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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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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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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Exploring the possibilities and limitations of customized large language model to support and improve cervical cancer screening by Viola Angyal, Ádám Bertalan, Péter Domján, Elek Dinya

“…Females valued guidance on screening schedules and early detection, while males highlighted the usefulness of information regarding HPV vaccination and its role in preventing HPV-related cancers. …”
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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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Inspection of railway catenary systems using machine learning with domain knowledge integration by Kacper Marciniak, Paweł Majewski, Jacek Reiner

“…The application of machine learning methods to this problem is non-trivial, due to various constraints, including the cost of data acquisition. …”
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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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Block encoding bosons by signal processing by Christopher F. Kane, Siddharth Hariprakash, Neel S. Modi, Michael Kreshchuk, Christian W Bauer

“…We also introduce a straightforward approach to BE based on the exact implementation of Linear Operators Via Exponentiation and LCU (LOVE-LCU). We find that, while using QSVT for BE results in the best asymptotic gate count scaling with the number of qubits per site, LOVE-LCU outperforms all other methods for operators acting on up to $\lesssim11$ qubits, highlighting the importance of concrete circuit constructions over mere comparisons of asymptotic scalings. …”
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Effect of tea manufacturing processes and cultivars on tea infusion color by Chung‑Tse Chen, Chin-Ying Yang, Jason T. C. Tzen

“…This study highlights the significant influence of processing methods and tea cultivar on infusion color. Oolong tea processing maintains catechin levels and a lighter color, while black tea processing intensifies theaflavin content and deepens the color. …”
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Quantitative Variables Derived from the Electroencephalographic Signal to Assess Depth of Anaesthesia in Animals: A Narrative Review by Susanne Figueroa, Olivier L. Levionnois, Alessandro Mirra

“…Methodological variability was high, and no consensus emerged on optimal EEG measures across species. While EEG-derived quantitative variables provide valuable insights, their interpretation remains highly context-dependent. …”
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Medium-sized protein language models perform well at transfer learning on realistic datasets by Luiz C. Vieira, Morgan L. Handojo, Claus O. Wilke

“…Abstract Protein language models (pLMs) can offer deep insights into evolutionary and structural properties of proteins. While larger models, such as the 15 billion parameter model ESM-2, promise to capture more complex patterns in sequence space, they also present practical challenges due to their high dimensionality and high computational cost. …”
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Klasifikasi Teks Hadis Bukhari Terjemahan Indonesia Menggunakan Recurrent Convolutional Neural Network (CRNN) by Muhammad Yuslan Abu Bakar, Adiwijaya Adiwijaya

“…While Recurrent Neural Networks are used as a classification method by carrying out capabilities that can be used as very long contextual information specifically on sequential data such as text data by relying on the ‘memory’ it has. …”
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Solid-State Fermentation as a Biotechnological Tool to Reduce Antinutrients and Increase Nutritional Content in Legumes and Cereals for Animal Feed by Andrés Álvarez, Alejandra Rodríguez, Sandra Chaparro, Luis Miguel Borrás, Leidy Y. Rache, Maria H. Brijaldo, José J. Martínez

“…Reducing these ANFs increases the presence of proteins, antioxidants, and vitamins, which is crucial for optimizing animal feed, particularly in developing countries where traditional methods may be costly. …”
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Innovative Treatment of Combat-Related Extraperitoneal Penetrating Rectal Injury with Intraluminal Vacuum Therapy: A Case Report by Yafa Shani Parnasa, Oded Cohen-Arazi, Gad Marom, Mahmoud Abu-Gazala, Noam Shussman, Miklosh Bala

“…While there are limited publications on combat-related penetrating rectal injuries that provide evidence-based guidelines, we suggest an aggressive surgical approach combined with negative pressure wound therapy for optimal patient outcomes.…”
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APPLICATION OF ARTIFICIAL NEURON NETWORK AND FUZZY INFERENCE IN THE HOUSEPLANT WATERING INTELLIGENT SYSTEM by Roman Korostenskyi, Igor Olenych

“…The proposed approach ensures an optimal soil moisture level of 50–60%, suitable for plant growth and development, while also reducing the average monthly water consumption by 25–27%. …”
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A Phase II Clinical Trial of Neoadjuvant Concurrent Chemoradiotherapy for Locally Advanced High-Grade Thymic Tumors by Ning Xu, MD, Changlu Wang, MD, Qin Zhang, MD, Xiuxiu Hao, MD, Teng Mao, MD, Jianxin Shi, MD, Zhitao Gu, MD, Lanting Gao, MD, Yan Shen, MD, Lei Zhu, MD, Xuefei Zhang, MD, Yuan Liu, MD, Wentao Fang, MD

“…Introduction: Optimal management of locally advanced thymic tumors remains controversial. …”
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Screening for abdominal aortic aneurysm in the world and in Russia by T. V. Balakhonova, A. I. Ershova, V. V. Genkel, E. V. Garbuzova, L. Yu. Drozdova, A. V. Svetlikov, R. S. Akchurin, S. A. Shalnova, S. A. Boytsov, O. M. Drapkina

“…The traditional and most optimal screening method is ultrasound examination. …”
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Agent based modeling of energy consuming rights trading for low carbon transformation in China by Feng Han, Xin Li, Xiaohan Bi, Jie Gao, Zihao Cao, Dong Yang, Feng Shi, Yongfei Jia

“…These findings provide valuable insights for optimizing ECRT mechanisms and advancing green, low-carbon economic transformation. …”
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