Editorial by Christian Gütl

“…This enables us to continue our work to maintain J.UCS as a diamond open access journal and to further improve the service and scientific quality.Also, I would like to thank all the authors for their sound research and the editorial board for their extremely valuable review effort and suggestions for improvement. …”
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Testicular appendix (hydatid of Morgagni) torsion in adult urological management: evaluation of treatment outcomes by I. S. Shormanov, D. N. Shedrov, D. Y. Garova, A. I. Ryzhkov

“…Accordingly, there are no clear algorithms for the management of such patients.Objective. …”
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SECONDGRAM: Self-conditioned diffusion with gradient manipulation for longitudinal MRI imputation by Brandon Theodorou, Anant Dadu, Mike Nalls, Faraz Faghri, Jimeng Sun

“…We evaluate SECONDGRAM on the UK Biobank dataset and show that it not only models MRI patterns better than existing baselines but also enhances training datasets to achieve better downstream results over naive approaches. …”
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Competence model scheming of the graduate as an assessment tool for the quality of education by E. N. Shaforostova, A. A. Valova

“…The main task of adaptive testing is not just to assess a student knowledge, but also to determine the level of his training, which is possible only in the selection of individual questions, revealing the level of the training. …”
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Machine learning in lymphocyte and immune biomarker analysis for childhood thyroid diseases in China by Ruizhe Yang, Wei Li, Qing Niu, WenTao Yang, Wei Gu, Xu Wang

“…Additionally, nine machine learning (ML) algorithms were utilized to construct prediction models. …”
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Teens and opioids postsurgery (TOPS): protocol for a prospective observational study describing associations between sleep deficiency and opioid use following outpatient surgery in... by Tonya Palermo, Jennifer A Rabbitts, Cornelius B Groenewald, Rebecca L Flack, Sophia L Kreider

“…Before surgery, participants will undergo comprehensive multimodal sleep assessments (sleep surveys and actigraphy). Participants will also report on previous substance use, pain intensity and psychosocial, family and social factors. …”
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Harnessing artificial intelligence to revolutionize vocational education: Emerging trends, challenges, and contributions to SDGs 2030 by Febri Prasetya, Aprilla Fortuna, Agariadne Dwinggo Samala, Dinda Khaira Latifa, Welli Andriani, Utari Akhir Gusti, Muhammad Raihan, Santiago Criollo-C, Deniz Kaya, Juan Luis Cabanillas García

“…Ethical issues, such as privacy and algorithmic bias, are also highlighted as key concerns. …”
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CLINICAL SIGNIFICANCE OF CYTOMEGALOVIRUS INFECTION IN PEDIATRIC LIVER TRANSPLANT RECIPIENTS by O. M. Tsiroulnikova, I. V. Zhilkin, D. G. Akhaladze

“…The latest data on current prevention strategies in pediatric liver transplantation centers in the world are also presented.…”
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A Brief Review of Neural Networks Based Learning and Control and Their Applications for Robots by Yiming Jiang, Chenguang Yang, Jing Na, Guang Li, Yanan Li, Junpei Zhong

“…Specifically, this survey also reviews a number of NN based robot control algorithms, including NN based manipulator control, NN based human-robot interaction, and NN based cognitive control.…”
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Application of embeddings for multi-class classification with optional extendability by Ф. Смілянець

“…Several simpler machine learning algorithms were then trained to classify on the produced embeddings. …”
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Detecting Post-Midnight Plasma Depletions Through Plasma Density and Electric Field Measurements in the Low-Latitude Ionosphere by Giulia D’Angelo, Emanuele Papini, Alessio Pignalberi, Dario Recchiuti, Piero Diego

“…To test the robustness and reliability of our algorithms, we also applied them to well-established Swarm B satellite observations. …”
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Enhanced Model Predictive Control Using State Variable Feedback for Steady-State Error Cancellation by Marcos Andreu, Jaime Rohten, José Espinoza, José Silva, Esteban Pulido, Lesyani Leon

“…The rapid dynamic responses of predictive control algorithms are widely acknowledged. However, achieving accurate steady-state reference tracking hinges not just on a precise mathematical model of the system but also on its parameters. …”
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Novel Insights into Non-Invasive Diagnostic Techniques for Cardiac Amyloidosis: A Critical Review by Marco Maria Dicorato, Paolo Basile, Giuseppe Muscogiuri, Maria Cristina Carella, Maria Ludovica Naccarati, Ilaria Dentamaro, Marco Guglielmo, Andrea Baggiano, Saima Mushtaq, Laura Fusini, Gianluca Pontone, Cinzia Forleo, Marco Matteo Ciccone, Andrea Igoren Guaricci

“…Non-invasive diagnostic techniques play a central role in the suspicion and detection of CA, also thanks to the continuous scientific and technological advances in these tools. …”
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Mapping the landscape of Artificial intelligence for serious games in Health: An enhanced meta review by Xiya Tao, Nicolás Sáenz-Lechón, Martina Eckert

“…The review also examines the growing trend of using multimodal data as input for machine learning models.Results show that a few well-known algorithms, such as Decision Trees (DT), Artificial Neural Networks (ANN), Fuzzy Logic (FL), Naïve Bayes (NB), and Support Vector Machines (SVM), are frequently used. …”
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Lung cancer and aortic stenosis: one-stage surgical treatment by A. A. Pechetov, B. G. Alekyan, A. N. Lednev, M. A. Makov, N. G. Karapetyan, L. G. Gelecyan

“…In situations when concomitant somatic pathology also requires a surgical approach, the determination of adequate treatment tactics is most relevant. …”
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Digital Compensation of Relative Phase Noise for DSCM Based Coherent Transmission System Using Forward Pumped Distributed Raman Amplification by Govind Vedala, Youichi Akasaka, Tadashi Ikeuchi, Rongqing Hui

“…This technique effectively eliminates the error floor that arises when conventional phase noise compensation algorithms track RPN, especially in the context of higher order modulation formats and low baud rate signals. …”
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Temporal Attention-Enhanced Stacking Networks: Revolutionizing Multi-Step Bitcoin Forecasting by Phumudzo Lloyd Seabe, Edson Pindza, Claude Rodrigue Bambe Moutsinga, Maggie Aphane

“…The proposed Temporal Attention-Enhanced Stacking Network (TAESN) integrates the complementary strengths of diverse machine learning algorithms while emphasizing critical temporal features, leading to substantial improvements in forecasting accuracy over traditional methods. …”
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Nephelometer Sensitivities for the Determination of PM2.5 Mass Concentration in Ambient and Indoor Air by Dimitra Karali, Glykeria Loupa, Spyridon Rapsomanikis

“…Abstract Simple algorithms are presented for the relationships between the gravimetrically measured PM2.5 mass concentration and a nephelometer particle scattering coefficient, for three different environments: two outdoor locations (an urban and a suburban) and one indoors. …”
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Multirotor Sizing Methodology with Flight Time Estimation by Marcin Biczyski, Rabia Sehab, James F. Whidborne, Guillaume Krebs, Patrick Luk

“…Furthermore, clearly defined input and output parameters make it also usable as a module in other multicriteria optimisation algorithms. …”
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Exploring Immersive Solutions for Surgery in the Virtuality Continuum: A Review by Belén Palma, Pablo Casanova-Salas, Jesús Gimeno, Manuel Pérez-Aixendri, José Vicente Riera

“…The evolution of technology and computer graphics algorithms has had a significant impact on the healthcare sector. …”
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