Design of a Piezoelectrically Actuated Ultrananocrystalline Diamond (UNCD) Microcantilever Biosensor by Villarreal Daniel, Orlando Auciello, Elida de Obaldia

“…Both frequency and time domain analyses were performed to predict the resonance behavior, oscillation amplitude, and quality factor. …”
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Assessing the impact of pozzolanic materials on the mechanical characteristics of UHPC: analysis, and modeling study by Diar Fatah Abdulrahman Askari, Sardam Salam Shkur Shkur, Azad Abdwlqader Mohammed, Hersh F. Mahmood, Brwa Hamah Saeed Hamah Ali, Soran Abdrahman Ahmad

“…Abstract Due to the required time for the trail mix for the concrete production, for obtaining required strength or finding the effect of changing the rate of the composed materials on the concrete behavior, with high rate of the cost when the concrete mix be high strength concrete or high performance concrete, or ultra high performance, the availability of the equation that capable to show the effect of each independent parameters on the produced property of the mix become necessary. …”
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Exploreing the potential mechanism of Aitongxiao formula inhibiting hepatocellular carcinoma in vitro and in vivo based on network Pharmacology by Xiaoqing Zhao, Hu Zhou, Meng Xia, Qingqing Cheng, Rongzhi Wang, Junyu Tao, Jing Leng

“…Network pharmacology was first used to predict the potential targets and pathways of ATXF against liver cancer. …”
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Shear Strengthening of High-Strength Reinforced Concrete Deep Beams with Openings Using High-Performance Concrete Mortars by Ahmed Hamoda, Mohamed Emara, Mizan Ahmed, Aref A. Abadel

“…It was found that the adaptation of the Concrete Damage Plasticity (CDP) model with the parameters adopted in this study can accurately predict the behavior of the tested beams. An average error of only 4% was obtained for the experiment-to-predicted load for cracking and ultimate load. …”
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Machine learning-enhanced fully coupled fluid–solid interaction models for proppant dynamics in hydraulic fractures by Dennis Delali Kwesi Wayo, Sonny Irawan, Lei Wang, Leonardo Goliatt

“…Abstract This study presents a hybrid modeling framework for predicting proppant settling rate (PSR) in hydraulic fracturing by integrating symbolic physics-based derivations, parametric simulations, and ensemble machine learning. …”
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An Intelligent Crow Search Optimization and Bi-GRU for Forest Fire Detection System Using Internet of Things by Syed Abdul Moeed, Bellam Surendra Babu, M. Sreevani, B. V. Devendra Rao, R. Raja Kumar and Gouse Baig Mohammed

“…CSO is inspired by the intelligent foraging behavior of crows, and when combined with fractional calculus, it provides a robust optimization framework that improves the accuracy and efficiency of the AI model. …”
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An Efficient Hybrid 3D Computer-Aided Cephalometric Analysis for Lateral Cephalometric and Cone-Beam Computed Tomography (CBCT) Systems by Laurine A. Ashame, Sherin M. Youssef, Mazen Nabil Elagamy, Sahar M. El-Sheikh

“…This explainability is crucial in medical AI applications, where understanding model behavior is as important as achieving high accuracy. …”
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A New Model for Simulating the Imbibition of a Wetting-Phase Fluid in a Matrix-Fracture Dual Connectivity System by Xuewei Ning, Robert Ewing, Qinhong Hu, Qiming Wang, Xiaoming Zhang

“…Although the experiments, data simulation, and prediction results are based only on Barnett Shale samples, the model is readily applicable to imbibition tests of other fractured rocks to show the spatial and temporal behavior during a dynamic imbibition process that are not easily captured experimentally.…”
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Impact of Multiple Factors on Temperature Distribution and Output Performance in Dusty Photovoltaic Modules: Implications for Sustainable Solar Energy by Weiping Zhao, Shuai Hu, Zhiguang Dong

“…Validation against experimental data and comparisons with the NOCT model demonstrated the validity and advantages of the proposed model in accurately predicting PV module behavior. This validated model was then employed to simulate and analyze the influence of various parameters on the temperature of dusty modules and to evaluate the module output power, providing insights into sustainable PV energy generation. …”
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Multi-Sensor Model for Earth Observation Robust to Missing Data via Sensor Dropout and Mutual Distillation by Francisco Mena, Dino Ienco, Cassio F. Dantas, Roberto Interdonato, Andreas Dengel

“…Nevertheless, most of them have suboptimal behavior when a single-sensor is available for prediction. …”
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Study on Spatiotemporal Variation in Internal Temperature Field in Quartz Flexible Accelerometer by Zhigang Zhang, Fangxiang Tang, Ziwei Zhao, Zhao Zhang, Lijun Tang

“…This indicates that the model can accurately predict the temperature variation within the QFA, thereby providing robust support for investigating the temperature behavior inside the QFA and offering essential technical foundations for enhancing the accuracy of the temperature error correction method.…”
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An Optimized Pathway for Nitrate Removal from Aqueous Solution by Environmentally Friendly Calabash Gourd Shell Adsorbent Based on Experimental Design Methodology by Goran S. Nikolić, Nataša Simonović, Miloš Durmišević, Nada Nikolić, Dragana Marković Nikolić, Milena Nikolić, Grozdanka Bogdanović, Aleksandar Bojić

“…The quadratic polynomial model using CCD proved to be useful for understanding the adsorption system’s behavior, locating the optimal process factors, and predicting the adsorption efficiency (R² > 0.95). …”
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Modelling the brittle failure of graphite induced by the controlled impact of runaway electrons in DIII-D by S. Ratynskaia, P. Tolias, T. Rizzi, K. Paschalidis, A. Kulachenko, E. Hollmann, M. Beidler, Y. Liu, D. Rudakov, I. Bykov, R.A. Pitts

“…KORC provides the RE striking positions and momenta, Geant4 calculates the volumetric energy deposition and COMSOL simulates the thermoelastic response. Brittle failure is predicted according to the maximum normal stress criterion, which is suitable for ATJ graphite owing to its linear elastic behavior up to fracture and its isotropic mechanical properties. …”
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Matrix stiffness drives drop like nuclear deformation and lamin A/C tension-dependent YAP nuclear localization by Ting-Ching Wang, Samere Abolghasemzade, Brendan P. McKee, Ishita Singh, Kavya Pendyala, Mohammad Mohajeri, Hailee Patel, Aakansha Shaji, Anna L. Kersey, Kajol Harsh, Simran Kaur, Christina R. Dollahon, Sasanka Chukkapalli, Pushkar P. Lele, Daniel E. Conway, Akhilesh K. Gaharwar, Richard B. Dickinson, Tanmay P. Lele

“…We show that the nuclear lamina exhibits mechanical threshold behavior: once unwrinkled, the nuclear lamina is inextensible. …”
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Predictors of Cognitive Defects and Its Prevention Capabilities in Premature Infants by Irina A. Belyaeva, Alexander A. Baranov, Leyla S. Namazova-Baranova, Kamilla E. Efendieva, Polina S. Arimova, Alexey I. Molodchenkov, Elena P. Bombardirova, Georgiy A. Karkashadze, Tatiana V. Turti, Elena A. Vishnyova

“…The most common problems were revealed in learning mathematics, operational memory and purposeful behavior and activity. Frequency of these cognitive defects is associated with both: stage of prematurity social problems of the family. …”
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ELECTROMAGNETIC FIELD APPLICATION IN FLUIDIZATION OF METALLIC PARTICLES by GABRIELA MUNTIANU, ILEANA-DENISA NISTOR, DIANA-CARMEN MIRILĂ, ANA-MARIA GEORGESCU, VASILICA-ALISA ARUȘ, NICOLETA PLATON, COSMIN JINESCU

“…These results are important for designing an installation for the fluidization of metallic particles and for predicting the behavior of a magnetically stabilized fluidized bed (MSFB). …”
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Altered extracellular matrix structure and elevated stiffness in a brain organoid model for disease by Maayan Karlinski Zur, Bidisha Bhattacharya, Inna Solomonov, Sivan Ben Dror, Alon Savidor, Yishai Levin, Amir Prior, Tamar Sapir, Talia Harris, Tsviya Olender, Rita Schmidt, J. M. Schwarz, Irit Sagi, Amnon Buxboim, Orly Reiner

“…Abstract The viscoelastic properties of tissues influence their morphology and cellular behavior, yet little is known about changes in these properties during brain malformations. …”
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A high stroma-tumor ratio is associated with an immunosuppressive tumor microenvironment and a poor prognosis in bladder cancer by Yiqiang Da, Zirong Lu, Zirong Lu, Zijian Zhu, Hongrui Tai, Yuan Liu, Yichao Zhu, Yichao Zhu

“…Next, we found that stroma could predict molecular subtypes and different therapy options in BLCA. …”
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Dynamic Assessment of Population Exposure to Urban Flooding Considering Building Characteristics by Shaonan Zhu, Xin Yang, Jiabao Yang, Jun Zhang, Qiang Dai, Zhenzhen Liu

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Comparative Efficacy of Immune Checkpoint Inhibitors and Therapeutic Vaccines in Solid Tumors: A Systematic Review and Meta-Analysis of Randomized Controlled Trials by Rasha Babiker, Adil Farooq Wali, Mohamed El-Tanani, Syed Arman Rabbani, Imran Rangraze, Shakta Mani Satyam, Mohamed Anas Patni, Yahia El-Tanani

“…These findings support the need for personalized immunotherapy approaches as well as further research to identify predictive biomarkers and optimize treatment strategies by acquiring deep insights into the TME dynamic and behaviors.…”
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