Compensator-based small animal IMRT enables conformal preclinical dose painting: application to tumor hypoxia by Jordan M. Slagowski, Erik Pearson, Rajit Tummala, Gage Redler, Daniela Olivera Velarde, Boris Epel, Howard J. Halpern, Bulent Aydogan

“…This study demonstrates that SA-IMRT provides significant improvements in radiation plan quality and yields dose distributions that more closely mimic the clinical setting relative to current CRT approaches.…”
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A Questionnaire Dataset on Perceived Stress in Indian Higher Education Students during Emergency Remote Learning [version 1; peer review: 2 approved] by Shweta Rai, Rayan Charls Mathias, Sharisha Shanbhog M, Jeevan Medikonda

“…One-sample t-tests were performed to assess the consistency of responses across questionnaire items, and correlation analysis was conducted to examine the relationships between different stressors. Frequency distributions were also analyzed to capture the prevalence of stress levels across demographic, environmental, and instructional variables. …”
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Optimizing Tumor Detection in Brain MRI with One-Class SVM and Convolutional Neural Network-Based Feature Extraction by Azeddine Mjahad, Alfredo Rosado-Muñoz

“…However, medical imaging datasets frequently exhibit class imbalance, posing significant challenges for traditional classification algorithms that rely on balanced data distributions. To address this issue, this study employs a One-Class Support Vector Machine (OCSVM) trained exclusively on features extracted from healthy brain MRI images, using both deep learning architectures—such as DenseNet121, VGG16, MobileNetV2, InceptionV3, and ResNet50—and classical feature extraction techniques. …”
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Cell-specific α and β subunit expression patterns of Na+/K+-ATPases in the common marmoset cochlea by Makoto Hosoya, Masafumi Ueno, Marie N. Shimanuki, Takanori Nishiyama, Naoki Oishi, Hiroyuki Ozawa

“…This study investigated the distribution of Na+/K+-ATPase in a common marmoset primate model. …”
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Efficient Hybrid DDPG Task Scheduler for HPC and HTC in Cloud Environment by S. Sudheer Mangalampalli, Ganesh Reddy Karri, Sachi Nandan Mohanty, Shahid Ali, Atif M. Alamri, Salman A. Alqahtani

“…Simulations are conducted using Cloudsim with fabricated workload distributions and realtime worklogs. Finally, our proposed Hybrid workload Deep Deterministic Policy Gradient Task scheduler(HDDPGTS) evaluated over DQN, A2C algorithms. …”
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Stochastic sizing and energy management of a hybrid energy system using cloud model and improved Walrus optimizer for China regions by Wenjun Liao, Qing Xiong, Zilong Chen, Jinhui Tan, Pingfei Li, Hadi Gharoei

“…Additionally, the cloud model findings demonstrate how uncertainty distributions impact the system’s operation, with the variation in cloud model droplets on both sides of the expected value reflecting the effects of renewable generation and demand uncertainties. …”
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Efficacy of single vs. multiple botulinum toxin type A injections for trigeminal neuralgia by Ying-ying Xu, Cheng-wei Guo, He-jing Chen, Ji-li Bao, Ying Li, Shu-yang Ma, Qi-lin Zhang, Jing Liu, Wei-feng Luo

“…However, this difference in PGIC distributions between the two treatments was not significant (P = 0.070).ConclusionIn summary, BTX-A treatment was effective in TN. …”
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Patterns of emergency dispatch calls and their changes during the COVID-19 pandemic in Ulaanbaatar, Mongolia by Gantuya Ganbat, Ayoung Kim, Buyanbilig Namnansuren, Suvd Batbaatar, Ho Kim

“…We assessed trends in the number of emergency calls, demographic distributions, and temporal patterns. Comparative analysis was conducted to assess the impact of COVID-19 lockdowns, with a focus on seasonal, weekly, and hourly variations. …”
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Multi-Scale Differentiated Network with Spatial–Spectral Co-Operative Attention for Hyperspectral Image Denoising by Xueli Chang, Xiaodong Wang, Xiaoyu Huang, Meng Yan, Luxiao Cheng

“…However, existing methods suffer from limitations in effectively integrating multi-scale features and adaptively modeling complex noise distributions, making it difficult to construct effective spatial–spectral joint representations. …”
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Autumn Migration to Higher Latitudes in Seminole Bats (Lasiurus seminolus) Redefines Seasonal Ranges: Evidence From Stable Isotopes and Fatality Data From Wind Energy Facilities by Julia R. Wilson, Michael C. True, Caitlin J. Campbell

“…ABSTRACT The linkages between individual migrations and population‐level distributions are essential for understanding ecological dynamics. …”
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Recreational Fisheries Encountering Flagship Species: Current Conditions, Trend Forecasts and Recommendations by Yixin Qian, Jingzhou Liu, Li Liu, Xueming Wang, Jianming Zheng

“…Drawing on over 10,000 fishing Points of Interest recorded between 2015 and 2024 and over 300 verified species occurrences, this study applied a Random Forest model with spatial integration and a Maximum Entropy model to examine estimated current distributions and forecast interactions from 2025 to 2035. …”
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SeagrassFinder: Deep learning for eelgrass detection and coverage estimation in the wild by Jannik Elsäßer, Laura Weihl, Veronika Cheplygina, Lisbeth Tangaa Nielsen

“…Seagrass meadows play a crucial role in marine ecosystems, providing benefits such as carbon sequestration, water quality improvement, and habitat provision. Monitoring the distribution and abundance of seagrass is essential for environmental impact assessments and conservation efforts. …”
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Gray Water Conditions on the Growth of Some Natural Ground Cover Plants and the Water Quality of Plants by Sertaç Kaya, Melek Yılmaz Kaya, Ömer Faruk Çoban, Fatma Turan, Nisa Özgen, Engin Eroğlu

“…In the selection of plants, species naturally distributed in Düzce province, aquatic, riparian, and understory species were preferred. …”
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Deep Neural Network-Based Temperature Mapping Technique for Heat Sink on Electronic Devices Using Local Thermocouple Sensors by Jaehee Shin, Hyun Ahn, Gwang-Hyeon Mun, Jeongmin Lee, Pouria Zaghari, Young-Min Park, Jinhyoung Park, Jong Eun Ryu, Dong-Won Jang

“…Heat generated by electronic devices can lead to thermal deformation, damage, and fatigue failure, underscoring the importance of monitoring heat distribution. This study introduces an artificial neural network using two thermocouples for cost-effective temperature distribution prediction. …”
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A Power Monitor System Cybersecurity Alarm-Tracing Method Based on Knowledge Graph and GCNN by Tianhao Ma, Juan Yu, Binquan Wang, Maosheng Gao, Zhifang Yang, Yajie Li, Mao Fan

“…Current approaches often lack the capability to effectively model complex relationships among alerts and are hindered by imbalanced data distributions, which degrade tracing accuracy. To this end, this paper proposes a power monitor system cybersecurity alarm-tracing method based on the knowledge graph (KG) and graph convolutional neural networks (GCNN). …”
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Research on Link Alignment and Signal Detection Technologies for Cross-water Visible Light Communication by YAN Hongqiang, JIANG Ming

“…【Results】The results show that the fitted eW2A channel model based on Lognormal and Gamma distributions matches well with the channel data generated by Monte Carlo simulations, accurately modeling the cross-water VLC channel. …”
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Evolutionary genetics analysis for complete plastomes and diversification rate estimation of Deutzia and Philadelphus in tribe Philadelpheae (Hydrangeaceae) by Zhilong Huang, Mimi Li, Chuxin Liang, Qin Fan, Wenya Yu, Shu’an Wang, Meixiu Lin, Pan Li, Rongjing Zhang, Wei Gong

“…Remarkable associations were detected between species and their geographic distributions, indicating regional geographic specificity. …”
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Urban building-level positioning using data-driven algorithms enhanced by spatial variations in sensor features by Die Zhang, Xin Liu, Yong Ge, Yixi Wei, Mengxiao Liu

“…For devices identified as indoors, building identification is performed using a Bayesian inference model that incorporates prior knowledge derived from anonymous crowdsourced data, leveraging spatial heterogeneity in sensor feature distributions across candidate buildings. Experiments conducted in three Chinese cities demonstrated that I/O classification achieved over 90% accuracy, and building matching based on crowdsourced data achieved at least 70% precision using only satellite or Wi-Fi features. …”
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Detection of Steel Reinforcement in Concrete Using Active Microwave Thermography and Neural Network-Based Analysis by Barbara Szymanik, Maja Kocoń, Sam Ang Keo, Franck Brachelet, Didier Defer

“…Surface temperature distributions obtained through infrared imaging were compared with model predictions to evaluate detection accuracy. …”
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Health-related quality of life and QALY loss under COVID-19 lockdown: The case of Spain. by Mathieu F Janssen, Kim Rand, Anabel Estévez-Carrillo, Juan Manuel Ramos-Goñi

“…<h4>Results</h4>Comparing the baseline results to the follow-up results shows little change with respect to the distributions of reported problems in any of the 5 dimensions during the follow-up period. …”
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