Russian Cross-disciplinary Consensus on the diagnosis and treatment of spondyloarthritis associated with inflammatory bowel diseases by Galina V. Lukina, Oleg V. Knyazev, Elena A. Belousova, Diana I. Abdulganieva, Elena N. Aleksandrova, Igor G. Bakulin, Olga I. Barysheva, Maria А. Borisova, Bella А. Vykova, Alla А. Godzenko, Irina V. Gubonina, Tatiana V. Dubinina, Tatiana N. Zhigalova, Evgeny V. Zhilyaev, Anna V. Kagramanova, Tatiana V. Korotaeva, Alexander V. Kuzin, Maria A. Livzan, Aleksander M. Lila, Vadim I. Mazurov, Evgeny L. Nasonov, Alexander A. Novikov, Marina F. Osipenko, Asfold I. Parfenov, Larisa V. Tarasova, Olga V. Khlynova, Marina V. Shapina, Oksana B. Shchukina, Shandor F. Erdes, Aleksei A. Iakovlev

“…Eleven statements are devoted to current methods of treatment, on the basis of which 2 treatment algorithms have been developed. …”
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Cranioplasty: Materials and Methods Review by A. V. Yarikov, A. P. Fraerman, V. A. Leonov, O. A. Perlmutter, S. E. Tikhomirov, A. V. Yaksargin, P. V. Smirnov

“…Reconstruction of skull defects is considered an important neurosurgical stage of craniocerebral injury victims’ recovery. Currently, there are no clear established algorithms or timing for cranioplasty. …”
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A Comprehensive Survey on Deep Learning in Abdominal Imaging: Datasets, Techniques, and Performance Metrics by Mariem Bellal, Sanaa El Fkihi, Korhan Cengiz, Nikola Ivkovic

“…Furthermore, the paper highlights emerging trends in DL, such as integrating multimodal data and exploring unsupervised and semi-supervised learning techniques, which promise to address current limitations and pave the way for future advancements. …”
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Dynamics of striatal action selection and reinforcement learning by Jack W Lindsey, Jeffrey Markowitz, Winthrop F Gillis, Sandeep R Datta, Ashok Litwin-Kumar

“…In our model, learning and action selection signals can be multiplexed without interference, enabling learning algorithms beyond those of standard temporal difference models.…”
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Towards a greener future: The role of sustainable methodologies in metabolomics research by Chiara Spaggiari, Kgalaletso Othibeng, Fidele Tugizimana, Gabriele Rocchetti, Laura Righetti

“…Computational advancements, including AI-driven models, machine learning-based semi-quantification, and predictive algorithms for solvent selection, further enhance sustainability by reducing resource consumption. …”
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Modern methods of intraoperative fluorescent imaging of the parathyroid glands in endocrine surgery: a literary review by S. V. Zinchenko, N. A. Shanazarov, N. F. Muratov, S. D. Kisikova, K. S. Seitbekova, I. Z. Galiev, M. I. Ibragim, R. R. Ahmetshin

“…In this regard, there is a need to improve diagnostic search algorithms, including intraoperative ones, for altered parathyroid glands. …”
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Malignant Transformation of Renal Cyst with Bosniak I Features by Sandra Ćulap, Filip Brkić, Andro Matković, Jelena Svetec, Nikolina Jurjević, Katarina Horvat Pavlov, Vinko Vidjak, Thomas Ferenc

“…Although simple renal cysts rarely become malignant, scientific discussion about potential algorithms for additional surveillance is needed.…”
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The Transition To Artificial Intelligence -Based Solutions For Improving Energy Efficiency In Urban Environments by Ikram MENAI, Hana SALAH SALAH, Sara KHELIL, Amina AIDAOUI, Fatima Zahra DJOUAD

“…It addresses issues such as data privacy, algorithmic biases and the need for transparent decision-making processes. …”
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A Review of Stall Detection in Subsonic Axial Compressors by Kellie N. Wilson, Golam Gause Jaman, Anish Thapa, Amirthavarshini Vivekananda, Mitchell Lowe, Zachary Grima, Marco P. Schoen

“…As such, development of algorithms along with active control could lower cost, reduce emissions, improve safety, and increase market competitiveness. …”
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Marine data assimilation in the UK: the past, the present, and the vision for the future by J. Skákala, J. Skákala, D. Ford, K. Haines, K. Haines, A. Lawless, A. Lawless, M. J. Martin, P. Browne, M. Chrust, S. Ciavatta, A. Fowler, A. Fowler, D. Lea, M. Palmer, A. Rochner, A. Rochner, J. Waters, H. Zuo, D. S. Banerjee, D. S. Banerjee, M. Bell, D. M. Carneiro, Y. Chen, Y. Chen, S. Kay, S. Kay, D. Partridge, D. Partridge, M. Price, R. Renshaw, G. Shapiro, J. While

“…We focus on identifying the MDA stakeholder community and current/future areas of impact, as well as current trends and future opportunities. …”
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ImageDoubler: image-based doublet identification in single-cell sequencing by Kaiwen Deng, Xinya Xu, Manqi Zhou, Hongyang Li, Evan T. Keller, Gregory Shelley, Annie Lu, Lana Garmire, Yuanfang Guan

“…This advancement highlights the potential of using imaging to glean insight into developing doublet detection algorithms and exposes the limitations inherent in current genomic-based techniques.…”
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Machine learning for predicting resistance spot weld quality in automotive manufacturing by Nuttapong Chuenmee, Nattachai Phothi, Kontorn Chamniprasart, Sorada Khaengkarn, Jiraphon Srisertpol

“…Despite its advantages, accurately evaluating RSW remains challenging, resulting in additional costs and production steps. Current inspection methods, reliant on random checks after cars leave the Body-in-White (BIW), often lead to significant time losses, emphasizing the necessity for enhanced quality assessment. …”
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Low-Cost Experimental Methodology for the Dynamic Model Approximation of Multirotor Actuators by Walter A. Mayorga-Macías, Luis E. González-Jiménez, Marco A. Meza-Aguilar, Luis F. Luque-Vega

“…Moreover, as the proposed signal processing algorithms are simple, the computational capabilities of the required embedded system are also low. …”
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Method of terminal control in ascent segment of unmanned aerial vehicle with ballistic phase by N. Y. Polovinchuk, S. V. Ivanov, M. Y. Zhukova, D. G. Belonozhko

“…A new algorithmic method for the synthesis of terminal motion control is developed. …”
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PHYSICAL METHODS OF REHABILITATION IN CANCER PATIENTS AFTER COMBINED MODALITY TREATMENT FOR BREAST CANCER by V. E. Tishakova, E. V. Filonenko, V. I. Chissov, N. A. Efimenko, A. N. Urlova

“…Despite the success in current methods of treatment post-operative period in major of patients is characterized by post-mastectomy syndrome which leads to impairment in daily activities, difficulties in social adaptation and consequently to dicrease of the quality of life. …”
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Psitrum: An open source simulator for universal quantum computers by Mohammed Alghadeer, Eid Aldawsari, Raja Selvarajan, Khaled Alutaibi, Sabre Kais, Fahhad H. Alharbi

“…Simulators of universal quantum computer are important for understanding the basic principles and operations of the current noisy intermediate‐scale quantum processors, and for building in future fault‐tolerant quantum computers. …”
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Research progress in predicting the conversion from mild cognitive impairment to Alzheimer’s disease via multimodal MRI and artificial intelligence by Min Ai, Yu Liu, Dan Liu, Chengxi Yan, Xia Wang, Xun Chen

“…Therefore, this paper systematically reviews the research progress of multimodal MRI techniques in capturing brain changes related to MCI conversion, as well as the practical experience of AI algorithms in constructing efficient prediction models, analyses the current technical challenges faced by the research, and discusses future directions, with the goal of providing a scientific reference for the early and accurate prediction of MCI conversion and the formulation of intervention strategies.…”
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Advances in methods for evaluating anti-wrinkle efficacy in the periocular and perioral areas by TAN Huiling, LV Hua, WEN Si, YE Li, LIU Zhenfeng

“…The paper also highlights the limitations of the current research, including the lack of standardization of subjective evaluation, the lack of uniform standards for dynamic wrinkle assessment, and the absence of a population-specific evaluation system for Chinese individuals. …”
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Community Vitality in Dynamic Temporal Networks by Fu Cai, Li Min, Zou Deqing, Qu Shuyan, Han Lansheng, James J. Park

“…Current researches on temporal networks mainly tend to detect community structure. …”
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AI and IoT-Enabled Smart Urban Waste Management System for Efficient Collection, Segregation, and Disposal by Devi Anusuya, Singh Navdeep, Thandra Nagarjuna, Gupta Navya, Salman Zahraa N., Natarajan Karuppiah

“…This ‘Smart Urban Waste Management System’ outlines an innovative architecture for the current challenges in urban waste management through the application of IoT, AI and Blockchain technologies to increase the efficiency, transparency, and sustainability. …”
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