Effective Dose Estimation in Computed Tomography by Machine Learning by Matteo Ferrante, Paolo De Marco, Osvaldo Rampado, Laura Gianusso, Daniela Origgi

“…Mean absolute error (MAE, mean absolute percentage error (MAPE), and R² were used to evaluate predictions in the test set and in an external dataset of 3800 acquisitions. …”
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Global gene expression profiling reveals SPINK1 as a potential hepatocellular carcinoma marker. by Aileen Marshall, Margus Lukk, Claudia Kutter, Susan Davies, Graeme Alexander, Duncan T Odom

“…<h4>Conclusion</h4>HCC, arising from diverse backgrounds, uniformly over-express a small set of genes. SPINK1, a secretory trypsin inhibitor, demonstrated potential as a diagnostic HCC marker and should be evaluated in future studies.…”
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STATISTICAL PROCESSING OF RESULTS OF TESTING OF STUDENTS by Yulia V. Gumennikova, Elena N. Ryabinova, Ruzilya N. Chernitsina

“…Provides statistical analysis of the results of testing of students involved in the experiment conducted by the Department of Higher Mathematics at the Samara State University of Railways, since the resulting test data (rates of assimilation of educational information), which are taken as random variables are a set of numbers, which is difficult to detect any pattern of change (variation). …”
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Joint prevalence of diabetes, impaired glucose regulation, cardiovascular disease risk and chronic kidney disease in South Asians and White Europeans. by Kamlesh Khunti, Danielle H Morris, Claire L Weston, Laura J Gray, David R Webb, Melanie J Davies

“…<h4>Methods</h4>Cross-sectional data were analysed for 3707 participants (23.6% South Asian) in a screening study set in Leicestershire, UK. …”
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Relationship between the updated oxygen reserve index and arterial partial pressure of oxygen: a prospective observational study by Hidemi Ishido, Keisuke Yoshida, Tsuyoshi Isosu, Shinju Obara, Satoki Inoue

“…The relationship between ORi and PaO2 was then investigated using the data obtained. Results Seventy-six datasets from the 20 patients were analyzed. …”
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Breast thermography: a systematic review and meta-analysis by Ane Goñi-Arana, Jorge Pérez-Martín, Francisco Javier Díez

“…We limited our selection to studies that reported the sensitivity and specificity of breast thermography (or the data needed to calculate them) using images collected by themselves, with at least five breast cancer cases. …”
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Analysis of ship emission effects on clouds over the southeastern Atlantic using geostationary satellite observations by N. Benas, J. F. Meirink, R. Roebeling, M. Stengel

“…Based on CLAAS-3, the 20-year (2004–2023) CLoud property dAtA set using SEVIRI (the geostationary Spinning Enhanced Visible and InfraRed Imager), the diurnal, seasonal and long-term corridor effects on clouds are examined. …”
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Exploration of Biomarkers of Psoriasis through Combined Multiomics Analysis by Lu Xing, Tao Wu, Li Yu, Nian Zhou, Zhao Zhang, Yunjing Pu, Jinnan Wu, Hong Shu

“…The combined transcriptomic and DNA methylation data resulted in 33 differentially expressed methylated genes, of which GJB2 was the final identified hub gene for psoriasis, with robust diagnostic power. …”
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A high-throughput ResNet CNN approach for automated grapevine leaf hair quantification by Nagarjun Malagol, Tanuj Rao, Anna Werner, Reinhard Töpfer, Ludger Hausmann

“…Furthermore, a panel of 16 novice evaluators produced significant bias on set of varieties. Our results provide clear evidence of the need for an objective and accurate tool to quantify leaf hairiness.…”
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N-glycans in lung tissue specimens: a prospective target for enhanced cancer diagnosis and prognosis by Erika Lattova, Jana Skrickova, Jitka Hausnerova, Karolina Krystofova, Zbynek Zdrahal, Leos Kren, Mikulas Popovic

“…Despite the high heterogeneity in profiles, two main groups of not detected glycans in peritumoral tissues, considered as controls, were observed to correlate with cancer progression in patients. …”
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Bioinformatic Characterization of the Functional and Structural Effect of Single Nucleotide Mutations in Patients with High-Grade Glioma by Sara Vélez Gómez, Juliana María Martínez Garro, León Darío Ortiz Gómez, Jorge Emilio Salazar Flórez, Fernando P. Monroy, Ronald Guillermo Peláez Sánchez

“…Both genes are related to the development of high-grade gliomas. All the data obtained in this study must be validated through experimental approaches.…”
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Lowering the Hit Latencies of Low Voltage Caches Based on the Cross-Sensing Timing Speculation SRAM by Ming Ling, Xiaojing Shang, Shan Shen, Tianxiang Shao, Jun Yang

“…In addition, RRS caches swap the frequently reused data to the error-free cachelines to further reduce the average access latency and the energy consumption by an optimized filling/replacement policy. …”
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Ambient seismic noise imaging of a tailings dam internal structure by Thulisile Kunjwa, Moctar Doucouré

“…This technique could prove valuable in detecting potential instabilities before they reach a critical stage. …”
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A safety review and meta-analyses of bevacizumab and ranibizumab: off-label versus goldstandard. by Christine Schmucker, Christoph Ehlken, Hansjuergen T Agostini, Gerd Antes, Gerta Ruecker, Monika Lelgemann, Yoon K Loke

“…<h4>Background</h4>We set out a systemic review to evaluate whether off-label bevacizumab is as safe as licensed ranibizumab, and whether bevacizumab can be justifiably offered to patients as a treatment for age-related macular degeneration with robust evidence of no differential risk.…”
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Sort & Slice: a simple and superior alternative to hash-based folding for extended-connectivity fingerprints by Markus Dablander, Thierry Hanser, Renaud Lambiotte, Garrett M. Morris

“…Atom features learned by graph neural networks can be aggregated to compound-level representations using a large spectrum of graph pooling methods. In contrast, sets of detected ECFP substructures are by default transformed into bit vectors using only a simple hash-based folding procedure. …”
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<i>PCLO</i> Is Associated with Tumor Mutational Burden and Immunity in Patients with Oral Squamous Cell Carcinoma by Yuping Liu, Ye Zhang, Lijing Zhu, Zheng Zhou, Yajuan Cui, Heyu Zhang, Chuanxiang Zhou

“…To determine predictive biomarkers for prognosis by analyzing the association between tumor mutational burden (TMB) and mutant genes in patients with oral squamous cell carcinoma (OSCC) and to validate <i>PCLO</i> as an OSCC predictive biomarker, OSCC genetic mutation data were downloaded from The Cancer Genome Atlas (TCGA) and the International Cancer Genome Consortium (ICGC) database. …”
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Functional heterogeneity of embryonic stem cells revealed through translational amplification of an early endodermal transcript. by Maurice A Canham, Alexei A Sharov, Minoru S H Ko, Joshua M Brickman

“…Most strikingly when introduced back into morulae or blastocysts, the V(+)S(+) population is not effective at contributing to the epiblast and can contribute to the extra-embryonic visceral and parietal endoderm, while the V(-)S(+) population generates high contribution chimeras. Taken together our data support a model in which ES cell culture has trapped a set of interconvertible cell states reminiscent of the early stages in blastocyst differentiation that may exist only transiently in the early embryo.…”
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Explainable brain age prediction: a comparative evaluation of morphometric and deep learning pipelines by Maria Luigia Natalia De Bonis, Giuseppe Fasano, Angela Lombardi, Carmelo Ardito, Antonio Ferrara, Eugenio Di Sciascio, Tommaso Di Noia

“…Abstract Brain age, a biomarker reflecting brain health relative to chronological age, is increasingly used in neuroimaging to detect early signs of neurodegenerative diseases and support personalized treatment plans. …”
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Industrial noise: impacts on workers’ health and performance below permissible limits by Özge Gedik Toker, Nida Tas Elibol, Elif Kuru, Zeynep Görmezoğlu, Ali Görener, Kerem Toker

“…Furthermore, no correlation was detected between work stress and work performance. …”
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ZTCloudGuard: Zero Trust Context-Aware Access Management Framework to Avoid Medical Errors in the Era of Generative AI and Cloud-Based Health Information Ecosystems by Khalid Al-hammuri, Fayez Gebali, Awos Kanan

“…The advantage of this method is that it applies to any language and adapts to all attributes, as it relies on a language model, not just a set of predefined and limited attributes. The results show a high <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>F</mi><mn>1</mn></mrow></semantics></math></inline-formula> score of 93.5%, which proves that it is valid for detecting medical errors.…”
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