Global Seismic Fragility Functions for Low-Rise RC Frames with Construction Deficiencies by M. Rizwan, N. Ahmad, J. Akbar, B. Ilyas, Arifullah, A. Ali, M. E. Ahmad, S. Pervez, M. E. Rahim, M. A. Z. Khan

“…Numerical frame models were prepared in finite element-based program SeismoStruct and calibrated against experimental tests. …”
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Low‐carbon economic schedule of the H2DRI‐EAF steel plant integrated with a power‐to‐hydrogen system driven by blue hydrogen and green hydrogen by Bokang Zou, Yuanshi Zhang, Qirui Chen, Qinran Hu, Xiaoyan Hu, Jing Shi, Zesen Li, Qi Wang

“…A mixed integer linear programming (MILP) model is developed for the comprehensive scheduling of the steel mill. …”
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Dynamic Optimization of Tunnel Construction Scheduling in a Reverse Construction Scenario by Jianying Wei, Yuming Liu, Xiaochun Lu, Rong Zhao, Gan Wang

“…A dynamic optimization model is developed for tunnel construction scheduling, integrating LSM, soft logic, Work Breakdown Structure (WBS), and Resource Breakdown Structure (RBS) within a dynamic scheduling framework. …”
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Towards a coherent flood forecasting framework for Canada: Local to global implications by Louise Arnal, Alain C. Pietroniro, John W. Pomeroy, Vincent Fortin, David R. Casson, Tricia A. Stadnyk, Prabin Rokaya, Dorothy Durnford, Evan Friesenhan, Martyn P. Clark

“…Recently, the Canadian meteorological and hydrological services were tasked to develop a national flow guidance system. Alongside this initiative, the Global Water Futures program has been advancing cold regions process understanding, hydrological modeling, and forecasting. …”
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TRPV1 inhibition sensitizes tumors to PD-1 blockade by reversing resistance to CTL-mediated killing by Min Kyu Son, Hyo-Jung Lee, Eunho Cho, Se Jin Oh, Tae Woo Kim

“…Identifying clinically actionable targets to overcome this resistance is therefore essential for developing effective combination strategies with ICB. …”
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AI-Powered Eye Tracking for Bias Detection in Online Course Reviews: A Udemy Case Study by Hedda Martina Šola, Fayyaz Hussain Qureshi, Sarwar Khawaja

“…We utilised R programming, ANOVA, and <i>t</i>-tests for analysis. …”
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Optimisation of railway tamping scheduling by Mahdi Khosravi, Alireza Ahmadi, Ahmad Kasraei, Arne Nissen

“…To achieve this, we formulated the track geometry tamping scheduling problem as a mixed integer linear programming model and employed a genetic algorithm for its resolution. …”
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A Framework for Rapidly Prototyping Data Mining Pipelines by Flavio Corradini, Luca Mozzoni, Marco Piangerelli, Barbara Re, Lorenzo Rossi

“…This paper presents Rainfall, a novel framework for rapidly prototyping data mining pipelines, developed through collaborative projects with industry. …”
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Caregiver Perceptions of an Educational Animation for Mobilizing Social Support in Kidney Transplant Access: A Qualitative Study by Maria Keller, Megumi Inoue, Naoru Koizumi, Samantha Meyo, Anne Solbu, Matthew Handmacher, Liise Kayler

“…Our clinical-research group developed a caregiver-directed educational animated video to complement an existing intervention currently being adapted to stimulate social network engagement in KT access. …”
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Multi-Period Operational Modelling and Optimization for Large-Scale Natural Gas Networks Considering Linepack Functions in Long-Distance Transmission Pipelines by Wenwen Zhang, Qiaoqiao Tang, Xuenong Gao, Rujin Zhou

“…In this research, we present a model-based, computer-aided framework that intuitively connects upstream natural gas operations with downstream power generation and distribution. We develop a multi-period Mixed-Integer Nonlinear Programming (MINLP) model that integrates gas treatment, compression, and long-distance transmission with power generation. …”
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Apparatus methods for monitoring dental treatment of patients with cervicobrachyalgia by A. V. Mitronin, A. V. Boldin, T. S. Zaushnikova, Yu. L. Kudryavtsev, M. I. Mitereva

“…Pain localized in the anatomical areas adjacent to the temporomandibular joint is an actual problem for doctors of various specialties.Aim. To develop a diagnostic algorithm and a comprehensive program for the treatment of patients with cervicobrachialgia combined with pathological dental occlusion.Materials and methods. …”
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Genetic Variability of Maize (Zea mays L.) Genotypes on Some Yield and Yield Components at Haramaya, Eastern Ethiopia by Mekuannet Belay Kebede, Degefa Gebissa

“…Genetic improvement in components of economic importance along with maintaining a sufficient amount of variability is always the desired objective in the any maize (Zea mays L.) breeding program which will be handled under the conditions of Haramaya, Eastern Ethiopia. …”
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Predicting outcomes following endovascular aortoiliac revascularization using machine learning by Ben Li, Badr Aljabri, Derek Beaton, Leen Al-Omran, Mohamad A. Hussain, Douglas S. Lee, Duminda N. Wijeysundera, Ori D. Rotstein, Charles de Mestral, Muhammad Mamdani, Mohammed Al-Omran

“…Outcome prediction tools may support clinical decision-making but remain limited. We developed machine learning algorithms that predict 30-day post-procedural outcomes. …”
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Modelo de distribución potencial de Leucaena leucocephala y Acacia farnesiana para el Noreste de México by David Gilberto López-Cantú, Aracely Maldonado-Torres, Elizabeth Crespo-Reyes, Glenda Nelly Requena-Lara, Juan Francisco Morales Pacheco, Jonathan Raúl Garay Martínez

“…The ecological niche models were developed with the maximum entropy algorithm of the Maxent software, the value of the area under the curve was used, using the Tool for Partial-ROC program and the Jackknife method was used to estimate the relative contribution of each climate variable. …”
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Automated Detection of Center-Pivot Irrigation Systems from Remote Sensing Imagery Using Deep Learning by Aliasghar Bazrafkan, James Kim, Rob Proulx, Zhulu Lin

“…In this study, we have adopted YOLOv11 to detect the center-pivot irrigation systems using multiple remote sensing datasets, including Landsat 8, Sentinel-2, and NAIP (National Agriculture Imagery Program). We developed an ArcGIS custom tool to facilitate data preparation and large-scale model execution for YOLOv11, which was not included in the ArcGIS Pro deep learning package. …”
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A Stage Structure Prey Predator Model Using Pentagonal Fuzzy Numbers and Functional Response by Vinothini Palani, Kavitha Krishnan

“…The mathematical formulation is developed by using a prey predator model in a fuzzy environment. …”
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Sparse Regularization With Reverse Sorted Sum of Squares via an Unrolled Difference-of-Convex Approach by Takayuki Sasaki, Kazuya Hayase, Masaki Kitahara, Shunsuke Ono

“…The core idea of our proposed method lies in transforming the optimization problem into a difference-of-convex programming problem, for which solutions are known. …”
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Analysis of the visibility and signal strength of the LoRaWAN network in an urbanized area – a case study of the Bielany campus at the Nicolaus Copernicus University in Toruń by Karpińska Dominika, Kunz Mieczysław

“…LPWAN networks, including LoRa technology, were developed to support a number of mobile devices where long wireless operation is a priority. …”
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Practical DU-CU Placement in an Enhanced Mobile BroadBand Request During 5G Traffic by Ange Joel Nounga Njanda, Joao Filipe Muchanga, Hojjat Baghban, Karcius Day R. Assis

“…To ensure the scalability of the solution for large-scale networks and reduce computation time, we also developed a heuristic algorithm capable of providing solutions close to those obtained by the MILP solver. …”
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Targeting CX3CR1 Signaling Dynamics: A Critical Determinant in the Temporal Regulation of Post-Stroke Neurorepair by Quan He, Tong Zhou, Quanwei He

“…Despite challenges like biomarker validation, mechanistic exploration, and cross-species differences, integrating cutting-edge technologies such as spatial metabolomics and AI-driven dynamic modeling promises to shift stroke therapy toward personalized spatiotemporal programming. Temporally targeting CX3CR1 signaling may offer a key basis for developing next-generation precision neural repair strategies for stroke.…”
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