Tailored silane based sorbent coatings for compact atmospheric water harvesting devices by Nathan Ortiz, Sameer Rao

“…Silane is used as a binding agent to adhere zeolite powder (AQSOA Z02) to thin aluminum sheets to provide a structurally sound and volumetrically dense method of packaging the sorbent while maintaining extremely fast sorption kinetics. …”
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Towards accurate food safety risks prediction via context-enhanced heterogeneous GNN by Ying Tang, Yu Han, Weihua Zhou

“…Accurate prediction of food safety risks is crucial for protecting public health and optimizing regulatory processes. This study investigates the context-enhanced heterogeneous graph neural network (HGNN) to address the complexity of risk prediction. …”
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Dynamic Large-Scale Server Scheduling for IVF Queuing Network in Cloud Healthcare System by Yafei Li, Hongfeng Wang, Li Li, Yaping Fu

“…The experimental results show that the optimal service rule of each server’s queue obtained by the RL method is significantly superior to the traditional service rule.…”
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Exploring visitor perception and environmental element relationships in rock carving landscapes through random forest analysis. by Wenxue Liu, Huan Li, Hao Sun, Qiaoyun Sun, Yishu Xia

“…However, existing studies primarily focus on evaluating the artistic value of rock carvings while overlooking the influence of the environment on visitor experience. …”
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Hybrid Approach for WDM Network Restoration: Deep Reinforcement Learning and Graph Neural Networks by Isaac Ampratwum, Amiya Nayak

“…This article presents a hybrid framework that integrates Deep Reinforcement Learning (DRL) and Graph Neural Networks (GNN) to optimize WDM network restoration. The proposed method leverages the decision-making capabilities of DRL and the graph-structured learning potential of GNN to dynamically adapt to network disruptions. …”
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In vitro models in drug discovery and development for leishmaniasis: A perspective by Simon L. Croft, Katrien Van Bocxlaer

“…While ILAMs have become a standard in drug discovery, their integration with more complex models and medicinal chemistry remains crucial for progressing toward an effective, short-course, oral treatment for all forms of leishmaniasis.…”
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Characterization and Effect of NaOH/ZnCl2 Chemical Activation on Nickel-Impregnated Activated Carbon for Biofuel by Balqis Ayu Azzahra, Azhari Muhammad Syam, Muhammad Muhammad

“…In these processes, activated carbon was produced by the dehydrogenation process of sugarcane molasses followed by the wet impregnation method using sodium hydroxide (NaOH) and zinc chloride (ZnCl2) activating agents. …”
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Analysis of Friction Torque Characteristics of a Novel Ball–Roller Composite Turntable Bearing by Heng Tian, Weiwang Li, Xiuhua Shao, Zhanli Zhang, Wenhu Zhang

“…To address this issue, a novel ball–roller composite turntable bearing is proposed that effectively reduces friction torque while maintaining a high load capacity. A mechanical model based on statics is established, and the Newton–Raphson method is employed to calculate the contact load. …”
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FALAH-BASED SHARIA VALUE-ADDED: AN ANTITHESIS TO THE CONCEPT OF NET PROFIT by Aji Dedi Mulawarman, Aaiman Siddiqui

“…Second, the Citizenship and Fairness Pillars guide businesses in distributing Sharia Value Added. Third, while the Faith Pillars have been optimally pursued, they face regulatory constraints. …”
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Causes of baseflow variation in an inland river watershed of Northwest China by Mengwei Song, Hailong Liu, Quanlong Wu, Aminjon Gulakhmadov, Firdavs Shaimuradov

“…New hydrological insights for the region: The results demonstrate that the Eckhardt filtering method provides optimal performance for comparative evaluation of baseflow separation in the watershed. …”
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Forest cover and canopy health mapping in Australian subalpine landscape: supervised machine learning models for Sentinel-2 and Landsat images by Weerach Charerntantanakul, Marta Yebra, Hilary Rose Dawson, Adrienne Beth Nicotra, Saul Alan Cunningham, Matthew Theodore Brookhouse

“…Cross-validation experiments were undertaken to optimize the model configurations. Using Sentinel-2 surface reflectance, the best forest masking model was SVM (OA = 0.849 ± 0.003), while MLR performed best for canopy condition (r2 = 0.73 ± 0.07). …”
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A Clinically Interpretable Approach for Early Detection of Autism Using Machine Learning With Explainable AI by Oishi Jyoti, Hafsa Binte Kibria, Zareen Tasnim Pear, Md Nahiduzzaman, Md. Faysal Ahamed, Khandaker Reajul Islam, Jaya Kumar, Muhammad E. H. Chowdhury

“…This study focuses on optimizing and comparing various machine learning models for ASD diagnosis, while incorporating explainable AI techniques to ensure model transparency and interpretability. …”
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Spatio-temporal scale evaluation of landscape visual quality in urban near-natural plant communities: A nomogram visualization approach by Dong Dong, Mingxin Chen, Xin Wen, Qing Li, Tieqiao Xiao, Fengquan Ji

“…Logistic regression was used for indicator analysis, while nomograms were employed to illustrate relationships between key factors and LVQ. …”
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Impact of artemether–lumefantrine treatment, circadian rhythm, and serum replacement on the infectiousness of wild Plasmodium falciparum gametocytes to Anopheles gambiae sensu stri... by Dorin Joachim Mmasi, Dorin Joachim Mmasi, Prisca Kweyamba, Prisca Kweyamba, Prisca Kweyamba, Fatuma Matwewe, Masudi Suleiman Maasayi, Nolvin J. Mvungi, Nolvin J. Mvungi, Ummi Abdul Kibondo, Tibebu Habtewold, Tibebu Habtewold, Jennifer C. Stevenson, Jennifer C. Stevenson, Jennifer C. Stevenson, Lorenz Martin Hofer, Lorenz Martin Hofer, Lorenz Martin Hofer, Sarah Jane Moore, Sarah Jane Moore, Sarah Jane Moore, Sarah Jane Moore, Mgeni M. Tambwe, Mgeni M. Tambwe

“…This study aimed at optimizing DMFA through assessing the following 1) artemether–lumefantrine treatment 2) mosquito feeding time and 3) serum replacement on gametocyte infectiousness to mosquitoes in a low malaria transmission settingMethodsSix gametocytemic carriers were found to be eligible, from whom 4 mL of venous blood was drawn. …”
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Effects of ambient lighting conditions on the scanning accuracy and shade matching capability of intraoral scanners: an in vitro study by Yongqing Guo, Yun Ma, Zien Wang, Hao Yu

“…However, research on the optimal levels of both illuminance and color temperature for the scanning accuracy and shade matching capability of intraoral scanners (IOSs) remains limited. …”
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Load Transfer Model Based on Similitude Principle and Numerical Analysis of Reinforcement Effect of Pile Side Compaction Grouting by WANG Yansheng, LI Zhaofeng, ZHANG Ming, LIN Chunjin, LYU Sizhong, YAO Wang

“…It proposed design methods for lateral grouting parameters and conducted load-bearing capacity analysis for silty clay-fine sand formations, achieving reinforcement through grouting in pile foundations within such formations.The main research contents and achievements were as followsConclusionsWhen the length of the reinforced segment is 4 m, the optimal reinforcement effect is achieved when the reinforcement is positioned at a depth ranging from 40% to 90% of the pile length, resulting in a 10.7% to 13.7% increase in bearing capacity. …”
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The impact of cannabis use on ageing and longevity: a systematic review of research insights by Sonam Nain, Niraj Singh, Anne Katrin Schlag, Michael Barnes

“…Cannabinoids derived from cannabis, particularly cannabidiol (CBD) and Δ9-tetrahydrocannabinol (THC), have gained attention for their potential to promote healthy aging through interactions with the endocannabinoid system. While CBD has often been highlighted for its benefits, emerging evidence indicates that THC, under certain conditions and doses, may also play a therapeutic role in aging. …”
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Transition from care experiences of youth aged 13 to 23 living with fetal alcohol spectrum disorder in Canada: A scoping review by Michele L. Palk, Christine Wekerle

“…In 2023, Ontario mandated child welfare transition planning begin at age 13. While youth are valued decision-maker participants, research on the lived experience of child welfare involved youth living with FASD is a gap. …”
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Deep reinforcement learning model for Multi-Ship collision avoidance decision making design implementation and performance analysis by Rongjun Pan, Wei Zhang, Shijie Wang, Shuhua Kang

“…Our innovation lies in the integration of a comprehensive state representation capturing key inter-ship relationships, a reward function that dynamically balances safety, efficiency, and COLREGs compliance, and an enhanced DQN architecture with dueling networks and double Q-learning specifically optimized for maritime scenarios. Experimental results demonstrate that our approach significantly outperforms state-of-the-art DRL methods, achieving a 30.8% reduction in collision rates compared to recent multi-agent DRL implementations, 20% improvement in safety distances, and enhanced regulatory compliance across diverse scenarios. …”
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Robust Cross-Validation of Predictive Models Used in Credit Default Risk by Jose Vicente Alonso, Lorenzo Escot

“…Model validation is a challenging Machine Learning task, usually more difficult for consumer credit default models because of the availability of small datasets, the modeling of low-frequency events (imbalanced data), and the bias in the explanatory variables induced by the train/test sets split of the validation techniques (covariate shift). While many methodologies have been developed, cross-validation is perhaps the most widely accepted, often being part of the model development process by optimizing the hyperparameters of predictive algorithms. …”
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