A novel mRNA-based multi-epitope vaccine for rabies virus computationally designed via reverse vaccinology and immunoinformatics by Wafa Tombari, Oussema Khamessi, Houcemeddine Othman, Ouafa Kallala, Rihab Mahjoub, Kais Ghedira, Abdelhalim Trabelsi

“…The cytotoxic T lymphocytes (CTLs), helper T lymphocytes (HTLs), and linear B-cell epitopes (LBLs) were mapped and prioritized from four top-ranking vaccine targets (nucleoprotein, phosphoprotein, matrix, and glycoprotein) that were highly antigenic, nonallergenic, nontoxic, and nonhuman homologs. The selected epitopes exhibited strong binding affinity to high-frequency HLA alleles, as evidenced by highly negative ΔG values and low dissociation constants, predicting efficient T-cell recognition and broad population coverage (96.01% globally). …”
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Protective mechanism of weathering steel rust layers in atmospheric environments and their stabilization treatment technologies by Junyi GAO, Weichen XU, Binbin ZHANG, Canming LI, Guobao LI, Baorong HOU

“…Most alloying elements enhance the protective properties of rust layers by improving their compactness, stability, and ionic selectivity. Research into evaluating the corrosion resistance of rust layers has now expanded to include artificial intelligence, advanced sensors, and big data technologies, making studies more dynamic and efficient. …”
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IMix: a user-friendly application for source partitioning using stable isotopes by Wenchen Song, Fei Li, Chuyang Luo

“…Results IMix is an accurate and easy-to-use tool that simplifies the calculation of source partitioning using stable isotopes and eliminates the associated complexity and uncertainty. It can also automatically analyse the advantages and disadvantages of isotope mixing models and automatically select the optimal mixing model based on user data. …”
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Simultaneous multi-objective framework of natural gas pipeline network operations by Mohamed Mostafa Hassanein Hussein

“…The method generates a diverse set of Pareto optimal solutions, empowering decision-makers to select the most suitable solution for gas transportation networks. …”
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Evaluation of Sustainable Performance of Industry 4.0 Technologies Using a Novel Fuzzy OPLO-POCOD Method by Reza Sheikh, Soheila Senfi

“…In the rapidly evolving landscape of decision-making, particularly amid the complexities of managing extensive data, it is crucial to develop methodologies that facilitate informed choices. …”
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Optimizing PAPR performance for 6G OTFS waveform using adaptive genetic PTS method for Rician fading channels by Arun Kumar, Aziz Nanthaamornphong, Nishant Gaur

“…Compared to traditional methods, such as standard partial transmit sequence (PTS), selective mapping, and companding, AGA-PTS offers faster convergence and lower computational complexity owing to its dynamic phase adaptation mechanism. …”
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Environmental risk assessment based on multiscale spatial recurrent neural network algorithm for IoT agriculture area by M. Sofiya, M. Arulmozhi

“…Abstract In recent years, smart agricultural environments have gained attention for enhancing farming efficiency and productivity. These systems use smart sensors integrated with Internet of Things (IoT) devices to collect data such as temperature, soil moisture, and humidity, helping to improve yield and optimize water usage. …”
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New Insights into the Function of the Immunoproteasome in Immune and Nonimmune Cells by Hiroaki Kimura, Patrizio Caturegli, Masafumi Takahashi, Koichi Suzuki

“…The immunoproteasome is a highly efficient proteolytic machinery derived from the constitutive proteasome and is abundantly expressed in immune cells. …”
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Early Warning for the Construction Safety Risk of Bridge Projects Using a RS-SSA-LSSVM Model by Gang Li, Ruijiang Ran, Jun Fang, Hao Peng, Shengmin Wang

“…This overcame the problem of multiple early warning factors and reduced the complexity of the subsequent prediction model. Then, the LSSVM with the strongest nonlinear modelling ability was selected to build the bridge construction early-warning model and adopted the SSA to optimize the LSSVM parameter combination, improving the early warning accuracy. …”
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Designing a Model for Enhancing Appropriate Organizational Culture in Educational and Medical Centers by Fariba Ansari, Yousef Namvar, Azam Rastgoo, Tooran Soleimani

“…Introduction: Organizational culture is a key factor in improving service quality, increasing patient satisfaction, and enhancing organizational efficiency in educational and medical centers. The present study aimed to design a comprehensive model for enhancing the organizational culture in such institutions, considering the complexity of these centers and the pivotal role of culture in their performance. …”
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CO2‐DBU‐Triggered Photoredox‐Catalyzed Direct α‐C‐H Alkylation of Alcohols by Zeyu Zhang, Zongchang Han, Yuhao Shang, Han‐Shi Hu, Jun Li, Chanjuan Xi

“…This strategy opens new avenues for efficient alkylation of ordinary alcohols, offering an environmentally friendly approach to complex molecular synthesis.…”
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Rope-Riding Mobile Anchor for Robots Operating on Convex Facades by Chaewon Kim, KangYup Lee, Jeongmo Yang, TaeWon Seo

“…This structural principle was selected for its simplicity, stability under heavy loads, and efficient actuation. …”
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Potential of Low-Cost UAV Photogrammetry for Documenting Hard-to-Access Interior Spaces Through Building Openings by Marián Marčiš, Marek Fraštia, Katarína Terao Vošková

“…However, due to the considerable diversity of cultural heritage, there are practical demands for the measurement of complex and inaccessible objects in interior spaces. …”
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A deep Reinforcement learning-based robust Intrusion Detection System for securing IoMT Healthcare Networks by Jamshed Ali Shaikh, Chengliang Wang, Muhammad Wajeeh Us Sima, Muhammad Arshad, Muhammad Owais, Dina S. M. Hassan, Reem Alkanhel, Mohammed Saleh Ali Muthanna

“…The methodology begins with Enhanced Mutual Information Feature Selection (MIFS) to preprocess the CICIoMT2024 dataset, selecting the most relevant features while reducing noise and computational complexity. …”
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Comparative study of NLFE models for simulating settlement-induced damage in masonry façades: macro- and simplified micro-models by Alfonso Prosperi, Michele Longo, Paul A. Korswagen, Giorgia Giardina, Jan G. Rots

“…Non-linear finite element modelling offers an effective approach for this purpose, though balancing model complexity, computational cost, and predictive reliability remains a key challenge. …”
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Deep Reinforcement Learning With Dueling DQN for Partial Computation Offloading and Resource Allocation in Mobile Edge Computing by Ehzaz Mustafa, Junaid Shuja, Faisal Rehman, Abdallah Namoun, Mazhar Ali, Abdullah Alourani

“…The Dueling DQN alleviates the complexity of simultaneous offloading and resource allocation decisions, with each branch independently controlling a subset of the decision variables to scale efficiently with an increasing number of IoT devices, thereby avoiding the combinatorial explosion of potential actions. …”
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KNOT OPTIMIZATION FOR BI-RESPONSE SPLINE NONPARAMETRIC REGRESSION WITH GENERALIZED CROSS-VALIDATION (GCV) by Andre Fajry Al Barra, Dewi Retno Sari Saputro

“…Nonparametric regression models are flexible and can capture complex relationships that may not be adequately represented by simple parametric forms. …”
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RABP: Delay/disruption tolerant network routing and buffer management algorithm based on weight by Hezhe Wang, Guangsheng Feng, Huiqiang Wang, Hongwu Lv, Renjie Zhou

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POT1 stability and binding measured by fluorescence thermal shift assays. by Lynn W DeLeeuw, Robert C Monsen, Vytautas Petrauskas, Robert D Gray, Lina Baranauskiene, Daumantas Matulis, John O Trent, Jonathan B Chaires

“…The protein POT1 (Protection of Telomeres 1) is an integral part of the shelterin complex that protects the ends of human chromosomes from degradation or end fusions. …”
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Enhancing chemical synthesis planning: automated quantum mechanics-based regioselectivity prediction for C–H activation with directing groups by Julius Seumer, Nicolai Ree, Jan H. Jensen

“…The mild and selective functionalization of carbon–hydrogen (C–H) bonds remains a pivotal challenge in organic synthesis, crucial for developing complex molecular architectures in pharmaceuticals, polymers, and agrochemicals. …”
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