Automatic mouse ultrasound detector (A-MUD): A new tool for processing rodent vocalizations. by Sarah M Zala, Doris Reitschmidt, Anton Noll, Peter Balazs, Dustin J Penn

“…A-MUD had lower error rates than the commercial software, as it detected significantly more correct positives, and fewer false positives and false negatives. …”
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Field validation and application of the luminex triplex HIV assay to estimate HIV prevalence and HIV-1 incidence in Nigeria. by Ernest L Yufenyuy, Olusola A Akanbi, Vedapuri Shanmugam, Kelsie Decker-Pulice, Jeni Vuong, Mervi Detorio, Amy Zheng, Orji Bassey, Ado G Abubakar, Oluwaseun Akinmulero, Mudiaga Esiekpe, Andrew Thomas, Iliyasu Abubakar Bichi, Israel Tamunonengiyeofori, Chinwe Ugwu, Evbuomwan Erasogie, William Nwachukwu, Nwando Mba, Ndidi Agala, Megan Bronson, Hetal K Patel, Nnaemeka C Iriemenem, Stacie Greby, McPaul I Okoye, Mahesh Swaminathan, Bharat S Parekh, Chikwe Ihekweazu

“…Plasma samples from consenting HIV-positive (n=2,773) and a subset of HIV-negative samples (n=7,196), as determined by the national rapid testing algorithm, followed by Bio-Rad Geenius HIV-1/2 Supplemental Assay and Western Blot, aged 18 months - 64 years, were tested using the Luminex-based HIV Triplex assay. …”
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Safety of creatine supplementation: a scientometrics analysis on the impact of the ‘Creatine For Health’ initiative and introduction to CREAS by Diego A. Bonilla, Drew E. Gonzalez, Gustavo Humeres, Jisun Chun, Kelly Hines, Adriana Gil, Richard B. Kreider

“…We employed supervised machine learning for sentiment analysis to detect and classify subjective content, using the SentiStrength algorithm within the Academic Research version of Mozdeh software. …”
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The Role of Lymph Node Fine-Needle Aspiration in Penile Cancer in the Sentinel Node Era by Maria Carmen Mir, Olivia Herdiman, Damien M. Bolton, Nathan Lawrentschuk

“…Current non invasive methods to detect lymph nodes metastasis are unreliable. Dynamic Sentinel Node Biopsy (DNSB), ultrasonography (US), and fine needle aspiration (FNA) cytology were proposed to in an attempt to detect sentinel lymph node (SLN). …”
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STUDY OF PREDICTION AND CLASSIFICATION MODELS IN THE PROBLEMS OF DIABETES AMONG PATIENTS WITH A STROKE IN DIFFERENT LIVING CONDITIONS by Nural Huliiev, Maksym Peretiaha, Artem Khovrat, Denys Teslenko, Alexei Nazarov

“…The article solves the problem of a multi-criteria task of choosing the best algorithm for predicting the occurrence of a disease. …”
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Pre-Hospital Point-of-Care Troponin: Is It Possible to Anticipate the Diagnosis? A Preliminary Report by Cristian Lazzari, Sara Montemerani, Cosimo Fabrizi, Cecilia Sacchi, Antoine Belperio, Marilena Fantacci, Giovanni Sbrana, Agostino Ognibene, Maurizio Zanobetti, Simone Nocentini

“…Both the Atellica VTLi and the Elecsys method showed high negative predictive value (NPV), indicating that a negative troponin result effectively ruled out AMI in most cases. …”
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Lithium Battery Thermal Runaway Warning Method Based on Multi-Feature Fusion by Mingwei DAI, Chunfu ZHANG, Jiawu YANG

“…[Conclusion] The early warning algorithm is able to accurately identify lithium batteries with abnormal temperature rise rates, and can promptly and precisely detect the timing and location of the opening of the safety valve in the lithium battery. …”
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Issues occult hepatitis B virus infection by I. A. Morozov, L. Yu. Ilchenko, N. I. Gromova, I. G. Fyedorov, I. V. Gordeychuk, A. K. Knyazhentseva, E. V. Zverkova, M. I. Mikhaylov

“…With the help of up-to-date molecular-biological and morphological methods to determine frequency of the occult form of chronic hepatitis B (CHB) among HBsAg-negative patients with chronic liver diseases (CLD) of various etiology and to present clinical and morphological characteristic.Material and methods. …”
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Microwave-Based Colonoscopy: Preclinical Evaluation in an Ex Vivo Human Colon Model by Glòria Fernández-Esparrach, Alejandra Garrido, Roberto Sont, Walid Dghoughi, Sergi Marcoval, Miriam Cuatrecasas, Sandra López-Prades, F. Borja de Lacy, María Pellisé, Ignasi Belda, Marta Guardiola

“…Using a detection threshold of 2.79 for the dielectric property contrast, all lesions were detected without false positives or false negatives. …”
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Which factors affect anxiety in rural older adults in China? by Hui Wang, Chi Wang, Yi Li, Yuran Liu, Hongxu Yuan, Yujie Chen, Hong Ding

“…T test, ANOVA test, multiple linear regression and random forest algorithm were used for analysis.ResultsThe mean anxiety score among rural older adults was 4.23 ± 5.30, and the detection rate of anxiety was 36.40%. …”
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Aerial remote sensing system to control pathogens and diseases in broccoli crops with the use of artificial vision by Darwin Laura, Elsa Pilar Urrutia, Franklin Salazar, Jeanette Ureña, Rodrigo Moreno, Gustavo Machado, Maria Cazorla-Logroño, Santiago Altamirano

“…The YOLO v5x algorithm demonstrated high accuracy in image analysis, reducing false detections. …”
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Do we need to pay technical debt in blockchain software systems? by Yubin Qu, Tie Bao, Xiang Chen, Long Li, Xianzhen Dou, Meng Yuan, Hongmei Wang

“…Because these technical debts can have a negative impact on software projects, we need to investigate the issue of technical debt in blockchain software systems. …”
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Noise correlations and neuronal diversity may limit the utility of winner-take-all readout in a pop out visual search task. by Ori Hendler, Ronen Segev, Maoz Shamir

“…The inherent neuronal heterogeneity prevents the single-best-cell WTA from accumulating information even from large populations, whereas the accuracy of the generalized population-based WTA algorithm is negatively affected by the widely reported noise correlations. …”
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Integrative analysis of ceRNA networks and immune cell infiltration in thyroid cancer for enhanced diagnostic and prognostic insights by Chang Lv, Huazhe Wu, Dejun Yin, Wei Fang, Liming Zhou

“…Despite advancements in fine-needle aspiration biopsy (FNAB) and molecular mutation detection, these techniques have limitations, particularly in large nodules. …”
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Spatiotemporal patterns of abrupt vegetation changes and reversal trends in the Yellow River Basin: Climate and human drivers by Xiaohui He, Tingwei Fan, Mengjia Qiao

“…Vegetation changes involve both gradual trends and abrupt changes, with the latter serving as critical indicators for detecting vegetation state transitions and identifying potential environmental stresses. …”
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Left ventricular systolic dysfunction predicted by artificial intelligence using the electrocardiogram in Chagas disease patients-The SaMi-Trop cohort. by Bruno Oliveira de Figueiredo Brito, Zachi I Attia, Larissa Natany A Martins, Pablo Perel, Maria Carmo P Nunes, Ester Cerdeira Sabino, Clareci Silva Cardoso, Ariela Mota Ferreira, Paulo R Gomes, Antonio Luiz Pinho Ribeiro, Francisco Lopez-Jimenez

“…Recently, an artificial intelligence (AI)-enabled ECG algorithm showed excellent accuracy to detect LVSD in a general population, but its accuracy in ChD has not been tested.…”
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Wind Turbine SCADA Data Imbalance: A Review of Its Impact on Health Condition Analyses and Mitigation Strategies by Adaiton Oliveira-Filho, Monelle Comeau, James Cave, Charbel Nasr, Pavel Côté, Antoine Tahan

“…Although this imbalance can negatively impact analyses such as detection, Condition Monitoring (CM), diagnosis, and prognosis, it is often overlooked in the literature. …”
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Optimal vaccination model of airborne infection under variable humidity and demographic heterogeneity for hybrid fractional operator technique by Saima Rashid, Ilyas Ali, Nida Fatima, Tehreem Fatima, Fekadu Tesgera Agam, Sayed K. Elagan

“…Our system’s best-fit parameter settings were detected using the Markov Chain Monte Carlo (M-C-M-C) technique with influenza information collected in Spain. …”
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Predicting the occurrence of probable sarcopenia in middle-aged and elderly patients with coronary artery disease: development and validation of a clinical model by Xiaolan Sun, Jia Xu, Feier Chen, Haiyan Lei, Wei Chen, Fang Ding, Xueping Li

“…Abstract The objective of this research was to identify the factors contributing to the decline in handgrip strength among middle-aged and elderly individuals with this condition. In addition, an algorithmic model for the detection of probable sarcopenia will be developed. …”
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Social Media Suicide Watch by Katherine Prothro

“…Her own Twitter account revealed signals of her worsening mental health crisis.[1] While better content censoring could have helped, an algorithm capable of detecting her worsening mental state and alerting trusted individuals could have also served as a crucial safety net. …”
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