The Campi Flegrei Blind Test: Evaluating the Imaging Capability of Local Earthquake Tomography in a Volcanic Area by E. Priolo, L. Lovisa, A. Zollo, G. Böhm, L. D'Auria, S. Gautier, F. Gentile, P. Klin, D. Latorre, A. Michelini, T. Vanorio, J. Virieux

“…In order to analyse the potential of the recorded data in terms of tomographic imaging, a blind test was recently set up and carried out in the framework of a research project. …”
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Can machine-learning algorithms improve upon classical palaeoenvironmental reconstruction models? by P. Sun, P. B. Holden, H. J. B. Birks, H. J. B. Birks

“…We considered three versions of the model: (1) a standard version of MEMLM, which uses only taxon abundance data; (2) MEMLMe, which uses only dimensionally reduced assemblage information, using a natural language-processing model (GloVe), to detect associations between taxa across the training data set; and (3) MEMLMc which incorporates both raw taxon abundance and dimensionally reduced summary (GloVe) data. …”
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Liquid biopsy in gynecological cancers: a translational framework from molecular insights to precision oncology and clinical practice by Canio Martinelli, Alfredo Ercoli, Giuseppe Vizzielli, Sharon Raffaella Burk, Maria Cuomo, Vrunda Satasiya, Housem Kacem, Simone Braccia, Giulio Mazzarotti, Irene Miriello, Manuela Nana Tchamou, Stefano Restaino, Martina Arcieri, Alice Poli, Veronica Tius, Silvana Parisi, Stefano Pergolizzi, Giuseppe Iatì, Chiara Conti Nibali, Cristina Pizzimenti, Ludovica Pepe, Antonio Ieni, Salvatore Cortellino, Antonio Giordano

“…Abstract Liquid biopsy offers a noninvasive method to identify and monitor tumor-derived biomarkers, including circulating tumor DNA (ctDNA), circulating tumor cells (CTCs), exosomes, microRNAs, and tumor-educated platelets, that provide real-time insights into the biological behavior of gynecological cancers. The detection of these markers has the potential to revolutionize cancer management by enabling earlier detection, providing novel data to personalize treatments, and predicting disease recurrence before clinical imaging can confirm progression, thereby also guiding complex clinical decision-making. …”
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Comorbidity in adults with traumatic brain injury and all-cause mortality: a systematic review by Angela Colantonio, Tatyana Mollayeva, Michael Escobar, Chen Xiong, Sara Hanafy, Vincy Chan, Zheng Jing Hu, Mitchell Sutton

“…We synthesised the evidence on the effects of different comorbid conditions on early and late mortality post-TBI in order to (1) examine the relationship between comorbid condition(s) and all-cause mortality in TBI and (2) determine the influence of sociodemographic and clinical characteristics of patients with a TBI at baseline on all-cause mortality.Design Systematic review.Data sources Medline, Central, Embase, PsycINFO and bibliographies of identified articles were searched from May 1997 to January 2019.Eligibility criteria for selecting studies Included studies met the following criteria: (1) focused on comorbidity as it related to our outcome of interest in adults (ie, ≥18 years of age) diagnosed with a TBI; (2) comorbidity was detected by any means excluding self-report; (3) reported the proportion of participants without comorbidity and (4) followed participants for any period of time.Data extraction and synthesis Two independent reviewers extracted the data and assessed risk of bias using the Quality in Prognosis Studies tool. …”
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Optimization of energy acquisition system in smart grid based on artificial intelligence and digital twin technology by Zhen Jing, Qing Wang, Zhiru Chen, Tong Cao, Kun Zhang

“…Firstly, a smart grid data transmission framework integrating digital twin technology is proposed. …”
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Development and Validation of a Machine Learning Method Using Vocal Biomarkers for Identifying Frailty in Community-Dwelling Older Adults: Cross-Sectional Study by Taehwan Kim, Jung-Yeon Choi, Myung Jin Ko, Kwang-il Kim

“…These results suggest that speech-based AI models offer a noninvasive, scalable method for frailty detection, potentially streamlining assessments in clinical and community settings.…”
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Drug-induced acute myocardial infarction: identifying 'prime suspects' from electronic healthcare records-based surveillance system. by Preciosa M Coloma, Martijn J Schuemie, Gianluca Trifirò, Laura Furlong, Erik van Mulligen, Anna Bauer-Mehren, Paul Avillach, Jan Kors, Ferran Sanz, Jordi Mestres, José Luis Oliveira, Scott Boyer, Ernst Ahlberg Helgee, Mariam Molokhia, Justin Matthews, David Prieto-Merino, Rosa Gini, Ron Herings, Giampiero Mazzaglia, Gino Picelli, Lorenza Scotti, Lars Pedersen, Johan van der Lei, Miriam Sturkenboom, EU-ADR consortium

“…Routinely collected electronic healthcare data give a good snapshot of how drugs are being used in 'real-world' settings.…”
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Integrating sequencing methods with machine learning for antimicrobial susceptibility testing in pediatric infections: current advances and future insights by Zhuan Zou, Zhuan Zou, Fajuan Tang, Fajuan Tang, Lina Qiao, Lina Qiao, Sisi Wang, Sisi Wang, Haiyang Zhang, Haiyang Zhang

“…Antimicrobial resistance (AMR) presents a critical challenge in clinical settings, particularly among pediatric patients with life-threatening conditions such as sepsis, meningitis, and neonatal infections. …”
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An in-depth Analysis of the Degree of Implementation of Integrated Care for Diabetes in Primary Health Care in Cambodia by Vannarath Te, Sereyraksmey Long, Wim Van Damme, Por Ir, Edwin Wouters, Josefien van Olmen

“…Two raters independently scored each facility on a 0–5 scale based on multiple sources of data and reached a consensus. Discussion: The in-depth analysis showed that the three care initiatives were not implemented in an integrated manner, with low implementation scores (1 or 2 out of 5) in all selected settings. …”
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Breast Cancer Screening Participation and Internet Search Activity in a Japanese Population: Decade-Long Time-Series Study by Noriaki Takahashi, Mutsuhiro Nakao, Tomio Nakayama, Tsutomu Yamazaki

“…However, collecting nationwide data on public attention and activity is not easy. …”
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A comparison of acoustic monitoring methods for common anurans of the northeastern United States by Corinne L. Brauer, Therese M. Donovan, Ruth M. Mickey, Jonathan Katz, Brian R. Mitchell

“…For each minute, we determined presence or absence of 4 anuran species (Hyla versicolor, Pseudacris crucifer, Anaxyrus americanus, and Lithobates clamitans) using 1) traditional human identification versus 2) computer‐mediated identification with software package, Song Scope® (Wildlife Acoustics, Concord, MA). Detections were compared with a data set consisting of verified calls in order to quantify false positive, false negative, true positive, and true negative rates. …”
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Predicting the subclinical carotid atherosclerosis in overweight and obese patients using a machine learning model by D. V. Gavrilov, T. Yu. Kuznetsova, M. A. Druzhilov, I. N. Korsakov, A. V. Gusev

“…The final data set contained information on 447 patients, 197 (44,1%) of which had SCA. …”
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Screening for More than 1,000 Pesticides and Environmental Contaminants in Cannabis by GC/Q-TOF by Philip L. Wylie, Jessica Westland, Mei Wang, Mohamed M. Radwan, Chandrani G. Majumdar, Mahmoud A. ElSohly

“…Twenty-one confiscated cannabis samples were analyzed and ten were found to have no detectable pesticides. The remaining 11 samples had at least one pesticide and one sample had seven detectable residues. …”
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Immunity peculiarities of neonates in case of perinatal pathology by О. S. Godovanets, A. B. Mihalchan, O. I. Godovanets, V. V. Bezruk, T. O. Bezruk

“…Objective: to study peculiarities of immunological indices in case of neonates’ perinatal pathology to detect their role in pathogenesis and formation of diseases severity. …”
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Sparse Convolution FPGA Accelerator Based on Multi-Bank Hash Selection by Jia Xu, Han Pu, Dong Wang

“…This circuit is designed to detect and eliminate the computational effort associated with zero values in the sparse convolutional kernels, thereby enhancing energy efficiency. (2) The data access patterns in convolutional neural networks introduce significant pressure on the high-latency off-chip memory access process. …”
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Evaluation of how US women react to a decision aid informing them of the harms and benefits of mammography: a qualitative study by Joseph N Cappella, Kirsten McCaffery, Jolyn Hersch, Marilyn M Schapira, Carmen L Lewis, Brad Morse, Tamar Parmet, Grant Yoder, Channing E Tate, Laura D Scherer

“…Comprehension and acceptance of overdiagnosis can be difficult for some people.Design Qualitative study using a semistructured interview protocol. Data were analysed in Atlas.Ti and the framework method was used to identify themes.Setting Telephone interviews with participants living in the USA.Participants 30 female individuals aged 39–49, selected from a nationally representative US sample of individuals who had completed a survey <2 weeks prior, during which they viewed a DA describing the main harms and benefits of breast cancer screening.Results Six major themes were identified: (1) overdiagnosis and false positives were often conflated, (2) previous experience and the influence of doctors and family supersedes new information, (3) beliefs about cancer dominate acceptance and comprehension of overdiagnosis, (4) emotional reactions to the novelty of overdiagnosis, (5) reactions to screening benefits—“I’ll be the one”, and (6) people reported the DA is credible, but they remained sceptical and performed their own research.Conclusion This study provides insights into the challenges of communicating about the harms of breast cancer screening, particularly overdiagnosis. …”
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Prevalence of Vancomycin-Variable Enterococci from the Bloodstream in the Korea Global Antibiotic Resistance Surveillance System, 2017–2022 by Sung Young Lee, Ji-Hyun Nam, Jung Wook Kim, Soo Hyun Kim, Jung Sik Yoo

“…Consequently, it is critical to evaluate <i>Enterococcus</i> species isolated from domestic clinical settings for their phenotypic vancomycin resistance and the molecular detection of <i>van</i> genes, irrespective of the strain.…”
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Chronic thalamic recordings for idiopathic generalized epilepsy and Lennox–Gastaut syndrome: Ictal and interictal electrophysiological findings by Katie L. Bullinger, Angela N. Crudele, Martha J. Morrell, Lise Johnson

“…Furthermore, CM recordings of ictal activity in both cohorts support the feasibility of closed‐loop stimulation, with detection settings programmed according to each individual's seizure onset pattern. …”
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Counting rare Wolbachia endosymbionts using digital droplet PCR by Alphaxand K. Njogu, Francesca Logozzo, William R. Conner, J. Dylan Shropshire

“…These highly sensitive ddPCR assays are expected to significantly advance Wolbachia–host interactions research by enabling the collection of molecular data from individual insect tissues. Their ability to detect rare Wolbachia will be especially valuable in applied and natural field settings where pooling samples could obscure important variation.IMPORTANCEWolbachia bacteria live inside the cells of many animals, especially insects. …”
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ESCRT may function as a tumor biomarker, transitioning from pan-cancer analysis to validation within breast cancer by Xiao-rui Chen, Xiao-rui Chen, Xue-ying Tan, Zong-liang Zhang, Jiang-shui Yuan, Wei-qing Song, Wei-qing Song

“…BRCA was used to explore its effects on tumor prognosis and therapy.MethodsThe data sets of Cancer Genome Atlas (TCGA), Genome-Tissue Expression Plan (GTEX), Human Protein Mapping (HPA), Gene Expression Omnibus (GEO), Clinical Proteomic Tumor Analysis Consortium (CPTAC), R software package, and bioinformatics methods were used to mine the potential carcinogenic effects of ESCRT, including the expression level, prognostic value, and immune value of ESCRT in various types of tumor tissues, and the potential function of ESCRT family genes was further verified in breast cancer.ResultsESCRT showed significant differential expression in various cancers, such as bladder urothelial carcinoma and liver, cervical, renal, esophageal, head, and neck cancers (P &lt;0.05). …”
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