Impact of Mobile Phase Composition on Separation Selectivity of Labeled Dextran Ladder in Hydrophilic Interaction Liquid Chromatography by Matjaž Grčman, Niko R. Pompe, Drago Kočar, Matevž Pompe

“…It was assumed that the addition of methanol influences the folding pattern of dextrans around the permanent positive charge on the added tag, which influences the changes of separation selectivity. This work presents a systematic approach to altering mobile phase composition (buffer concentration, organic modifier type) to control retention and selectivity in complex glycan analysis. …”
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Model Input-Output Configuration Search With Embedded Feature Selection for Sensor Time-Series and Image Classification by Anh Tuan Hoang, Zsolt Janos Viharos

“…Moreover, the algorithm reduced feature dimensionality to just 2–5% of the original data, significantly enhancing computational efficiency. These results highlight the potential of MICS-EFS to improve model accuracy and efficiency in various machine learning tasks. …”
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Comparative Ranking Preferences Decision Analysis through a Novel Fuzzy TOPSIS Technique for Vehicle Selection by Marimuthu Dharmalingam, G. S. Mahapatra, Fasika Bete Georgise, Mahuya Deb

“…The decision-making process is complex and entails selecting the most appropriate alternatives. …”
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Unraveling oxygen vacancy-driven catalytic selectivity and hot electron generation on heterointerfaces using nanostructured platform by Gyu Rac Lee, Kyoungjae Song, Doosun Hong, Juyoung An, Yujin Roh, Minyoung Kim, Donghun Kim, Yeon Sik Jung, Jeong Young Park

“…Abstract Modulating the physicochemical properties of oxides is crucial to achieve efficient and desirable reactions in heterogeneous catalysis. …”
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Decision-making using quasirung orthopair fuzzy exponential aggregation operators for carbon capture technology selection by Faiz Muhammad Khan, Muhammad Rahim, Noor Alam, Mohammad Rais Ahmad

“…Abstract The selection of optimal carbon capture technologies is paramount in enhancing the efficiency of carbon emission mitigation efforts. …”
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Fostering regional intelligence from the ground up: a selection of case studies from EU projects by Anastasia Panori

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A Model For Optimization of Knowledge Management Outsourcing Decision Using Genetic Algorithm by Ameneh Khadivar, Fatemeh Abbasi, Sheyda Akbarian

“…It analyzes the criteria for selecting knowledge management outsourcing providers using a genetic algorithm. …”
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A low-complexity M-shaped reconfigurable intelligent meta-surface for mitigating pathloss in wireless systems by Maira Khafagy, Sherief Fathi, Ahmed Magdy

“…This study presents a novel Low-Complexity M-shaped Reconfigurable Intelligent Metasurface (LCM-RIM) designed to mitigate path loss in indoor environments. …”
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Simple Cobalt Nanoparticle-Catalyzed Reductive Amination for Selective Synthesis of a Broad Range of Primary Amines by Bingxiao Zheng, Liqin Yang, Yashuang Hei, Ling Yu, Sisi Wen, Lisi Ba, Long Ao, Zhiju Zhao

“…This work presents a facile, aqueous-phase synthesis of highly active cobalt catalysts (Co-Ph@SiO₂(x)) via pyrolysis of silica-supported cobalt–phenanthroline complexes. The optimized Co-Ph@SiO₂(900) catalyst achieved exceptional performance (>99% conversion, >98% selectivity) in the reductive amination of acetophenone to 1-phenylethanamine using NH₃/H₂. …”
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AUTOMATION OF OPTIMAL IDENTIFICATION OF DYNAMIC ELEMENT TRANSFER FUNCTIONS IN COMPLEX TECHNICAL OBJECTS BASED ON ACCELERATION CURVES by A. Yu. Alikov, M. A. Kovaleva, A. L. Rutkovskiy, N. V. Tedeeva

“…The problem of optimal control over a complex technical facility was solved. On the basis of the modified Simoyu method, an algorithm for the automated selection of the optimal shape and calculation of transfer function parameters of dynamic elements of complex technical objects according to the acceleration curves in the impact channels was developed. …”
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Microscopic Origin of Polarity‐Dependent VTH Shift in Amorphous Chalcogenides for 3D Self‐Selecting Memory by Ha‐Jun Sung, Minwoo Choi, Zhe Wu, Hwasung Chae, Sung Heo, Youngjae Kang, Bonwon Koo, Jong‐Bong Park, Wooyoung Yang, Yongyoung Park, Yongnam Ham, Kiyeon Yang, Chang Seung Lee

“…Abstract Ovonic threshold switching (OTS) selectors based on amorphous chalcogenides can revolutionize 3D memory technology owing to their self‐selecting memory (SSM) behavior. However, the complex mechanism governing the memory writing operation limits compositional and device optimization. …”
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Genotype-Driven Phenotype Prediction in Onion Breeding: Machine Learning Models for Enhanced Bulb Weight Selection by Junhwa Choi, Sunghyun Cho, Subin Choi, Myunghee Jung, Yu-jin Lim, Eunchae Lee, Jaewon Lim, Han Yong Park, Younhee Shin

“…However, due to the crop’s complex genome structure, lengthy growth cycle, self-incompatibility, and susceptibility to disease, onion breeding is challenging. …”
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Improved cancer detection through feature selection using the binary Al Biruni Earth radius algorithm by El-Sayed M. El-Kenawy, Nima Khodadadi, Marwa M. Eid, Ehsaneh Khodadadi, Ehsan Khodadadi, Doaa Sami Khafaga, Amel Ali Alhussan, Abdelhameed Ibrahim, Mohamed Saber

“…Metaheuristic algorithms have been employed to select features to address this issue. Although the efficacy of these algorithms has been demonstrated, challenges related to scalability and efficiency persist when handling large medical datasets. …”
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Selection of the optimal medical waste incineration facility location: A challenge of medical waste risk management by Stanojević Kristina, Radovanović Goran, Makajić-Nikolić Dragana, Savić Gordana, Simeunović Barbara, Petrović Nataša

“…In the proposed methodology on the chosen scenario and analysing the criteria relevant for selecting the most suitable location, using the DEA method, seven efficient locations for MW incineration facility were obtained. …”
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Tuning the selectivity of NH3 oxidation via cooperative electronic interactions between platinum and copper sites by Lu Chen, Xuze Guan, Zhaofu Fei, Hiroyuki Asakura, Lun Zhang, Zhipeng Wang, Xinlian Su, Zhangyi Yao, Luke L. Keenan, Shusaku Hayama, Matthijs A. van Spronsen, Burcu Karagoz, Georg Held, Christopher S. Allen, David G. Hopkinson, Donato Decarolis, June Callison, Paul J. Dyson, Feng Ryan Wang

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ACIVY: An Enhanced IVY Optimization Algorithm with Adaptive Cross Strategies for Complex Engineering Design and UAV Navigation by Heming Jia, Mahmoud Abdel-salam, Gang Hu

“…The algorithm’s exceptional convergence precision, solution reliability, and computational efficiency establish it as a powerful tool for challenging optimization problems requiring both accuracy and consistency.…”
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A novel Complex q-rung orthopair fuzzy Yager aggregation operators and their applications in environmental engineering by Jabbar Ahmmad, Tahir Mahmood, Dragan Pamucar, Hafiz Muhammad Waqas

“…Improving human health and comfort in buildings requires efficient temperature regulation. Temperature control system has a significant contribution in minimizing the impact of climate change. …”
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Effect of age on complexity and causality of the cardiovascular control: comparison between model-based and model-free approaches. by Alberto Porta, Luca Faes, Vlasta Bari, Andrea Marchi, Tito Bassani, Giandomenico Nollo, Natália Maria Perseguini, Juliana Milan, Vinícius Minatel, Audrey Borghi-Silva, Anielle C M Takahashi, Aparecida M Catai

“…We found that: 1) MF approaches are more efficient than the MB method when nonlinear components are present, while the reverse situation holds in presence of high dimensional embedding spaces; 2) the CE method is the least powerful in detecting age-related trends; 3) the association of HP complexity on age suggests an impairment of cardiac regulation and response to STAND; 4) the relation of SAP complexity on age indicates a gradual increase of sympathetic activity and a reduced responsiveness of vasomotor control to STAND; 5) the association from SAP to HP on age during STAND reveals a progressive inefficiency of baroreflex; 6) the reduced connection from HP to SAP with age might be linked to the progressive exploitation of Frank-Starling mechanism at REST and to the progressive increase of peripheral resistances during STAND; 7) at REST the diminished association from RESP to HP with age suggests a vagal withdrawal and a gradual uncoupling between respiratory activity and heart; 8) the weakened connection from RESP to SAP with age might be related to the progressive increase of left ventricular thickness and vascular stiffness and to the gradual decrease of respiratory sinus arrhythmia.…”
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Analysis of the efficacy of antiepileptic drugs in the treatment of infantile spasms and focal epilepsy associated with tuberous sclerosis complex by A. V. Grigoryeva, M. Yu. Dorofeeva, V. S. Perminov, E. D. Belousova

“…Background. Adequate selection of the 1st antiepileptic drug (AED) is an obligatory condition for the successful treatment of epilepsy. …”
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Enhancing PV power forecasting through feature selection and artificial neural networks: a case study by Mokhtar Ali, Abdelhalim Rabehi, Abdelkerim Souahlia, Mawloud Guermoui, Ali Teta, Imad Eddine Tibermacine, Abdelaziz Rabehi, Mohamed Benghanem, Takele Ferede Agajie

“…For instance, integrating ReliefF with MLP reduced the normalized mean absolute error (nMAE) to 9.21% with an R2 of 0.9608, while the best LSTM configuration achieved an nMAE of 9.29% and an R2 of 0.946 when using Chi-square selected features. These findings confirm that careful feature selection enhances model performance, reduces complexity, and ensures better generalization, offering valuable insights for more efficient solar energy management and grid stability.…”
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