Optimizing Oncolytic Virotherapy for Malignant Glioma: From Bench to Bedside by Jiang W, Tian Y, Gu H, Guan W

“…This limitation is primarily attributed to the viruses’ limited replication efficiency, suboptimal immune induction, premature clearance by antiviral immune responses, and the blood-brain barrier, which impedes effective intracranial delivery. Thus, further optimization of viral modifications, delivery systems, and treatment regimens is critical to enhancing therapeutic potency before OVT can become a standard therapy for malignant glioma. …”
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Novel distance-fitness learning scheme for ameliorating metaheuristic optimization by Emre Çelik, Essam H. Houssein, Mahmoud Abdel-Salam, Diego Oliva, Ghanshyam G. Tejani, Nihat Öztürk, Sunil Kumar Sharma, Mohammed Baljon

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Long-wavelength VCSELs with buried tunnel junction: design optimization by Andrey V Babichev, Yakov N Kovach, Sergey A Blokhin, Leonid Ya Karachinsky, Innokenty I Novikov, Anton Yu Egorov, Si-Cong Tian, Dieter Bimberg

“…The review is focused on reporting about design optimizations of the long-wavelength (LW) vertical-cavity surface-emitting laser (VCSELs) with an aperture formed by regrown (buried) tunnel junctions, pioneered by Amann et al from the Technical University of Munich and Vertilas GmbH. …”
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Dynamic risk stratification and treatment optimization in sepsis: the role of NLPR by Qiqi Chen, Ming Zhang, Yuxin Xia, Ya Deng, Yanna Yang, Lili Dai, Hongxia Niu

“…It complements traditional scoring systems, provides actionable thresholds for early intervention, and facilitates dynamic monitoring. …”
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Optimizing Monkeypox Lesions Detection With a Lightweight Hybrid Model by Mehdhar S. A. M. Al-Gaashani, Reem Ibrahim Alkanhel, Dina S. M. Hassan, Abduljabbar S. Ba Mahel, Ahmed Aziz, Mashael M. Khayyat, Ammar Muthanna

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Real-Time Optimal Control Design for Quad-Tilt-Wing Unmanned Aerial Vehicles by Zahra Samadikhoshkho, Michael G. Lipsett

“…A State-Dependent Riccati Equation (SDRE) approach is employed for attitude control, addressing nonlinearities, while a Linear Quadratic Regulator (LQR) is used for position and velocity control to achieve robustness and optimal performance. By integrating these strategies and utilizing the inverse dynamics approach, the proposed control system ensures stable and efficient operation. …”
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Swarm Intelligence-driven Multi-objective Optimization for Microgrid Energy Management and Trading considering DERs and EVs integration: Case Studies from Green Energy Park, Morocc... by Abdelilah Rochd, Abdelhadi Raihani, Oumaima Mahir, Mohammed Kissaoui, Mohamed Laamim, Abir Lahmer, Bouthaina El-Barkouki, Mouna El-Qasery, HongJian Sun, Josep M. Guerrero

Subjects: “…Multi-objective optimization…”
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A Model for Detecting <i>Xanthomonas campestris</i> Using Machine Learning Techniques Enhanced by Optimization Algorithms by Daniel-David Leal-Lara, Julio Barón-Velandia, Lina-María Molina-Parra, Ana-Carolina Cabrera-Blandón

“…Its rapid spread across large crop areas results in economic losses, compromises agricultural productivity, increases management costs, and threatens food security, especially in small-scale agricultural systems. To address this issue, this study developed a model that combines fuzzy logic and neural networks, optimized with intelligent algorithms, to detect symptoms of this foliar disease in 15 essential crop species under different environmental conditions using images. …”
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Global dynamics and time-optimal control studies for additional food provided holling type-III mutually interfering prey-predator systems with applications to pest management by D. Bhanu Prakash, D. K. K. Vamsi

“…Furthermore, we frame and characterize the time optimal control problems-considering the quality and quantity of additional food as control variables-using Pontryagin’s maximum principle and numerical optimization techniques. …”
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Frequency regulation of PV-reheat thermal power system via a novel hybrid educational competition optimizer with pattern search and cascaded PDN-PI controller by Serdar Ekinci, Davut Izci, Ozay Can, Mohit Bajaj, Vojtech Blazek

Subjects: “…Educational competition optimizer…”
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PSOA-LSTM: a hybrid attention-based LSTM model optimized by particle swarm optimization for accurate lung cancer incidence forecasting in China (1990–2021) by Nannan Xu, Guang Yang, Linlin Ming, Jiefei Dai, Kun Zhu

“…BackgroundAccurate forecasting of lung cancer incidence is crucial for early prevention, effective medical resource allocation, and evidence-based policymaking.ObjectiveThis study proposes a novel deep learning framework—PSOA-LSTM—that integrates Particle Swarm Optimization (PSO) with an attention-based Long Short-Term Memory (LSTM) network to enhance the precision of lung cancer incidence prediction.MethodsUsing the Global Burden of Disease 2019 (GBD 2019) dataset, the model predicts age- and gender-specific lung cancer incidence trends for the next 5 years. …”
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Optimizing and Testing an Individualized and Adaptive Physical Activity Digital Health Intervention: Protocol for a Control Optimization Trial Embedded Within a Randomized Controll... by Meelim Kim, Shadia Mansour-Assi, Mohamed El Mistiri, Junghwan Park, Sarasij Banerjee, Owais Khan, Steven De La Torre, Michael Higgins, Job Godino, Kevin Patrick, Camille Nebeker, Sonia Jain, Predrag Klasnja, Daniel E Rivera, Eric Hekler

“…If the trial is successful, the results will provide justification to explore both the control optimization trial approach and self-experimentation approach for other complex, idiosyncratic, and dynamic behaviors such as weight management, smoking, or substance abuse. …”
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Comparative Analysis of Some Methods and Algorithms for Traffic Optimization in Urban Environments Based on Maximum Flow and Deep Reinforcement Learning by Silvia Baeva, Nikolay Hinov, Plamen Nakov

Subjects: “…traffic optimization…”
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Photovoltaic energy harvesting booster under partially shaded conditions using MPPT based sand cat swarm optimizer by Moch Rafi Damas Abdilla, Novie Ayub Windarko, Bambang Sumantri

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A Martingale-Free Introduction to Conditional Gaussian Nonlinear Systems by Marios Andreou, Nan Chen

Subjects: “…conditional Gaussian systems…”
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Hybrid Genetic Algorithm-Based Optimal Sizing of a PV–Wind–Diesel–Battery Microgrid: A Case Study for the ICT Center, Ethiopia by Adnan Kedir Jarso, Ganggyoo Jin, Jongkap Ahn

Subjects: “…hybrid energy system…”
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Design of Adaptive LQR Control Based on Improved Grey Wolf Optimization for Prosthetic Hand by Khaled Ahmed, Ayman A. Aly, Mohamed O. Elhabib

“…However, achieving precise and stable control of such systems remains a significant challenge. This study proposes an Improved Grey Wolf Optimization (IGWO)-tuned Linear Quadratic Regulator (LQR) to enhance the control performance of an MFRH. …”
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Multi-Criteria Optimization of the Paper Production Process Using Numerical Taxonomy Methods: A Necessary Condition for Predicting Heat and Electricity Output in a Combined Heat and Power (CHP) System by Daria Polek, Tomasz Niedoba, Dariusz Jamróz

“…The findings contribute to minimizing the occurrence of paper roll tearing, thereby reducing the risk of inaccurate forecasts of the energy and heat produced by the CHP system. Furthermore, the methodology employed in this study may be effectively applied to other optimization problems in industrial processes.…”
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DEGENERATE DISTRIBUTED CONTROL SYSTEMS WITH FRACTIONAL TIME DERIVATIVE by Marina V. Plekhanova

“…Abstract results are applied to the research of an optimal control problem solvability for the equations system of Kelvin–Voigt fractional viscoelastic fluids.…”
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Hybrid optimization for sustainable design and sizing of standalone microgrids integrating renewable energy, diesel generators, and battery storage with environmental consideration... by Mohd Bilal, Pitshou N. Bokoro, Gulshan Sharma

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