XGBoost Algorithm for Cervical Cancer Risk Prediction: Multi-dimensional Feature Analysis by Sudi Suryadi, Masrizal

“…Cervical cancer continues to pose a significant global health challenge, with early detection remaining the cornerstone for effective intervention. …”
Get full text

Unknotting RNA: A method to resolve computational artifacts. by Simón Poblete, Mikolaj Mlynarczyk, Marta Szachniuk

“…Certain cases, particularly those involving dense packing of atoms or complex secondary structures, posed challenges that limited the efficiency of the method. …”
Get full text

Accelerating Content-Based Image Retrieval via GPU-Adaptive Index Structure by Lei Zhu

“…Most of them improve the retrieval efficiency via complex index structures, and few take into account the parallel implementation of them on underlying hardware, making the existing index structures suffer from low-degree of parallelism. …”
Get full text

Critical Factors Analysis of Severe Traffic Accidents Based on Bayesian Network in China by Hong Chen, Yang Zhao, Xiaotong Ma

“…The purpose of this study is to minimize the negative influences of the severe traffic accidents in China by profoundly analyzing the complex coupling relations among accident factors contributing to the single-vehicle and multivehicle traffic accidents with the Bayesian network (BN) crash severity model. …”
Get full text

Entropy-Guided Distributional Reinforcement Learning with Controlling Uncertainty in Robotic Tasks by Hyunjin Cho, Hyunseok Kim

“…This approach significantly enhances sample efficiency and adaptability in complex long-horizon tasks, highlighting the effectiveness of entropy-guided RL in navigating challenging and uncertain environments.…”
Get full text

Sex Ratio Dynamics of Lamprey Populations: Implications for Ecosystem Stability and Conservation by Huang Yiwei, Zhao Zhetong

“…Our model integrates population growth dynamics and sex ratio variations, identifying key indicators from literature that reflect lamprey population behaviors, including predation efficiency and susceptibility to predators. …”
Get full text

Understanding the affinity of Cyphos Nitrate for Zr(IV) over other metal ions present in simulated high level liquid waste compositions by Alok Rout, S. Sriram, N. Ramanathan

“…The extraction factor of [P66614][NO3] was compared with that observed in other classes of ILs in their undiluted condition. The efficient extraction of Zr(IV) without any additional ligand in IL phase by adopting simple complexation mechanism infers the novelty of [P66614][NO3]. …”
Get full text

Investigating Single-Molecule Molecular Inversion Probes for Medium-Scale Targeted DNA Methylation Analysis by Roy B. Simons, Hieab H. H. Adams, Manfred Kayser, Athina Vidaki

“…Conclusions: The observed low specificity and uniformity indicate that smMIPs in their current form are not compatible with the lowered complexity of bisulfite-converted DNA.…”
Get full text

Slope Stability Monitoring Methods and Technologies for Open-Pit Mining: A Systematic Review by Rohan Le Roux, Mohammadali Sepehri, Siavash Khaksar, Iain Murray

“…Using the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) 2020 guidelines, a total of 49 studies were selected from a collection of four engineering databases, and a comparative analysis was conducted to determine the underlying differences between the various methods for open-pit slope stability monitoring in terms of their performance across key attributes, such as monitoring accuracy, spatial and temporal coverage, operational complexity, and economic viability. …”
Get full text

Forecasting urban expansion: A dynamic urban growth model using DS-ConvLSTM to simulate multi-land regulation scenarios by Juyeong Nam, Changyeon Lee

“…Integrating 40 years of data, DS-ConvLSTM demonstrated superior performance compared to existing models, such as Convolutional Long Short-Term Memory (ConvLSTM), achieving an accuracy, F1-score, and Figure of Merit of 0.9801, 0.9510, and 0.8092, respectively. Notably, its efficient design reduces the network parameters by more than half compared to the ConvLSTM model, thereby decreasing model complexity. …”
Get full text

Optimization of household medical waste recycling logistics routes: Considering contamination risks. by Jihui Hu, Ying Zhang, Yanqiu Liu, Jiaqi Hou, Aobei Zhang

“…The complexity inherent in the optimization problem has motivated the development of the Adaptive Hybrid Artificial Fish Swarming Algorithm with Non-Dominated Sorting (AH-NSAFSA). …”
Get full text

Assessing the e-commerce last-mile logistics’ hidden risk hurdles by Rohit Raj, Arpit Singh, Vimal Kumar, Tanmoy De, Shalini Singh

“…Due to increasing last-mile logistics complexity, the e-commerce business's last-mile delivery has emerged as an imperative issue that impedes the advancement of contemporary last-mile logistics practices. …”
Get full text

Evaluating urban intersections: a comparative study of roundabouts versus protected U-turns—which is better? by Nawaf Alnawmasi, Hisham Jashami, Qiuqi Cai

“…This study aims to explore these complexities by analyzing the effectiveness of roundabouts and protected U-turns in the context of the unique urban landscape of the Hail City in Saudi Arabia. …”
Get full text

Visual Automatic Localization Method Based on Multi-level Video Transformer by Qiping ZOU, Botao LI, Saian CHEN, Xi GUO, Taohong ZHANG

“…This success highlights the effectiveness of the specialized approach in managing the complexities of selecting the clearest frame from video sequences. …”
Get full text

Development of Adaptive Testing Method Based on Neurotechnologies by E. V. Chumakova, D. G. Korneev, M. S. Gasparian

“…The aim of the study is to create neural network models of modules in an adaptive testing system to design an individual testing trajectory.The research article discusses the implementation of an adaptive testing system in terms of introducing artificial neural network modules into its composition, which should solve the problem of choosing a topic and the complexity of the next question, taking into account previous answers and the complexity of previously asked questions, as well as the connectivity of topics and response time as a factor guessing or searching for an answer, thereby forming an individual testing trajectory.Materials and methods. …”
Get full text

Construction of Analogy Indicator System and Machine-Learning-Based Optimization of Analogy Methods for Oilfield Development Projects by Muzhen Zhang, Zhanxiang Lei, Chengyun Yan, Baoquan Zeng, Fei Huang, Tailai Qu, Bin Wang, Li Fu

“…Oil and gas development is characterized by high technical complexity, strong interdisciplinarity, long investment cycles, and significant uncertainty. …”
Get full text

Navigating Ethical Dilemmas Of Generative AI In Medical Writing by Qurrat Ulain Hamdan, Waleed Umar, Mahnoor Hasan

“…Even though academic journals are trying to regulate the misuse of generative AI in medical writing by introducing AI detection as a regular part of the review process, the burden of upholding scientific accuracy and integrity still falls on the researcher’s shoulders. …”
Get full text

A Comprehensive Review of Analytical Approaches for Carotenoids Assessment in Plant-Based Foods: Advances, Applications, and Future Directions by Marcin A. Kurek, Havva Aktaş, Patryk Pokorski, Ewelina Pogorzelska-Nowicka, Jorge A. Custodio-Mendoza

“…Accurate quantification of these pigments is critical for food science, nutrition, and health research, yet their analysis remains challenging due to structural complexity, susceptibility to degradation, and matrix interferences. …”
Get full text

Classification of Metro Facilities with Deep Neural Networks by Deqiang He, Zhou Jiang, Jiyong Chen, Jianren Liu, Jian Miao, Abid Shah

“…Metro barrier-detection has been one of the most popular research fields. …”
Get full text

Fabrication of Fe3O4@UiO-66-NH2-QCA-CuCl2 nanocomposites as a novel magnetic metal–organic framework catalyst for sustainable synthesis of 2,3-diarylquinolines by Zahra Moghadasi, Reza Mohammadi, Vicky Jain, Suhas Ballal, Munthar Kadhim Abosaoda, Abhayveer Singh, T. Krithiga, Kamal Kant Joshi

“…This hybrid catalyst was applied in the efficient synthesis of 2,3-dihydroquinoline derivatives through a three-component reaction involving aryl aldehydes, aryl amines, and aryl epoxides in an ionic liquid solvent. …”
Get full text