Strain promoted azide alkyne cycloaddition, an efficient surface functionalization strategy for microRNA magnetic separation by Djamila Kechkeche, Sirine El Mousli, Claire Poujouly, Emilie Secret, Vincent Dupuis, Isabelle Le Potier, Marie-Emmanuelle Goriot, Julien Siracusa, Sébastien Banzet, Jean Gamby, Jean-Michel Siaugue

“…Capture of the targeted miRNA by magnetic separation was then studied in buffered model media and in complex biological media. This study showed that MNP allowed magnetically-assisted extraction of target miRNA with good hybridization yields, even in biological media for which the capture capacity was preserved at around 75 %, with rapid kinetics and satisfactory selectivity.…”
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Marker-assisted selection in the development of advanced apple-tree forms and donors combining scab resistance with increased fruit storability by I. I. Suprun, E. A. Egorov, A. I. Nasonov, E. V. Lobodina, S. V. Tokmakov, I. V. Stepanov

“…They can also be used for breeding purposes as complex donors.…”
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Sectoral Efficiency and Resilience: A Multifaceted Analysis of S&P Global BMI Indices Under Global Crises by Milena Kojić, Slobodan Rakić, José Wesley Lima da Silva, Fernando Henrique Antunes de Araujo

“…This study investigates the complexity, efficiency, and sectoral interdependencies of the S&P Global BMI indices during critical global events, including the COVID-19 pandemic and the Russia–Ukraine war. …”
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Efficient Access to New Thienobenzo-1,2,3-Triazolium Salts as Preferred Dual Cholinesterase Inhibitors by Milena Mlakić, Maja Sviben, Ana Ratković, Anamarija Raspudić, Danijela Barić, Ivana Šagud, Zlata Lasić, Ilijana Odak, Irena Škorić

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HierLabelNet: A Two-Stage LLMs Framework with Data Augmentation and Label Selection for Geographic Text Classification by Zugang Chen, Le Zhao

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Consistency and Stability in Feature Selection for High-Dimensional Microarray Survival Data in Diffuse Large B-Cell Lymphoma Cancer by Kazeem A. Dauda, Rasheed K. Lamidi

“…High-dimensional survival data, such as microarray datasets, present significant challenges in variable selection and model performance due to their complexity and dimensionality. …”
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A Study of the Spatial Effects of Financial Support and Economic Growth under Optimal Control of Nonlinear Generalized Complex Systems by Xuexue Tang

“…This paper selects three dimensions of the financial system, namely, financial structure, financial efficiency, and financial scale, and studies the adaptability between these three dimensions and the development of the real economy, respectively, and then uses different empirical methods to analyze the dynamic adaptability effects between the development of the real economy and these three dimensions of the financial system and finally explores the way of adaptability between the financial system and the development of the real economy. …”
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An Efficient Fine-Grained Recognition Method Enhanced by Res2Net Based on Dynamic Sparse Attention by Qifeng Niu, Hui Wang, Feng Xu

“…This paper presents an efficient architecture built upon the Res2Net backbone, significantly enhanced by a dynamic Sparse Attention mechanism. …”
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Lung and Colon Cancer Classification Using Multiscale Deep Features Integration of Compact Convolutional Neural Networks and Feature Selection by Omneya Attallah

“…The experimental results exhibited outstanding performance, attaining 99.8% classification accuracy with cubic SVM classifiers employing merely 50 ANOVA-selected features, exceeding the performance of individual CNNs while markedly diminishing computational complexity. …”
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Enhancing 3D A* path planning of intelligent bridge crane based on energy efficiency criteria by Heng YANG, Yue LI, Min LIU, Qing DONG

“…To address the problems of traditional three-dimensional (3D) A* algorithm, such as low planning efficiency, numerous path inflection points, and increased path complexity when the target point is surrounded by obstacles, a 3D A* path-planning algorithm based on energy efficiency criteria is proposed in this study. …”
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Fermatean Probabilistic Hesitant Fuzzy Power Bonferroni Aggregation Operators with Dual Probabilistic Information and Their Application in Green Supplier Selection by Chuanyang Ruan, Lin Yan

“…In the realm of management decision-making, the selection of green suppliers has long been a complex issue. …”
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A Comprehensive Approach to Intrusion Detection in IoT Environments Using Hybrid Feature Selection and Multi-Stage Classification Techniques by G. Logeswari, J. Deepika Roselind, K. Tamilarasi, V. Nivethitha

“…This paper’s key contribution lies in the integration of feature selection and classification techniques tailored for IoT environments, filling a critical gap in the state of the art and offering a more adaptive and efficient solution for real-time intrusion detection.…”
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EphA2 and phosphoantigen-mediated selective killing of medulloblastoma by γδT cells preserves neuronal and stem cell integrity by Lola Boutin, Mingzhi Liu, Julie Déchanet Merville, Oscar Bedoya-Reina, Margareta T Wilhelm

“…Importantly, preliminary safety data showed that γδT cells did not target differentiated neurons or neuroepithelial stem cells derived from induced pluripotent stem cells, underscoring the selectivity and safety of this approach. In conclusion, γδT cells trigger an efficient and specific killing of MB and would offer a promising novel therapeutic strategy.…”
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Experimental Analysis of Thermal Performance and Evaluation of Vibration and Utility Function for the Readaptation of a Residential Building in an Experimental Housing Complex by Małgorzata Fedorczak-Cisak, Alicja Kowalska-Koczwara, Piotr Stecz, Anna Shymanska, Davide Ottaviano Palmieri

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Stochastic Fractal Search for Bayesian Network Structure Learning Under Soft/Hard Constraints by Yinglong Dang, Xiaoguang Gao, Zidong Wang

“…However, the acquisition of expert knowledge faces problems such as excessively high labor costs, limited expert experience, and the inability to solve large-scale and highly complex DAGs. Moreover, the current data learning methods also face the problems of low computational efficiency or decreased accuracy when dealing with large-scale and highly complex DAGs. …”
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Accuracy and cost comparison of 3D-printed guides in complex spinal deformity correction: direct vs indirect design by Wei Yang, Wei Yang, Wei Yang, Wei Guo, Wei Guo, Wen-Jun Wu, Rong Ma, Zemin Wang, Honglai Zhang, Wanzhong Yang, Zhaohui Ge, Zhaohui Ge

“…Among these techniques, patient-specific guides, which feature pre-defined and pre-validated trajectories, present an attractive solution for achieving precision in screw placement and osteotomies.MethodsCT scan data (DICOM format) from 10 patients with complex and severe spinal deformities were selected. …”
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ASSESSMENT OF COLLECTION NURSERY OF WINTER GARLIC ON ECONOMY VALUABLE SIGNS by L. I. Gerasimova, A. F. Agafonov, Т. М. Seredin

“…Results of long-term researches by laboratory selection of onions cultures (VNIISSOK) on studying, assessment and selection exemplars grades of garlic winter, collected from different regions of Russia and the CIS countries, on a complex of signs are presented in article (winter hardiness, efficiency, to quality of production, resistance to wreckers and diseases).…”
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Method of Calculation of Integrated Performance Indicators of Defense Industry Organizations by S. E. Eroshin

“…The purpose of the study is to develop a parametric monitoring system for defense industry enterprises, optimizing on the principle of minimum sufficiency a set of key indicators of the activities of organizations and increasing the efficiency of management of research institutes, design bureaus, industrial and service enterprises of the military-industrial complex.Materials and methods. …”
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Profiling low-mRNA content cells in complex human tissues using BD Rhapsody single-cell analysis by Alexandra Scheiber, Manuel Trebo, Annabella Pittl, Isabel Heidegger, Theresa Hautz, Rupert Oberhuber, Zlatko Trajanoski, Florian Augustin, Sieghart Sopper, Dominik Wolf, Andreas Pircher, Stefan Salcher

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Research on Ship Heave Motion Compensation Control Under Complex Sea State Environment Based on Improved Reinforcement Learning by ZHANG Qin, ZHOU Jingyi, WANG Xingyue, HU Xiong

“…The TD3 algorithm approximates the value function and policy by harnessing deep neural networks, equipping it to tackle complex and nonlinear sea condition challenges. Aligned with the uncertainty and complexity entailed by the maritime milieu, this study specifically fine‒tunes the output layer of the Actor network by amplifying the amplitude of the TanH function. …”
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