Acute Respiratory Distress Identification via Multi-Modality Using Deep Learning by Wajahat Nawaz, Kevin Albert, Philippe Jouvet, Rita Noumeir

“…This process is subjective, labor-intensive, and prone to human error, making it unsuitable for continuous monitoring and early detection of deterioration. …”
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StegGPT: A Novel Foundation-Model-Based Character-Level Linguistic Steganography Method Utilizing Large Language Models by Omer Farooq Ahmed Adeeb, Seyed Jahanshah Kabudian

“…Conventional methodologies for obfuscating data within textual covers exhibit inherent limitations and susceptibility to detection. The primary objective of this investigation is to devise an algorithm that not only ensures secure transmission of information, but also proficiently conceals it from unauthorized access and detection. …”
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Assessing Atopic Dermatitis Control in Chinese Patients: Validation of the Chinese Version of Recap of Atopic Eczema Questionnaire (RECAP) and an Investigation into Its Interpretab... by Junfen Zhang, Shunmin Zhu, Liyan Yuan, Xiaoling Yu, Shiqi Ling, Jiao Zhang, Bin Yang

“…Construct validity was evaluated through hypothesis testing, while reliability was assessed using standard error of measurement (SEMagreement) and intraclass correlation coefficient (ICCagreement). …”
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Nitrate Nitrogen Quantification via Ultraviolet Absorbance: A Case Study in Agricultural and Horticultural Regions in Central China by Yiheng Zang, Jing Chen, Muhammad Awais, Mukhtar Iderawumi Abdulraheem, Moshood Abiodun Yusuff, Kuan Geng, Yongqi Chen, Yani Xiong, Linze Li, Yanyan Zhang, Vijaya Raghavan, Jiandong Hu, Junfeng Wu, Guoqing Zhao

“…Compared to the national standard and flow analysis methods, the average relative errors were 19.7% and 22.3% (<i>p</i> < 0.001), respectively, indicating its suitability for practical soil applications. …”
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Chemical genetic inhibition of Mps1 in stable human cell lines reveals novel aspects of Mps1 function in mitosis. by Tale Sliedrecht, Chao Zhang, Kevan M Shokat, Geert J P L Kops

“…Timed inhibition during bipolar spindle assembly shows that Mps1 is critical for attachment error-correction and confirms its role in Aurora B regulation. …”
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Evaluating Clonal Expansion of HIV-Infected Cells: Optimization of PCR Strategies to Predict Clonality. by Sarah B Laskey, Christopher W Pohlmeyer, Katherine M Bruner, Robert F Siliciano

“…Because the HIV-1 replication process is highly error-prone, the detection of identical viral genomes in distinct host cells provides evidence for the clonal expansion of infected cells. …”
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Smooth-pursuit performance during eye-typing from memory indicates mental fatigue by Tanya Bafna-Rührer, Per Bækgaard, John Paulin Hansen

“…The findings exhibit the feasibility of mental fatigue detection using smooth-pursuit movements during an eye-interactive task of eye-typing. …”
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Short-horizon neonatal seizure prediction using EEG-based deep learning. by Jonathan Kim, Edilberto Amorim, Vikram R Rao, Hannah C Glass, Danilo Bernardo

“…Model calibration was moderate, with an expected calibration error of 0.106. These findings establish the feasibility of short-horizon neonatal seizure prediction and warrant the need for further validation.…”
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Comparative Analysis of Oversampling and SMOTEENN Techniques in Machine Learning Algorithms for Breast Cancer Prediction by Tri Yulian, Erliyan Redy Susanto

“…SVM proved more effective in identifying both classes with minimal error, particularly when combined with oversampling. …”
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Integrating temporal convolutional networks with metaheuristic optimization for accurate software defect prediction. by Ahmed Abdelaziz, Alia Nabil Mahmoud, Vitor Santos, Mario M Freire

“…Two models are proposed to address the research problem: (a) a basic TCN without parameter optimization and (b) a hybrid model integrating TCN with ALO. The findings demonstrate that the hybrid model significantly outperforms the basic TCN in multiple performance metrics, including area under the curve, sensitivity, specificity, accuracy, and error rate. …”
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Process-driven strength enhancement and progressive damage analysis of three-dimensional woven composites traction rods by Hao Huang, Zhongde Shan, Yanming Xing, Zitong Guo, Chunguang Yang, Jianhua Liu, Zheng Sun, Xiaohui Ao, Dong Wang, Chenchen Tan, Weihao Wang, Juncheng Luo

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Concordance in diagnostic testing for respiratory pathogens of bighorn sheep by Daniel P. Walsh, E. Frances Cassirer, Michael D. Bonds, Daniel R. Brown, William H. Edwards, Glen C. Weiser, Mark L. Drew, Robert E. Briggs, Karen A. Fox, Michael W. Miller, Sudarvili Shanthalingam, Subramaniam Srikumaran, Thomas E. Besser

“…Results of diagnostic testing may also be called into question when investigators report different etiologies for disease outbreaks, despite similar clinical and pathologic findings. To evaluate reliability of diagnostic testing for respiratory pathogens of bighorn sheep (Ovis canadensis), we conducted a series of ring tests across 6 laboratories routinely involved in detection of Mycoplasma ovipneumoniae, Pasteurellaceae, lktA (the Pasteurellaceae gene encoding leukotoxin), and 3 reference laboratories. …”
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The effect of blended learning on tacking technique improvement in preteen sailing by Mohamed Abdelkader Souissi, Linda Toumi, Omar Trabelsi, Ismail Dergaa, Ahmed Ghorbel, Adnene Gharbi, Katja Weiss, Thomas Rosemann, Nizar Souissi, Beat Knechtle

“…Evaluations focused on (i) tacking technique, rated by three sailing coaches, (ii) execution time measured using Kinovea software, and (iii) theoretical knowledge, assessed through a test involving error detection in a novice’s video. Statistical analyses revealed that the BLIV group demonstrated significant improvements at T1 in technical performance (p < 0.001, Hedges’ g = 2.71), execution time (p = 0.006, Hedges’ g = 1.14), and theoretical knowledge (p < 0.001, Hedges’ g = 1.98), outperforming the BLI and CONT groups in tacking performance. …”
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Follow your “gut”—calling for colonoscopy in patients with upper gastrointestinal adenomas: a systematic review and meta-analysis by Hanyuan Xu, Kai Song, Yuelun Zhang, Chengzhen Lyu, Kun He, Wangyang Chen, Wei Chen, Dong Wu

“…Background: Early detection and removal of adenomas through colonoscopy significantly reduces colorectal cancer (CRC) incidence and mortality. …”
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Automated Extraction of Pipe Geometry Using SAM for Mixed Reality Inspection Tasks by S. Einizinab, S. Einizinab, K. Khoshelham, K. Khoshelham, S. Winter, P. Christopher, P. Christopher

“…The results indicate that the use of five-point prompts in a uniform distribution achieves approximately 90% precision and recall for pipe segmentation, with median position and diameter errors of 33 mm and 10 mm, respectively. The findings highlight the ability of the MR system to achieve accurate pipe positioning and diameter estimation, particularly in pipe networks with moderate complexity and fewer thin pipes, where segmentation and measurement challenges are minimized.…”
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Leveraging Open-Source Tools to Analyse Ground-Based Forest LiDAR Data in South Australian Forests by Spencer O’Keeffe, Bruce H. Thomas, Jim O’Hehir, Jan Rombouts, Michelle Balasso, Andrew Cunningham

“…Results showed that stratified tool selection, optimized for each forest development stage, achieved high accuracy for inventory, achieving stem detection rates up to 99.1% and errors as low as 0.94 m for height and 1.18 cm for diameter at breast height (DBH) in specific cases. …”
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Revisiting the Chemical Composition of WD 1145+017: Impact of Circumstellar Disk Contamination on Photospheric Abundances by Érika Le Bourdais, Patrick Dufour, Siyi Xu

“…At 16 elements, WD 1145+017 ties GD 362 as one of the most polluted white dwarfs in terms of the number of elements detected. We find that both the disk and photosphere compositions align, to first order, with CI Chondrite. …”
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Prevalence and correlates of microalbuminuria in high-risk persons with hypertension, diabetes, or HIV at a tertiary hospital in Zambia. by Luyando Mutelo, Cornelius Simutanda, Lweendo Muchaili, Bislom C Mweene, Situmbeko Liweleya, Sydney Mulamfu, Gift C Chama, Lukundo Siame, Benson M Hamooya, Sepiso K Masenga

“…Sample size was calculated using the formula for a single proportion (expected prevalence: 30%, margin of error: 5%, 95% CI), yielding 323; we recruited 306 due to logistical constraints. …”
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Forecasting Foodborne Disease Risk Caused by <i>Vibrio parahaemolyticus</i> Using a SARIMAX Model Incorporating Sea Surface Environmental and Climate Factors: Implications for Seaf... by Rong Ma, Ting Liu, Lei Fang, Jiang Chen, Shenjun Yao, Hui Lei, Yu Song

“…The SARIMAX model, which incorporates both marine and climatic factors, was developed to facilitate short-term forecasts of <i>V. parahaemolyticus</i> detection rates in coastal cities. The model’s performance was evaluated, and the actual values consistently fell within the 95% confidence interval of the predicted values, with a mean absolute error (<i>MAE</i>) of 0.047, indicating high accuracy. …”
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Mobile-AI-Based Docent System: Navigation and Localization for Visually Impaired Gallery Visitors by Hyeyoung An, Woojin Park, Philip Liu, Soochang Park

“…The system further refines positioning by analyzing movement history and direction to minimize navigation errors. By intelligently modulating audio content based on user movement—whether passing by, approaching for more details, or leaving mid-description—the system offers personalized, context-sensitive interpretations while eliminating unnecessary audio clutter. …”
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