Advances and prospects in tumor infiltrating lymphocyte therapy by Xu Qiu, Shengjun Li, Tianyu Fan, Yue Zhang, Bin Wang, Bei Zhang, Mingzhe Zhang, Li Zhang

“…Even though significant advances have been made in the procedure of TIL therapy, from TIL isolation, modification, expansion, and infusion back to the patient to target the tumor, strategy optimization is always ongoing to overcome drawbacks such as a complex process, options for the lineage differentiation status of TILs, and sufficient trafficking of TILs to the tumor. …”
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State-of-the-art optimization methods for short-term mine planning [version 2; peer review: 1 approved, 2 approved with reservations] by Nasib Al Habib, Moise Kambala Malundamene, Hooman Askari-Nasab, Khalil Abdessamad, Saâd Soulaimani

“…Short-term mine planning teams are expected to identify and manage potential risks to mitigate them, and eventually achieve the long-term objective of maximizing the Net Present Value (NPV). Very few studies have identified the problems that exist in short-term mine planning and provided technical solutions to overcome them for open-pit mines. …”
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Risk assessment and hybrid algorithm transportation path optimization model for road transport of dangerous goods by Qiankun Jiang, Haiyan Wang

“…The current risk assessment methods for dangerous goods roads have the problem of being unable to cope with complex road conditions and the influence of multiple factors. …”
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Stability Analysis of a Rumor-Spreading Model with Two Time Delays and Saturation Effect by Chunfeng Wei, Chunlong Fu, Xiaofan Yang, Yang Qin, Luxing Yang

“…Time delay and nonlinear incidence functions have a significant effect on rumor-spreading. In this article, a rumor-spreading model with two unequal time delays and a saturation effect is proposed. …”
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An IoT-based GNSS platform for infrastructure monitoring by R. Beber, L. Morelli, F. Remondino, F. Hernandez

“…In recent years, mining operators have adopted Information and Communications Technology (ICT) for monitoring and inspection operations but archaic/manual processes to collect and analyse data are still in use, thus making the protection of mining critical assets a costly and highly complex problem, reducing the capabilities of the monitoring system to trigger automatic alarms. …”
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A Label-Free CRISPR/Cas12a-G4 Biosensor Integrated with FTA Card for Detection of Foodborne Pathogens by Anqi Chao, Qinqin Hu, Kun Yin

“…To tackle this problem, we have developed a label-free, equipment-free platform integrating FTA card-based extraction, CRISPR/Cas12a, and pre-folded G-quadruplex (G4)–Thioflavin T (ThT) signal reporter. …”
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Summary Instance: Scalable Event Priority Determination Engine for Large-Scale Distributed Event-Based System by Ruisheng Shi, Yang Zhang, Lina Lan, Fei Li, Junliang Chen

“…The time complexity of data prioritization is constant and independent of the number of priority rules. …”
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An Efficient Large-Scale Sensor Deployment Using a Parallel Genetic Algorithm Based on CUDA by Jae-Hyun Seo, Yourim Yoon, Yong-Hyuk Kim

“…We have employed evolutionary computation to solve the optimization problem of sensor deployment in battlefield environments. …”
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NONSPECIFIC MECHANISMS OF CHRONIC KIDNEY DISEASE PROGRESSION by V. V. Kalyuzhin, O. I. Urazova, Ye. V. Kalyuzhina, O. F. Sibireva, L. M. Tkalich, L. I. Zibnitskaya, N. N. Terent’yeva

“…The authors of the review have analyzed papers published on the problem of pathogenesis chronic kidney disease (CKD), which the experts of the K/DOQI (Kidney Disease Outcomes Quality Initiative) Advisory Board (National Kidney Foundation, USA) is defined as the presence of kidney damage or decreased level of kidney function for three months or more, irrespective of diagnosis. …”
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A2PC: Augmented Advantage Pointer-Critic Model for Low Latency on Mobile IoT With Edge Computing by Rodrigo Carvalho, Faroq Al-Tam, Noelia Correia

“…The nature of this planning problem makes cutting-edge deep reinforcement learning (DRL) techniques useful in solving pertinent issues, such as having to deal with multiple dimensions in the action space while aiming for optimum levels of system performance. …”
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Moving Towards Electrified Waste Management Fleet: State of the Art and Future Trends by Tommaso Bragatto, Mohammad Ghoreishi, Francesca Santori, Alberto Geri, Marco Maccioni, Mostafa Jabari, Huda M. Almughary

“…Optimization methodologies, such as vehicle routing problems (VRPs) and dynamic scheduling, have demonstrated significant improvements in operational efficiency and emissions reduction. …”
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The relationship between microRNAs and COVID-19 complications by Abdollah Kebriaei, Reza Besharati, Hasan Namdar Ahmadabad, Shahrzad Havakhah, Mahsa Khosrojerdi, Amir Azimian

“…Over the past three years, since the onset of COVID-19, several scientific studies have concentrated on understanding susceptibility to the virus, the progression of the illness, and possible long-term complexity. …”
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Vaccines in the fight against antimicrobial resistance – perspectives from South Africa by A Brink, A Kgasi, A Musyoki, B Kagina, C Feldman, D Reddy, E du Toit, E Kalanxhi, J Meyer, I Impalli, M Schönfeldt, M Sibanda, N Schellack, P Skosana, S Essack, S Dlamini, Y Ramsamy

“…AMR is a complex issue; however, at its core, it is driven by the overuse and inappropriate use of antimicrobials. …”
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Optimization of Electrical Discharge Machining Process by Metaheuristic Algorithms by Nurezayana Zainal, Mohanavali Sithambranathan, Umar Farooq Khattak, Azlan Mohd Zain, Salama A. Mostafa, Ashanira Mat Deris

“…Several attempts have been carried out to solve the optimization problem involved in the EDM process. …”
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Machine Learning-Based Detection of Non-Technical Losses in Power Distribution Networks by Mahmut Türk, Heybet Kılıç, Cem Haydaroglu

“…Comparisons with such traditional methods have revealed the superiority of CNN in determining complex leakage patterns. …”
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Automated descriptive cell type naming in flow and mass cytometry with CytoPheno by Amanda R. Tursi, Celine S. Lages, Kenneth Quayle, Zachary T. Koenig, Rashi Loni, Shruti Eswar, José Cobeña-Reyes, Sherry Thornton, Tamara Tilburgs, Sandra Andorf

“…Abstract Advances in cytometry have led to increases in the number of cellular markers that are routinely measured. …”
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Novi pristup u upravljanju hidroelektranama zasnovan na neuronskim mrežama by Radmila Koleva, Darko Babunski, Emil Zaev, Atanasko Tuneski, Laze Trajkovski

“…Artificial Neural Networks (ANN) as a technique used in the HPP control systems have advantages in getting a stable and faster response but the complexity of the structure behind the neural networks (NN), meaning algorithms, number of hidden layers, training function, activation function can complicate and destabilize the process. …”
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Modeling and Quantifying Interaction of Information and Capacity in Public Transport Disruptions by Mahsa Rahimi Siegrist, Francesco Corman

“…Our results show that different information dissemination strategies have a large impact on direct and indirect effects. …”
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Convolutional Neural Networks for Predicting Power Outages in Baghdad by Saja Jafar Jawad, Shaymaa. W. Al-Shammari

“… Power outages are a common and persistent problem in Iraq, significantly impacting various aspects of life and business. …”
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Language model-enhanced edge factor mining in citation network by WANG Minmao, ZHAO Hongke, WU Likang, JIAO Zhixian, HUANG Zhenya

“…Despite attempts to enrich node and edge feature representations by integrating LLM with their strong textual understanding capabilities, these approaches have still not effectively sloved the problem of uncovering the underlying drivers of edge information. …”
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