG Kai, ZHAO Zulong, ZHAO Tiecheng, XU Zhiguo, MAO Ruishi, XIAO Guoqing

“…Finally, comparative analysis was conducted on the relevant results to find the appropriate beam parameters and detector design.Results & ConclusionsExperimental results show that temperature plays an essential role on wire deformation if none tension mechanism is implemented on wire structure. …”
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STUDY OF THE INFLUENCE OF THE COMPOSITION OF CULTURAL MEDIUM ON THE BASIS OF A WHITE CABBAGE ON DEVELOPMENT OF LEUCONOSTOC MESENTEROIDES AT THE PRE-FERMENTATION STAGE by V. V. Kondratenko, O. Yu. Lyalina, N. E. Posokina, A. Yu. Kolokolova, V. I. Tereshonok

“…In connection with this, an algorithm was developed to determine the optimal duration of pre-fermentation – «stop points». …”
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A systematic review of neural network applications for groundwater level prediction by Samuel K. Afful, Cyril D. Boateng, Emmanuel Ahene, Jeffrey N. A. Aryee, David D. Wemegah, Solomon S. R. Gidigasu, Akyana Britwum, Marian A. Osei, Jesse Gilbert, Haoulata Touré, Vera Mensah

“…In conclusion, a hybrid metaheuristic algorithm produced more efficient results emphasizing their efficacy. …”
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Enhancing Hajj and Umrah Services Through Predictive Social Media Classification by Samia Allaoua Chelloug, Mohammed Saleh Ali Muthanna, Faisal Jamil, Mehdhar S. A. M. Al-Gaashani, Soha Alhelaly, Ahmed Aziz, Ammar Muthanna

“…By incorporating a service-level score algorithm based on the TextBlob NLP library, each post is accurately classified and utilized as a feature in a supervised machine-learning classification system. …”
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Multi-layer feature fusion and attention-enhanced YOLOv9 for rapid field detection of greenhouse blueberry maturity at long and short distances by Ziwei Pan, Lei Xu, Wanjin Zhao, Cong Fan, Xihao Zhang, Weihui Chen, Yonglin Shen, Nengcheng Chen

“…Therefore, this paper presents an improved algorithm, YOLOv9-MSAS, for detecting greenhouse blueberry maturity at long and short distances. …”
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Machine learning–guided single-cell multiomics uncovers GDF15-driven immunosuppressive niches in NSCLC: A translational framework for overcoming anti-PD-1 resistance by Xianfei Zhang, Zhengxin Yin, Xueyu Chen, Nengchong Zhang, Shengjia Yu, Congcong Zhu, Lianggang Zhu, Liulan Shao, Bin Li, Runsen Jin, Hecheng Li

“…External validation using melanoma cohorts (GSE91061) confirmed the pan-cancer predictive relevance of GDF15 and its associated tumor cluster. …”
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