Multimodal Semantics Extraction from User-Generated Videos by Francesco Cricri, Kostadin Dabov, Mikko J. Roininen, Sujeet Mate, Igor D. D. Curcio, Moncef Gabbouj

“…In particular, we analyze GPS data, magnetometer data, accelerometer data, video- and audio-content data. …”
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Improving melanoma screening in primary care: the Experience of the Association of French General Practitioners Practicing Dermoscopy by Julien Anriot, Nadia Ikhlef, Gérard Duru, Sophie Darnis, Pauline Scouarnec, Younes Tamarat, Amini-Adle Mona, Luc Thomas

“…Thirty nine point five percent of detected melanomas (105/266) were in situ, while only 22,4% (36/161) had a Breslow thickness above 1mm, which constitute a substantial improvement compared to previously reported data on GP-detected melanomas. …”
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Complete genomic characterization of global pathogens respiratory syntical virus and human norovirus using probe based capture enrichment by Sravya V Bhamidipati, Anil Surathu, Hsu Chao, Daniel P. Agustinho, Qin Xiang, Kavya Kottapalli, Abirami Santhanam, Zeineen Momin, Kimberly Walker, Vipin K. Menon, George Weissenberger, Nathanael Emerick, Faria Mahjabeen, Qingchang Meng, Jianhong Hu, Richard Sucgang, David Henke, Fritz J. Sedlazeck, Ziad M. Khan, Ginger A. Metcalf, Vasanthi Avadhanula, Pedro A. Piedra, Sasirekha Ramani, Robert L. Atmar, Mary K. Estes, Joseph F. Petrosino, Richard A. Gibbs, Donna M. Muzny, Sara Cregeen Javornik, Harsha Doddapaneni

“…Here, we present a set of comprehensive oligonucleotide probe sets designed from 1,570 RSV and 1,376 HuNoV isolate sequences in GenBank. …”
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Molecular and Microscopic-Based Characterization of Plasmodium spp. in Fars and Hormozgan Provinces, South of Iran by Tahereh Mohammadzadeh, Gholamreza Hatam, Mohsen Kalantari, Bahador Sarkari, Mohammad Hosein Motazedian, Seyed Mahmoud Sadjjadi, Reza Safari

“…Main our objectives were setting up nested PCR for detection of malaria and evaluating PCR based on plasmodia DNA from blood smears in Fars province, the comparison of this method with traditional microscopy and also evaluate the data in comparison with its neighboring province, Hormozgan. …”
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The Emerging Role of Artificial Intelligence in Dermatology: A Systematic Review of Its Clinical Applications by Ernesto Martínez-Vargas, Jeaustin Mora-Jiménez, Sebastian Arguedas-Chacón, Josephine Hernández-López, Esteban Zavaleta-Monestel

“…Conclusions: AI has demonstrated robust clinical potential in dermatology, particularly in cancer detection and workflow optimization. However, further studies are required to address challenges such as algorithmic bias, data privacy, and regulatory oversight. …”
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Use of Nanotrap particles for the capture and enrichment of Zika, chikungunya and dengue viruses in urine. by Shih-Chao Lin, Brian D Carey, Victoria Callahan, Ji-Hyun Lee, Nicole Bracci, Anurag Patnaik, Amy K Smith, Aarthi Narayanan, Benjamin Lepene, Kylene Kehn-Hall

“…Finally, in silico docking predictions support that the affinity between reactive red 120 and ZIKV or CHIKV envelope proteins appeared to be greater than acrylic acid. Overall, our data show that NT particles along with reactive red 120 can be utilized as a pre-processing technology for enhancement of detecting febrile-illness causing viruses.…”
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The current role of prostate multiparametric magnetic resonance imaging by Olivier Rouviere, Paul Cezar Moldovan

“…Currently, there is a consensus that targeted biopsies improve the detection of csPCa in the repeat biopsy setting and at confirmatory biopsy in patients considering active surveillance. …”
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Applying Acoustic Signals to Monitor Hybrid Electrical Discharge-Turning with Artificial Neural Networks by Mehdi Soleymani, Mohammadjafar Hadad

“…The promising results of the multi-label classification model depicted that it is possible to detect various aspects of a process simultaneously receiving single data, which is very beneficial in monitoring. …”
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On web-applications usability testing by Boris M. Basok, Alena N. Rozhanskaya, Sergey L. Frenkel

“…In addition, the analysis of the data obtained during the operation using web analytics makes it possible to form a group of respondent testers, whose capabilities reflect the capabilities of the entire set of probable users of this web application. …”
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Soil Temperature Prediction via Self-Training: Izmir Case by Göksu Tüysüzoğlu, Derya Birant, Volkan Kıranoglu

“…The previous studies on soil temperature prediction only use labeled data which is composed of a variable set X and the corresponding target value Y. …”
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Are Wearable ECG Devices Ready for Hospital at Home Application? by Jorge Medina-Avelino, Ricardo Silva-Bustillos, Juan A. Holgado-Terriza

“…The functionality of current wearable technology is scrutinized to determine its effectiveness in meeting clinical needs, employing a proposed ABCD guide (accuracy, benefit, compatibility, and data governance) for evaluation. While smartwatches show promise in detecting arrhythmias like atrial fibrillation, their broader diagnostic capabilities, including the potential for monitoring corrected QT (QTc) intervals during pharmacological interventions and approximating multi-lead ECG information for improved myocardial infarction detection, are also explored. …”
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Power-law Beta Calculations for Realistic Mammography Images from Egs_cbct Simulation by Déte van Eeden, F. C. P. du Plessis

“…This is done using the power spectrum to quantitatively evaluate and compare the β exponent of the egs_cbct images with previously reported values from the clinical data sets. Materials and Methods: The in silico imaging software tools developed for the Virtual Clinical Trial for Regulatory Evaluation project was used to model breast phantoms. …”
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Deblurring Method of Face Recognition AI Technology Based on Deep Learning by Weilong Li, Jie Li, Junhui Zhou

“…With the experimental results, the identification rate for the ORL and Yale data sets is 98.2% and 98.8%, respectively. Accordingly, an online face detection system and recognition system based on the combination of element models are designed. …”
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DeepDISC-photoz: Deep Learning-Based Photometric Redshift Estimation for Rubin LSST by Grant Merz, Xin Liu, Samuel Schmidt, Alex I. Malz, Tianqing Zhang, Doug Branton, Colin J. Burke, Melissa Delucchi, Yaswant Sai Ejjagiri, Jeremy Kubica, Yichen Liu, Olivia Lynn, Drew Oldag, The LSST Dark Energy Science Collaboration

“…We also examine the impact of the data quality and the size of the training set and model. …”
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Development of prediction models for screening depression and anxiety using smartphone and wearable-based digital phenotyping: protocol for the Smartphone and Wearable Assessment f... by Sujin Kim, Ah Young Kim, Yu-Bin Shin, Seonmin Kim, Min-Sup Shin, Jinhwa Choi, Kyung Lyun Lee, Jisu Lee, Sangwon Byun, Heon-Jeong Lee, Chul-Hyun Cho

“…By collecting comprehensive data using smartphones and smartwatches, this study aims to facilitate the translation of artificial intelligence-based early detection research into clinical impact, thereby potentially enhancing patient care through more accurate and timely interventions.Methods and analysis This cross-sectional observational study will enrol up to 2500 participants (at least 1000) aged 19-59 years from South Korea via social media outreach and clinical referrals. …”
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Novice Reviewers Retain High Sensitivity and Specificity of Posterior Segment Disease Identification with iWellnessExam™ by Samantha Slotnick, Catherine Awad, Sanjeev Nath, Jerome Sherman

“…Novice reviewer accuracy covaries with both clinical exposure and time spent per image set. These findings support exploration of training nonophthalmic technicians in a primary medical care setting.…”
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Zombie firms and resource allocation: research trends and developments during the spread of COVID-19 by Kotone Yamada, Yukio Minoura, Jouchi Nakajima, Tomoyuki Yagi

“…We identify so-called “zombie firms,” which survive with banks’ and governments’ support despite performing poorly without the prospect of recovery, using firms’ financial data. We set the criteria of the zombie firms by arranging methodologies proposed by the existing studies. …”
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A novel destination prediction attack and corresponding location privacy protection method in geo-social networks by Di Xue, Li-Fa Wu, Hua-Bo Li, Zheng Hong, Zhen-Ji Zhou

“…A new data preprocessing method is designed to construct a reasonable complete check-in subset from the worldwide check-in data set of a real-world geo-social network without loss of generality and validity of the evaluation. …”
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Fast segmentation of stained nuclei in terabyte-scale, time resolved 3D microscopy image stacks. by Johannes Stegmaier, Jens C Otte, Andrei Kobitski, Andreas Bartschat, Ariel Garcia, G Ulrich Nienhaus, Uwe Strähle, Ralf Mikut

“…We achieve an up to ten-fold decrease in processing times, allowing us to process large data sets while still providing reasonable segmentation results.…”
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Model-free estimation of completeness, uncertainties, and outliers in atomistic machine learning using information theory by Daniel Schwalbe-Koda, Sebastien Hamel, Babak Sadigh, Fei Zhou, Vincenzo Lordi

“…We demonstrate that the information entropy of a distribution of atom-centered environments explains known heuristics in ML potential developments, from training set sizes to dataset optimality. Using this tool, we propose a model-free UQ method that reliably predicts epistemic uncertainty and detects out-of-distribution samples, including rare events in systems such as nucleation. …”
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