Predicting time-to-first cancer diagnosis across multiple cancer types by Kien Lau, Gregory R. Hart, Jun Deng

“…Abstract Cancer causes over 10 million deaths annually worldwide, with 40.5% of Americans expected to be diagnosed in their lifetime. Early detection is critical; for liver cancer, survival rates improve from 4 to 37% when caught early. …”
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Balneotherapy for the treatment of post-COVID syndrome: a randomized controlled trial by Diana Ovejero, Anna Ribes, Judit Villar-García, Marta Trenchs-Rodriguez, Daniel Lopez, Xavier Nogués, Robert Güerri-Fernandez, Natalia Garcia-Giralt

“…After BT, significant improvement was detected in the BT group vs. the control group in various SF-36 domains, PSQI total score (Beta-coefficient [95%CI] 2.641 [1.15;4.12]; p -value = 0.003), HAD’s anxiety subscale (Beta-coefficient [95%CI] 1.72 [0.40;3.03;p-value = 0.023), and VAS (Beta-coefficient [95%CI] 1.625 [0.32;2.96]; p-value = 0.026). …”
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Extracting road maps from high-resolution satellite imagery using refined DSE-LinkNet by Prativa Das, Satish Chand

“…To address the imbalanced class distribution problem, a new aggregate loss function is proposed by integrating binary cross-entropy, Jaccard coefficient, and Lovasz sigmoid loss functions. The experiments are performed on a publicly available dataset, DeepGlobe Road Extraction Challenge 2018, to show its efficacy over the D-LinkNet, winner of DeepGlobe Challenge 2018, by achieving IoU of 0.69 with lesser number of parameters and better computational complexity.…”
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基于数字图像比色法的食用油酸价检测研究Determination of acid value of edible oil by digital image colorimetry-based method by 李跃凡1，马改琴1，王媛媛1，张帆2，于修烛1LI Yuefan1, MA Gaiqin1, WANG Yuanyuan1, ZHANG Fan2, YU Xiuzhu1

“…综上，数字图像比色法简单、便捷，可用于食用油酸价的检测。 Aiming to detect the acid value of edible oil simply and conveniently, a method based on digital image colorimetry for the detection of acid value of edible oil was established. …”
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Development of Coated Graphite and Wire Electrodes for Methyldopa Determination in Pharmaceutical and Pure Products by Hasan Amer, Omar Salih Hassan

“…The limit of detection of 1.4×10-6 M and a Nernstian slope of 57.12 mV/decade, Electrode B showed linearity over the range of concentrations of 4.0×10-8 to 1.0×10-2 .Methyldopa (MeD) exhibited a good selectivity over a wide range of inorganic cations, starch, and glucose, according to selectivity coefficients calculated using the separate solution method (SSM). …”
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Enhancing brain age estimation under uncertainty: A spectral-normalized neural gaussian process approach utilizing 2.5D slicing by Zeqiang Linli, Xingcheng Liang, Zhenhua Zhang, Kang Hu, Shuixia Guo

“…Here, we introduced Spectral-normalized Neural Gaussian Process (SNGP) accompanied by 2.5D slice approach for seamless uncertainty integration in a single network with low computational expenses, and extra dimensional data integration without added model complexity. Subsequently, we compared different deep learning methods for estimating brain age uncertainty via the Pearson correlation coefficient, a metric that helps circumvent systematic underestimation of uncertainty during training. …”
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Veteran and first responder family members show distinct mental health networks centered on negative emotions by Johannes A. Karl, Warren N. Ponder, Jose Carbajal, Oleg N. Medvedev

“…The identification of six distinct symptom communities suggests that traditional diagnostic boundaries may not fully capture the complexity of psychological distress in this population. …”
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Soil Organic Matter Content Prediction Using Multi-Input Convolutional Neural Network Based on Multi-Source Information Fusion by Li Guo, Qin Gao, Mengyi Zhang, Panting Cheng, Peng He, Lujun Li, Dong Ding, Changcheng Liu, Francis Collins Muga, Masroor Kamal, Jiangtao Qi

“…Soil organic matter (SOM) content is a key indicator for assessing soil health, carbon cycling, and soil degradation. Traditional SOM detection methods are complex and time-consuming and do not meet the modern agricultural demand for rapid, non-destructive analysis. …”
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Hearing vocals to recognize schizophrenia: speech discriminant analysis with fusion of emotions and features based on deep learning by Jie Huang, Yanli Zhao, Zhanxiao Tian, Wei Qu, Xia Du, Jie Zhang, Meng Zhang, Yunlong Tan, Zhiren Wang, Shuping Tan

“…Abstract Background and objective Accurate detection of schizophrenia poses a grand challenge as a complex and heterogeneous mental disorder. …”
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THE TERM COMBINATION AND THE METAPHOR IN THE OFFICIAL BUSINESS DOCUMENT: COGNITIVE ASPECT by Yuliya I. Demyanchuk.

“…The sampling included the following phrases used to denote: 1) nuclear-powered rocket weapons system: nuclear cruise missile submarine; wire guarded missile; nuclear-powered ballistic missile submarine; rocket-assisted projectile; 2) radio-electronic and other technical tools: artillery radar complex; beam rider guidance; uninterruptible – power supply; laser range finder; ambush detection device; on-board electronic computer system; 3) reorganization of ground forces and senior management units: paramilitary mining rescue unit; logistics operations center; emergency unit; 4) change of some fundamental provisions (doctrines) in tactics and operational art: nuclear detonation detection; electronic countermeasures; protection of safety information. …”
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Bottom Trawling and Multi‐Marker eDNA Metabarcoding Surveys Reveal Highly Diverse Vertebrate and Crustacean Communities: A Case Study in an Urbanized Subtropical Estuary by Jack Chi‐Ho Ip, Hai‐Xin Loke, Sam King Fung Yiu, Meihong Zhao, Yixuan Li, Yitao Lin, Chun‐Ming How, Jiezhang Mo, Meng Yan, Jinping Cheng, Vincent Chi‐Sing Lai, Leo Lai Chan, Kenneth Mei Yee Leung, Jian‐Wen Qiu

“…Furthermore, there was a positive correlation between eDNA read counts and trawl catch, but their correlation coefficient was low. We conclude that eDNA metabarcoding can provide high‐resolution detection of species, composition, and unravel community–environment relationships in estuarine ecosystems. …”
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Comparing Raman and NanoSIMS for heavy water labeling of single cells by George A. Schaible, John B. Cliff, Jennifer A. Crandall, Jeremy J. Bougoure, Michael N. Mathuri, Alex L. Sessions, Joseph Atwood, Roland Hatzenpichler

“…ABSTRACT Stable isotope probing (SIP) experiments in conjunction with Raman microspectroscopy (Raman) or nano-scale secondary ion mass spectrometry (NanoSIMS) are frequently used to explore single cell metabolic activity in pure cultures as well as complex microbiomes. Despite the increasing popularity of these techniques, the comparability of isotope incorporation measurements using both Raman and NanoSIMS directly on the same cell remains largely unexplored. …”
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PIDLF+: A Novel Adaptive PIDLF for Forestry Height Mapping Based on Single-Baseline PolInSAR Data by Dandan Li, Hailiang Lu, Mercedes E. Paoletti, Juan M. Haut, Juntao Gu, Chao Li, Weipeng Jing

“…Nevertheless, due to the complex terrain of forest areas, it is difficult to ensure the inversion accuracy when training in a specific forested scene and then applying it to other areas. …”
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A robust and efficient approach to estimating the age of secondary mangrove forests employing time-series Landsat images and the CCDC model by Yue Zhang, Xiaoyan Li, Rong Zhang, Lina Cheng, Mingming Jia, Chuanpeng Zhao, Xianxian Guo, Haihang Zeng, Wensen Yu, Qian Shi, Zongming Wang

“…However, reliably determining mangrove forest age using remote sensing has been hindered by the complex dynamics of intertidal environments. To overcome these challenges, we developed a robust and efficient approach for estimating the age of secondary mangrove forests (ASMF) by integrating Landsat time-series data and the Continuous Change Detection and Classification (CCDC) algorithm. …”
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Metabolomic Biomarkers Differentiate Soy Sauce Freshness under Conditions of Accelerated Storage by Thiruchelvi R. Reddy, Katherine A. Overmyer, Joshua J. Coon, MaryAnne Drake, Taro Horiba, Scott A. Rankin

“…We present a metabolomic approach for the analysis of complex food systems capable of differentiating a quantifiable extrinsic variable, which is, in this case, storage time with a correlation coefficient of 0.99. …”
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A Hybrid Deep Learning Framework for Accurate Cell Segmentation in Whole Slide Images Using YOLOv11, StarDist, and SAM2 by Julius Bamwenda, Mehmet Siraç Özerdem, Orhan Ayyıldız, Veysı Akpolat

“…Accurate segmentation of cellular structures in whole slide images (WSIs) is essential for quantitative analysis in computational pathology. However, the complexity and scale of WSIs present significant challenges for conventional segmentation methods. …”
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A Comparative Analysis of IMUs and Optical Systems in Layup Shot Biomechanics by Nuha Alkhalaf, Matthew T. G. Pain, Michael J. Hiley

“…The purpose of this study was to assess the validity and reliability of an inertial measurement unit (IMU) system against an optical motion capture system in detecting motion in the dynamically complex and constraint-governed task of the basketball layup shot. …”
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Leveraging FastViT based knowledge distillation with EfficientNet-B0 for diabetic retinopathy severity classification by Jyotirmayee Rautaray, Ali B.M. Ali, Meenakshi Kandpal, Pranati Mishra, Rzgar Farooq Rashid, Farzona Alimova, Mohamed Kallel, Nadia Batool

“…These results demonstrate its effectiveness as an optimized lightweight model for DR detection. The findings emphasize the potential of KD-based lightweight models in attaining high diagnostic accuracy while reducing computational complexity, paving the way for scalable and cost-effective DR screening solutions.…”
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Development and validation of a green/blue UHPLC-MS/MS method for trace pharmaceutical monitoring by Marta Koziarska, Magdalena Strzebońska, Ewa Szalińska

“…The limits of detection were 300 ng/L for caffeine, 200 ng/L for ibuprofen, and 100 ng/L for carbamazepine, respectively. …”
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Predicting the Likelihood of Operational Risk Occurrence in the Banking Industry Using Machine Learning Algorithms by Hamed Naderi, Mohammad Ali Rastegar Sorkhe, Bakhtiar Ostadi, Mehrdad Kargari

“…Machine learning models can process complex datasets, identify hidden patterns, and facilitate early risk detection, enabling banks to implement preventive measures before risks materialize. …”
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