Leveraging Machine Learning Regression Algorithms to Predict Mechanical Properties of Evaporitic Rocks From Their Physical Attributes by Ayham Zaitouny, Hasan Arman, Anusuya Krishnan, Alaa Ahmed, Ahmed Gad

“…In this study, machine learning (ML) regression algorithms were applied to predict four key mechanical parameters, namely, uniaxial compressive strength (UCS), point load index (PLI), indirect tensile strength (ITS), and Schmidt hardness value (SHV), based on the physical attributes of evaporitic rocks. …”
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Endosomal Trafficking Bypassed by the RAB5B‐CD109 Interplay Promotes Axonogenesis in KRAS‐Mutant Pancreatic Cancer by Dingwen Zhang, Yuming Luo, Yan Lin, Zhou Fang, Hanhao Zheng, Mingjie An, Qingyu Xie, Zhuo Wu, Chao Yu, Jiabin Yang, Min Yu, Changhao Chen, Rufu Chen

“…Abstract Perineural invasion (PNI) represents a unique biological feature associated with poor prognosis in pancreatic ductal adenocarcinoma (PDAC), especially in the presence of KRAS mutations. …”
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Atovaquone-induced activation of the PERK/eIF2α signaling axis mitigates metabolic radiosensitisation by Jie Feng, Varun Pathak, Niall M. Byrne, Sarah Chambers, Tongchuan Wang, Rayhanul Islam, Reinhold J. Medina, Jonathan A. Coulter

“…Abstract Background Hypoxia, a key feature of most solid tumours, including head and neck cancer, reduces radiotherapy efficacy by promoting radiation resistance through micro-environmental and genomic alterations. …”
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Normative 3D opto-electronic stereo-photogrammetric posture and spine morphology data in young healthy adult population. by Moreno D'Amico, Edyta Kinel, Piero Roncoletta

“…This was associated with four factors: unbalanced posture and/or underfoot loads, spinal curvature in the frontal plane, and pelvis torsion. …”
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A multi-parameters assessment method and prediction model for ground vibration under the high-speed railway bridge by Wenya Yuan, Baoxin Jia, Zhiyang Zhou, Jing Zhang, Puzhen An

“…Then, according to the assessment results, based on the vibration attenuation model under railway traffic load effect and the superposition feature of multi-piers vibration sources under high-speed railway bridges, we developed a ground vibration attenuation prediction model of VL Z , which is characterized with multi-piers vibration sources and exactly applicable to the ground vibration prediction under the high-speed railway bridges. …”
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Compact 999.6 nm Actively Q-Switched Yb3+:LuAlO for Laser-Induced Breakdown Spectroscopy Laser by A. Rudenkov, V. Kisel, A. Yasukevich, K. Hovhannesyan, A. Petrosyan, N. Kuleshov

“…The reduction in the thermal conductivity of doped laser crystal in comparison with host materials is small in the case of ions with close atomic mass and ionic radii such as for Yb3+ and Lu3+. This feature makes LuAlO3 (LuAP) more promising host crystal for doping by Yb3+ ions in contrast to YAP especially for high output power laser systems. …”
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Analysis of the safe operation region of grid-connected converters under time-varying operating point conditions by Weijie Xie, Fan Xiao, Yuting Zheng, Guochen Kuang, Chunming Tu, Liu Long, Qi Guo

“…The operating points of the GCCs are closely related to several factors such as the volatility of new energy and the random switching of loads, therefore exhibit time-varying characteristics. …”
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Replacing Gauges with Algorithms: Predicting Bottomhole Pressure in Hydraulic Fracturing Using Advanced Machine Learning by Samuel Nashed, Rouzbeh Moghanloo

“…Using a large body of work, including 42 vertical wells, an extensive dataset was constructed and meticulously packed using processes such as feature selection and data manipulation. Eleven machine learning models were then developed using parameters typically available during hydraulic fracturing operations as input variables, including surface pressure, slurry flow rate, surface proppant concentration, tubing inside diameter, pressure gauge depth, gel load, proppant size, and specific gravity. …”
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Experimental Study of 2-Ethylhexyl Nitrate Effects on Engine Performance and Exhaust Emissions of Diesel Engine Fueled with Diesel–2-Methylfuran Blends by Balla M. Ahmed, Maji Luo, Hassan A. M. Elbadawi, Nasreldin M. Mahmoud, Pang-Chieh Sui

“…Experiments were conducted using a modified four-cylinder, four-stroke, direct-injection compression ignition (DICI) engine featuring a common rail fuel injection system. The engine was evaluated under different load conditions, with brake mean effective pressure (BMEP) ranging from 0.13 to 1.13 MPa, while maintaining a constant engine speed of 1800 rpm. …”
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Ultimate Buckling Limit State Assessments of Perforated Panels in Medium-Range Merchant Ships Based on Updated Classification Rules and Nonlinear Finite Element Analysis by Gitae Kim, Inhwan Cha, Gökhan Tansel Tayyar, Joonmo Choung

“…Merchant vessels often feature numerous perforations in their web frames. …”
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Urban Toponyms as Linguistic Markers of “Owning” the Space by Natalia Vasiljeva

“…Vernacular regions are loaded with not only territorial, but also social and emotional sense and relate to mental maps. …”
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Molecular dynamics-based explanation of the reinforcement geometry effects on CNT/graphene-reinforced Al0.3CoCrFeNi high-entropy alloys by Subrata Barman, Kritesh Kumar Gupta, Sudip Dey

“…The influence of reinforcement’s shape and geometry on the mechanical performance of HEA composites is explained by observing the load distribution, dislocation analysis, deformation mechanism, and failure mechanism. …”
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NAF-MEEF: A Nonlinear Activation-Free Network Based on Multi-Scale Edge Enhancement and Fusion for Railway Freight Car Image Denoising by Jiawei Chen, Jianhai Yue, Hang Zhou, Zhunqing Hu

“…Additionally, it employs a Nonlinear Activation-Free feature extractor that effectively captures local and global image information. …”
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Transient Characteristics Analysis of He-Xe Cooled Space Reactor Coupled with Brayton Cycle Nuclear Power System by WU Yangmao1, 2, TANG Simiao1, 2, ZHU Longxiang1, 2, LIAN Qiang1, 2, ZHANG Luteng1, 2, MA Zaiyong1, 2, SUN Wan1, 2, PAN Liangming1, 2

“…A Megawatt-class Advanced Gas-cooled Nuclear System (MAGNUS) was developed featuring a high-temperature gas-cooled reactor coupled with a closed Brayton cycle in this study, establishing a comprehensive mathematical and physical model. …”
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Novel Drug and Nutraceutical Delivery System for the Treatment of Inflammatory Bowel Disease by Aoife Murtagh, Clement Higginbotham, Patricia Heavey

“…Therefore, the aim of the present work was to develop a novel pH-sensitive drug and nutraceutical delivery system featuring microspheres embedded in a hydrogel. Methods: Polylactic acid–polyethylene glycol microspheres loaded with dexamethasone (0.8 wt%) and curcumin (0.8 wt%) were synthesised using an emulsion solvent evaporation method. pH-sensitive polyethylene glycol dimethacrylate-co-acrylic acid hydrogels (46.6% and 33.3%, respectively) were synthesised with water (20%) by UV-photopolymerisation. …”
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Carboxyethylsilanetriol-Functionalized Al-MIL-53-Supported Palladium Catalyst for Enhancing Suzuki–Miyaura Cross-Coupling Reaction by Yucang Liang, Xin Ning, Yanzhong Zhen

“…The structure, composition, morphology, pore feature, and stability were characterized by XRD, different spectroscopies, electron microscopy, N₂ physisorption, and thermogravimetric analysis. …”
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Participant experiences in HIV cure-directed trial with an extended analytical treatment interruption in Philadelphia, United States by Andrea Bilger, Eion Plenn, Frances K. Barg, Katharine A. Rendle, William B. Carter, Andrea Lamour-Harrington, Nora Jones, Beth Peterson, John A. Sauceda, Pablo Tebas, Karam Mounzer, David Metzger, Luis J. Montaner, Karine Dubé

“…Background A feature of HIV cure trials is the need to interrupt treatment to test the efficacy of experimental interventions—a process known as analytical treatment interruptions (ATIs). …”
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Variability of Material Solutions for the Perimeter Walls of Buildings in Post-Industrial Settlements as Part of Energy Rehabilitation and Achieving Carbon Neutrality by Hamed Afsoosbiria, Darja Kubečková, Oskar Kambole Musenda, Khaled Mohamed

“…Further benefits include reduced structural dead load, with the conventional and proposed walls being 3.70 times lighter per square meter than traditional walls. …”
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Modelling district heating demand: A synthetic dataset for two residential neighbourhoodsZenodo by Katia Ritosa, Ina De Jaeger, Dirk Saelens, Staf Roels

“…For all system designs, production efficiency varied with the load ratio. Urban-scale simulations were carried out at 10-minute frequency using weather data for Heverlee, Belgium, from the year 2016.The primary objective of this dataset was to support the development of statistical tools for characterizing the heat transfer coefficient of building envelopes. …”
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AI-enhanced automation of building energy optimization using a hybrid stacked model and genetic algorithms: Experiments with seven machine learning techniques and a deep neural net... by Mohammad H. Mehraban, Samad ME Sepasgozar, Alireza Ghomimoghadam, Behrouz Zafari

“…It was further evaluated on unseen data from diverse UK cities without retraining, confirming its predictive power across varying climatic conditions. Feature importance analysis revealed that occupant behaviour and infiltration play the most significant role in energy performance, surpassing structural and building envelope characteristics.This paper’s contributions lie in the workflow designed for automating selected tasks, the AI-driven optimization framework, and the robust hybrid modeling approach, offering novel tools for energy-efficient building design and retrofitting. …”
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