VR-Based Workplace Training and Spaces of Learning: A Social Space Study of VR Training for Apprentice Electricians by Katrin Kraus, Martin Berger, Thomas Keller, Elke Brucker-Kley

“…Other important findings of the study are: Automated access to learning opportunities reduces pressure on the teaching-learning relationship; the haptic dimension of work is important for competence development; the VR environment enables personalized learning with unlimited opportunities for practice; the lack of variety in the operational scenario enables apprentices to focus on practicing and perfecting procedures but does not reflect the complexity of the real world.  …”
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Potentially Toxic Elements’ Accumulation and Health Risk of Consuming Vegetables Cultivated along the Accra-Tema Motorway by Ebenezer Boahen, Benedicta Yayra Fosu-Mensah, Samuel S. Koranteng, Daniel A. Darko, Gerald Obuobi, Michael Mensah

“…Vegetable samples were digested using an automated digester, Behrotest model K8, and levels of potentially toxic elements were analyzed using an atomic absorption spectrophotometer (AAS) PinAAcle 900T. …”
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Lengths of Stay and Stopover Strategies of Western Sandpipers During Migration at Two Sites in British Columbia, Canada by Anne L. Blondin, Mark C. Drever, Scott A. Flemming, Wendy E. Easton, Mark Maftei, Yuri Zharikov, Nils Warnock, Erica Nol

“…In this study, we used VHF tags and a Motus automated telemetry array to estimate the length of stay of 385 Western Sandpipers (Calidris mauri) migrating through two stopover sites in British Columbia, Canada (Tofino and Fraser River Estuary) over the course of seven migration periods (three northward and four southward) from 2018 to 2021. …”
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WED-YOLO: A Detection Model for Safflower Under Complex Unstructured Environment by Zhenguo Zhang, Yunze Wang, Peng Xu, Ruimeng Shi, Zhenyu Xing, Junye Li

“…Accurate safflower recognition is a critical research challenge in the field of automated safflower harvesting. The growing environment of safflowers, including factors such as variable weather conditions in unstructured environments, shooting distances, and diverse morphological characteristics, presents significant difficulties for detection. …”
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Investigating Maps of Science Using Contextual Proximity of Citations Based on Deep Contextualized Word Representation by Muhammad Roman, Abdul Shahid, Shafiullah Khan, Lisu Yu, Muhammad Asif, Yazeed Yasin Ghadi

“…Various attempts have been made to study the citation context to capture the citation intent, but very few have encoded the words to their contextual representations. For automated classification, we need to train deep learning models, which take the citation context as input and provides the reason for citing a paper. …”
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Association between prenatal exposure to phthalate esters and blood pressure in children aged 3–7 years: A prospective cohort study by Zihao Wang, Yu Zhang, Wenwen Yang, Mengfei Xu, Beini Li, Ping Wu, Zhongqiang Cao, Wei Wu

“…Systolic (SBP) and diastolic blood pressure (DBP) were measured by physicians using an automated oscillometric sphygmomanometer and childhood hypertension was defined according to the American Academy of Pediatrics 2017 guidelines. …”
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Detection of High- and Low-Risk HPV DNA in Archived Breast Carcinoma Tissues from Ethiopian Women by Endale Gebregzabher, Daniel Seifu, Wondemagegnhu Tigneh, Yonas Bokretsion, Abebe Bekele, Markos Abebe, Gabriella Lillsunde-Larsson, Christina Karlsson, Mats G. Karlsson

“…IHC for p16 was done using an automated system, the Dako Autostainer Link. Results. …”
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Multiclass Supervised Learning Approach for SAR-COV2 Severity and Scope Prediction: SC2SSP Framework by Shaik Khasim Saheb, B. Narayanan, T.V. Narayana Rao

“…The proposed SC2SSP approach attains 3.101% and 7.12% higher accuracy; 24.13% and 13.04% higher precision compared with existing methods, like the Detection of COVID-19 from Chest X-ray Images Using Convolutional Neural Networks (Resnet50), Deep learning for automated recognition of covid-19 from chest X-ray images (VGGNet), respectively. …”
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Effects of diesel exhaust inhalation on cognitive performance in human volunteers: A randomized controlled crossover study by Jason Curran, A.J. Hirsch Allen, Christopher F. Rider, Robin Shutt, Chris Carlsten

“…Volunteers completed five computerised neuropsychological tests of the Cambridge Neuropsychological Test Automated Battery (CANTAB) prior to (2-hr before) and at three timepoints following each exposure condition (0-hr, 3-h post-, and 24-h post-exposure). …”
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AI enabled, mobile soil pH classification with colorimetric paper sensors for sustainable agriculture. by Ademir Ferreira da Silva, Ricardo Luis Ohta, Jaione Tirapu Azpiroz, Matheus Esteves Ferreira, Daniel Vitor Marçal, André Botelho, Tulio Coppola, Allysson Flavio Melo de Oliveira, Murilo Bettarello, Lauren Schneider, Rodrigo Vilaça, Noorunisha Abdool, Vanderlei Junior, Wellington Furlaneti, Pedro Augusto Malanga, Mathias Steiner

“…Colorimetric paper sensors are ideal candidates, however, their automated readout and analysis in the field is needed. …”
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Performance of artificial intelligence on cervical vertebral maturation assessment: a systematic review and meta-analysis by Termeh Sarrafan Sadeghi, Seyed AmirHossein Ourang, Fatemeh Sohrabniya, Soroush Sadr, Parnian Shobeiri, Saeed Reza Motamedian

“…AI has the potential to automate CVM assessment, enhancing reliability and user-friendliness. …”
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A deep learning approach for automatic 3D segmentation of hip cartilage and labrum from direct hip MR arthrography by Malin Kristin Meier, Ramon Andreas Helfenstein, Adam Boschung, Andreas Nanavati, Adrian Ruckli, Till D. Lerch, Nicolas Gerber, Bernd Jung, Onur Afacan, Moritz Tannast, Klaus A. Siebenrock, Simon D Steppacher, Florian Schmaranzer

“…In this retrospective single-center study, CNNs with a U-Net architecture were used to develop a fully automated segmentation model for hip cartilage and labrum from MRI. …”
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Association of cigarette smoking with cardiometabolic risk factors: A cross-sectional study by Samar Sultan, Fouzy Lesloom

“…Blood samples were taken from each participant to assess their cardiometabolic function: lipid profile, von Willebrand factor (vWF), high-sensitivity cardiac troponin I (hs-cTnI), and fibrinogen levels; and liver function using an automated enzymatic method. In addition, blood sugar level, body mass index (BMI), and blood pressure were recorded. …”
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Smoking and secondhand smoke exposure and carotid intima-media thickness: Baseline data from the Aidai Cohort Study in Japan by Makoto Saito, Yoshihiro Miyake, Keiko Tanaka, Chisato Nagata, Hidenori Senba, Yasuko Hasebe, Toyohisa Miyata, Takashi Higaki, Eizen Kimura, Bunzo Matsuura, Osamu Yamaguchi, Ryuichi Kawamoto

“…Information on smoking, SHS exposure, and confounders was obtained through a self-administered questionnaire. An automated carotid ultrasonography device was used to measure the right and left CIMT. …”
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Fruit size prediction of tomato cultivars using machine learning algorithms by Masaaki Takahashi, Yasushi Kawasaki, Hiroki Naito, Hiroki Naito, Unseok Lee, Koichi Yoshi

“…If fruit diameter data acquisition could be automated or simplified, it would assist in cultivation management, such as tomato thinning.…”
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Thrombin Generation in Acute Ischaemic Stroke by Ibrahim O. Balogun, Lara N. Roberts, Raj Patel, Rohan Pathansali, Lalit Kalra, Roopen Arya

“…We evaluated thrombin generation, measured with calibrated automated thrombography in stroke of different aetiological types (n=170) within 48 hours of symptoms onset (baseline) and in the second week (time 2) and in normal healthy volunteers (n=71). …”
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Comparative analysis of deep learning models for crack detection in buildings by S. Siva Rama Krishnan, M. K. Nalla Karuppan, Adil O. Khadidos, Alaa O. Khadidos, Shitharth Selvarajan, Saarthak Tandon, Balamurugan Balusamy

“…As a result, a critical challenge for many civil engineering applications is the precise, quick, and automated identification of cracks on structural surfaces is addressed with the solutions provided by the deep image neural networks. …”
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AutoLDP: An accurate and efficient artificial intelligence-based tool for automatic labeling of digital pathology by Yingnan Zhao, Huifen Ye, Jing Yang, Su Yao, Maohua Lv, Zhihong Chen, Yunrui Ye, Qingru Hu, Cheng Lu, Zaiyi Liu, Ke Zhao, Zhihua Chen

“…Conclusion: In this study, we proposed a new model, AutoLDP, automates the extraction and recognition of key information from WSI, enabling standardized naming, and significantly improving labeling efficiency. …”
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HER-SAFE study design: an open-label, randomised controlled trial to investigate the safety of withdrawal of pharmacological treatment for recovered HER2-targeted therapy-related c... by Robin Chung, James C Moon, Alexander R Lyon, Charlotte H Manisty, Muhummad Sohaib Nazir, Malcolm Walker, Peter Kellman, Benjamin Dowsing, Daniel Chen, Jessica Artico, Mark Westwood, Hakim-Moulay Dehbi, Rebecca Roylance, Tom Crake, Peter Schmid, Arjun Ghosh, Maria Sol Andres, Joanna Pedra, Orla Worn

“…The study will recruit 90 participants who will undergo serial clinical assessment over 12 months with advanced cardiovascular imaging (CMR scans with automated analysis at baseline, 6 and 12 months), cardiac biomarker measurement (six time points over 12 months), plus complete heart failure QoL and medication disutility questionnaires. …”
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Magnitude, Severity, and Associated Factors of Anemia among Under-Five Children Attending Hawassa University Teaching and Referral Hospital, Hawassa, Southern Ethiopia, 2016 by Yeshimebet Gebereselassie, Mesganaw BirhanSelassie, Tadesse Menjetta, Jemal Alemu, Aster Tsegaye

“…Venous blood samples were collected and analyzed for hemoglobin determination using a Cell-Dyn 1800 automated analyzer. Stool samples were collected and processed using direct wet mount and formol-ether concentration method to detect intestinal parasites. …”
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