Current Tasks in Identifying Invalid Events in Critical Information Infrastructure by D. A. Evdokimova, A. A. Mikryukov

“…The identification of these events is associated with the complexity of detecting such events, the need to process large volumes of data, insufficient speed in detecting IS events, as well as technological limitations.The relevance of identifying and classifying invalid events in information security, especially for CII, is driven by the need for timely detection and response to incidents that could lead to negative consequences. …”
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Monitoring of the state of electromagnetic fuel injectors of gasoline engines with distributed fuel injection systems by G. N. Votinov, D. V. Maltsev, D. S. Repetsky

“…There is a successful experience of implementing such algorithms on modern cars. The implementation of the research results will allow timely detection of faulty (contaminated) electromagnetic injectors and prevent negative effects on both engine parts and the environment.…”
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Methodological aspects of diagnostics and minimal residual disease monitoring in infant acute leukemias by G. A. Tsaur, A. M. Popov, L. G. Fechina, S. A. Rumyantsev

“…Based on our own experience we made algorithm for detection of MRD in this group of patients. …”
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Dynamique de l'occupation du sol et trajectoire du couvert végétal autour de trois sites miniers du Sud Mali entre 1988 et 2019 by Souleymane Sidi Traore, Sidi Dembele, Djénéba Dembele, Nouhoum Diakite, Cheick Hamalla Diakite

“…A maximum likelihood classification method coupled with a change detection algorithm was to determine the extent and changes of land use and land cover classes. …”
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Dependence of serum procalcitonin level on microflora in the infection site in chronic osteomyelitis by Irina V. Shipitsyna, Elena V. Osipova, Alexander L. Shastov

“…Introduction The study of procalcitonin (PCT) levels simultaneously with blood cultures for sterility is an important addition to the diagnostic algorithm for chronic osteomyelitis detection. Purpose of work is to study the relationship of serum PCT with the microflora isolated from blood, wounds and fistulas in patients with chronic osteomyelitis. …”

Development and evaluation of a triplex real-time PCR assay for enhanced plague diagnostics in Madagascar. by Beza Ramasindrazana, Zoé A Rahalison, Philippe Gauthier, Guillain Mikaty, Zaina I Bodoarison, Lanto A Maminirina, Soloandry Rahajandraibe, Mamy G Randriamanantsoa, Gilbert Kayoko, Jean-Claude Manuguerra, Anne-Sophie Le Guern, Andriamiliharison J Rasamindrakotroka, Minoarisoa Rajerison

“…Following the urban plague outbreak of 2017, a new molecular diagnostic algorithm was developed and introduced into routine use. …”
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UHVDC Transmission Line Fault Identification Method Based on Generalized Regression Neural Network by XIE Jia, LIU Feng, KE Yanguo, YIN Zhen, RUAN Wei, YAO Jinming

“…A protection method for ultra-high voltage direct current transmission lines based on generalized regression neural network (GRNN) is proposed to address the issues of easy rejection and long fault detection time in ultra-high voltage direct current protection. …”
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Encrypted traffic identification scheme based on sliding window and randomness features by LIU Jiachi, KUANG Boyu, SU Mang, XU Yaqian, FU Anmin

“…Additionally, a decision tree model based on the CART algorithm was designed, which significantly improved the accuracy of identifying encrypted and compressed traffic and greatly reduced the false negative rate for encrypted traffic identification. …”
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Classification of Leaf Diseases in Oil Palm Plants with Haar Wavelet Transform Features Based on Machine Learning by Jusman Yessi, Maulana Alfinto, Lubis Julnila Husna

“…These diseases are caused by mushrooms, bacteria, viruses, and pests that can spread rapidly and damage the leaves. Therefore, early detection of oil palm leaf disease plays a crucial role in reducing the negative impact on crops and significant economic losses. …”
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The Utility of Follow-up Transthoracic Echocardiogram to Screen for Severe Portopulmonary Hypertension (POPH) in Patients Granted POPH Model for End-stage Liver Disease (MELD) Exce... by Kathryn T. del Valle, MD, Dana Kay, MD, Michael J. Krowka, MD, James R. Runo, MD, Corey Sadd, MD, Julie K. Heimbach, MD, Rodrigo Cartin-Ceba, MD, Hector R. Cajigas, MD, Charles D. Burger, MD, John E. Moss, MD, Hilary M. DuBrock, MD

“…In external validation of 13 paired echocardiograms and RHCs, our algorithm had 64% specificity and 100% negative predictive value. …”
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The bacteriostatic regulation of luteolin from honeysuckle by protein network interaction by Jianfeng Zhang, Mujun Chen, Dianzeng Yang, Yanjie Jia

“…Finally, the Molecular Complexity Detection (MCODE) algorithm and BinGo plugin were utilized to conduct module analysis and functional annotation of the constructed network, respectively. …”
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Wound imaging software and digital platform to assist review of surgical wounds using patient smartphones: The development and evaluation of artificial intelligence (WISDOM AI stud... by Melissa Rochon, Judith Tanner, James Jurkiewicz, Jacqueline Beckhelling, Akuha Aondoakaa, Keith Wilson, Luxmi Dhoonmoon, Max Underwood, Lara Mason, Roy Harris, Karen Cariaga

“…<h4>Conclusion</h4>The AI algorithm not only met but surpassed the expected sensitivity for identifying priority cases, showing high reliability. …”
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Reactive Power Controller for Under-Excitation Limiter With Regard to Electromechanical Oscillations by Dusan Joksimovic, Djordje Stojic, Slavko Veinovic, Darko Marcetic

“…The proposed algorithm solves this problem by targeting the specific frequency bandwidth of the Var control system that excludes the detected frequency of electromechanical oscillations. …”
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Causes of resistance to PARP inhibitors and ways to overcome it. Case report of aggressive <i>BRCA</i>-related breast cancer by A. I. Stukan, A. Yu. Goryainova, S. V. Sharov, O. A. Goncharova, Z. K. Khachmamuk, V. V. Durov

“…However, in clinical practice, despite the proven antitumor efficacy of drugs, acquired resistance to PARP inhibitors leads to difficulties in selecting further therapy due unknown resistance mechanisms and absence of algorithm of action. Despite the various mechanisms of resistance to PARP inhibitors, the choice of subsequent combination therapy after the detection of resistance to PARP inhibitors should be based on an understanding of these mechanisms and the existence of heterogeneous metastatic process. …”
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Sexual dysfunction in anxiety disorders by M. I. Yagubov, I. Yu. Kan, N. V. Dobaeva, I. R. Ayriyants

“…If sexual disorders are detected in patients with anxiety disorders, taking into account the clinical situation, psychotropic drugs with no or minimal negative effect on sexual function are prescribed, if possible. …”
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The robustness of popular multiclass machine learning models against poisoning attacks: Lessons and insights by Majdi Maabreh, Arwa Maabreh, Basheer Qolomany, Ala Al-Fuqaha

“…The word “robustness” refers to a machine learning algorithm’s ability to cope with hostile situations. …”
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An integrated approach to the diagnosis of bacterial and fungal bloodstream infections in cancer patients by O. Yu. Kutsevalova, Yu. Yu. Kozel, V. V. Dmitrieva, O. V. Kozuk, I. B. Lysenko

“…Patient informed consent for the study wasobtained. The diagnostic algorithm included: a blood test using an automatic BacT /ALERT 3D analyzer and a parallel study of the level of biomarkers with enzyme immunoassay. …”
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Viroscope™: a universal solution for plant virus and viroid diagnostics using HTS and cloud-based analysis by Verónica Morgante, Juan Cristóbal Jiménez, Claudio Ponce, Cristóbal Urrutia, Fernanda Vera, Camila Farías, Rocío Camps de la Maza, Valentina Caro, Marco Muñoz, Bernardo Pollak

“…The results demonstrated the enhanced detection capabilities and biological insights by Viroscope™ algorithm, even in cases of low viral abundance. …”
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Extracting diagnoses and investigation results from unstructured text in electronic health records by semi-supervised machine learning. by Zhuoran Wang, Anoop D Shah, A Rosemary Tate, Spiros Denaxas, John Shawe-Taylor, Harry Hemingway

“…For training the algorithm, we used texts classified as positive and negative according to their associated Read diagnostic codes, rather than by manual annotation. …”
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HyenaCircle: a HyenaDNA-based pretrained large language model for long eccDNA prediction by Fuyu Li, Wenxiang Lu, Yunfei Bai

“…We propose HyenaCircle, a novel deep learning model leveraging large language model and third-generation sequencing data to predict long eccDNA formation.MethodsFull-length eccDNAs within 1–5 kb were identified by FLED algorithm for Nanopore sequencing data, extended by 100-bp flanking sequences, and paired with 20,000 length-matched negative controls from eccDNA-depleted genomic regions. …”
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