multi-objective mathematical model for optimizing the collection and recycling of urban waste under conditions of uncertainty(The subject of study : Karaj city) by Mohsen Bijanpoor, Reza Ehtesham Rasi, Davood Gharakhany

“…Considering the collection and recycling supply chain network presented in this research and also based on the literature review, issues such as routing the movement of waste collection and transportation trucks in the mentioned network, production and storage planning for recycling centers,  using heuristic and meta-heuristic solution methods to solve the model which are combined with other exact mathematical solution methods such as Lagrange release, considering environmental objective functions such as pollution reduction in the waste transportation and recycling process and considering the uncertainty in the capacity of facilities can be considered as the subject of future research.…”
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Deep Learning Innovations for Underwater Waste Detection: An In-Depth Analysis by Jaskaran Singh Walia, Kavietha Haridass, L. K. Pavithra

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Risk Assessment and Influencing Factors of Bank Collapse in Jingzhou Section of Yangtze River in 2024 by LI Ling-yun, DENG Cai-yun, CHEN Fei, LIU Guo-liang, HE Guang-shui, GUO Chao, WANG Hong-yang

“…On this basis, a comprehensive bank collapse risk assessment model in the middle reaches of the Yangtze River was established. …”
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Machine learning the Ising transition: A comparison between discriminative and generative approaches by Difei Zhang, Frank Schäfer, Julian Arnold

“…The detection of phase transitions is a central task in many-body physics. To automate this process, the task can be phrased as a classification problem. …”
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MicroRNA-21-5p profile in the alveolar bone following tooth extraction in medication-related osteonecrosis of the jaw rat model by Manta Morakotsriwan, Theerapat Chanamuangkon, Anjalee Vacharaksa, Pirawish Limlawan, Pirawish Limlawan

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Design of intelligent English translation teaching system combined with bidirectional encoder representation by Shanshan Xu

“…This advanced natural language processing model can help us understand the context of the language well. …”
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Application of quantitative protein mass spectrometric data in the early predictive analysis of membrane-bound target engagement by monoclonal antibodies by Armin Sepp, Morris Muliaditan

“…Physiologically based pharmacokinetic (PBPK) modeling indicates that in these conditions only about 0.05% of the dosed mAb is likely to reach the solid tumor target cells. …”
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SHARAD Illuminates Deeper Martian Subsurface Structures with a Boost from Very Large Rolls of the MRO Spacecraft by Nathaniel E. Putzig, Gareth A. Morgan, Matthew R. Perry, Bruce A. Campbell, Jennifer L. Whitten, Fabrizio Bernardini, Alessandro DiCarlofelice, Piero Tognolatti, Pierfrancesco Lombardo

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Blending Western and Australian Aboriginal Approaches: A Study Protocol for Codesign of Bicultural Teleoncology Models of Care in Remote Australian Communities by Emma Webster, Gemma Purcell-Khodr, Billie Townsend, Allan Hall, Yvonne Hill, Cecil See, Katrina Ward, Florian Honeyball

“…Cancer treatments have failed to reach people who live in rural and remote Australia. …”
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Investigation of Typhoon-Induced Wind Waves for Deep-Sea Wind Power Platform Design by Jianjun Yi, Guangpu Bai, Pengfei Li, Jia Sun

“…This study investigates wind–wave coupling processes during typhoon events to provide guidance for typhoon selection in deep-sea wind power platform design. …”
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Nonlinear association between depressive symptoms and homeostasis model assessment of insulin resistance: a cross-sectional analysis in the American population by Chunqi Jiang, Bo Wang, Yinuo Qu, Jun Wang, Xin Zhang

“…BackgroundDepressive symptom, a pervasive mental health disorder, has garnered increasing attention due to its intricate interconnections with various physiological processes. One emerging avenue of investigation delves into the potential association between depressive symptom and Homeostasis Model Assessment of Insulin Resistance (HOMA-IR), a parameter reflecting insulin resistance. …”
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Research on Fault Prediction of Power Devices in Rod Control Power Cabinets Based on BiTCN-Attention Transfer Learning Model by Zhi Chen, Liqi Ye, Yifan Jian, Meiyuan Chen, Yuan Min

“…Then, after pre-processing such as removing outliers, kernel principal component analysis (KPCA) was used to integrate all source domain data, obtain source domain characterization data, and train the BiTCN-attention model. …”
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Classification of the Condition of Cancer Patients Receiving Home Health Care with Machine Learning Methods by Mürsel Kahveci

“…Determining the health status of cancer patients is of vital importance in the cancer treatment process. This process plays a critical role in assessing patients' quality of life and supporting the treatment process. …”
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Social norms and groups structure safe operating spaces in renewable resource use in a social–ecological multi-layer network model by M. Bechthold, M. Bechthold, M. Bechthold, W. Barfuss, W. Barfuss, A. Butz, J. Breier, J. Breier, S. M. Constantino, J. Heitzig, L. Schwarz, L. Schwarz, L. Schwarz, S. N. Vardag, J. F. Donges, J. F. Donges, J. F. Donges

“…Here we present a multi-level network framework with a complex contagion process for modelling the dynamics of descriptive and injunctive social norms. …”
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The Impact of the Human Factor on Communication During a Collision Situation in Maritime Navigation by Leszek Misztal, Paulina Hatlas-Sowinska

“…The presented system comprehensively performs communication tasks during a sea voyage. To reach the mentioned goal, AI methods of natural language processing and additional properties of metaontology (ontology supplemented with objective functions) are applied. …”
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Multi-label text classification via secondary use of large clinical real-world data sets by Sai Pavan Kumar Veeranki, Akhila Abdulnazar, Diether Kramer, Markus Kreuzthaler, David Benjamin Lumenta

“…FastText with less demanding hardware resources has reached a similar performance to BERT-based models and has shown to be more suitable for explaining the predictions efficiently.…”
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Unveiling Facial Fidelity: A Novel Approach to Synthesizing High-Quality Face Images Using Generative Adversarial Networks by Modafar Ati, Muhammad Ahmed Hassan, Muhammad Usman Ghani

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Perturbation-based Markovian transmission model for probing allosteric dynamics of large macromolecular assembling: a study of GroEL-GroES. by Hsiao-Mei Lu, Jie Liang

“…Large macromolecular assemblies are often important for biological processes in cells. Allosteric communications between different parts of these molecular machines play critical roles in cellular signaling. …”
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Weld Pool Boundary Detection Based on the U-Net Algorithm and Weld Seam Tracking in Plasma Arc Welding by Jidong Lu, Satoshi Yamane, Weixi Wang, Ning Li, Siqi Wang, Yuxiong Xia

“…The authors estimate the weld line position in real time by image processing based on U-Net prediction. The U-Net model demonstrates sufficient prediction where the accuracy reached 99.5% for the training data and 96.5% for the test data recognition. …”
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LCDDN-YOLO: Lightweight Cotton Disease Detection in Natural Environment, Based on Improved YOLOv8 by Haoran Feng, Xiqu Chen, Zhaoyan Duan

“…Additionally, the CBAM attention mechanism is incorporated into the neck network to improve model performance. A Focal-EIoU loss function is also integrated to optimize the model’s training process. …”
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