Comparative analysis of dermal and inhalation exposures to antineoplastic drugs among workers in the workplaces: a systematic review by Zahra Beigzadeh, Farideh Golbabaei, Fariborz Omidi, Seyed Jamaleddin Shahtaheri

“…Results Ten studies met the inclusion criteria, assessing various antineoplastic drugs across different occupational settings. Surface contamination levels varied widely, with concentrations ranging from very low to high, whereas airborne monitoring consistently reported "Not Detectable" levels. …”
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Arabic web pages clustering and annotation using semantic class features by Hanan M. Alghamdi, Ali Selamat, Nor Shahriza Abdul Karim

“…Therefore, in this paper, we aim to retrieve machine-understandable data with the help of a Web content mining technique to detect covert knowledge within these data. …”
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Factors Identification and Prediction for Mind Wandering Driving Using Machine Learning by Ciyun Lin, Hongli Zhang, Bowen Gong, Dayong Wu

“…We compare results obtained by four machine-learning-enabled forecasting approaches on a real-life data set. The result shows that the factors found in this paper can significantly improve forecast accuracy. …”
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The peak oxygen uptake of healthy Turkish children with reference to age and sex: a pilot study by Yeşim Gürsel, Birkan Sonel, Haydar Gök, Peyman Yalçin

“…Currently there is insufficient normative data for Turkish children. With this preliminary study, we aimed to set up a normative data for our lab which may also serve as a basis for future large population based studies in Turkey. …”
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AI-driven multimodal colorimetric analytics for biomedical and behavioral health diagnostics by Desta Haileselassie Hagos, Saurav Keshari Aryal, Patrick Ymele-Leki, Legand L. Burge

“…Integrating Image 2 with colorimetric biosensing and multimodal data fusion offers scalable solutions that can improve diagnostic accuracy, enable early disease detection, and support personalized medicine. …”
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Computed Tomography–Galactography Virtual Endoscopy: A Better Imaging Method for the Diagnosis of Pathologic Nipple Discharge by Nan Ma, Jiang Zhu, Yawen Wang, Kai Zhang, Song Zhao, Yongfeng Liang, Yan Deng, Rong Ma

“…The postoperative histopathologic results were regarded as the gold standard for diagnosis. Qualitative data were analyzed using Fisher’s precision probability test. …”
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The improvements of three-dimensional seismic interpretation in comparison with the two-dimensional seismic interpretation in Al-Amal oil field, Gulf of Suez, Egypt by Ahmed S.A. Abuel Ata, Salah S.S. Azzam, Nahla A.A. El- Sayed

“…Most of the available seismic data in Al-Amal area were investigated and reviewed to select the best quality set. …”
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Statistical Relations Between Ionospheric Conductance and Precipitating Electrons Derived From Direct Conjugate Observations by Longxing Ma, Xingbin Tian, Yiqun Yu, Linhui Tang, Jinbin Cao

“…In this study, we revisit the relationship using a comprehensive data set of ∼2,400 conjugate events. Each event includes ionospheric conductances calculated based on the electron density measurements from the Poker Flat Incoherent Scattering Radar (PFISR) and precipitating electron flux detected directly by the Defense Meteorological Satellite Program (DMSP) at conjugate locations. …”
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The deep accumulation of 10Be at Utsira, southwestern Norway: Implications for cosmogenic nuclide exposure dating in peripheral ice sheet landscapes by Jason P. Briner, Brent M. Goehring, Jan Mangerud, John Inge Svendsen

“…We scrutinize a recently published data set of cosmogenic 10Be data from erratic boulders in Norway used to constrain the deglaciation of the western Scandinavian Ice Sheet to 20 ka. …”
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Regularity and predictability of human mobility in personal space. by Daniel Austin, Robin M Cross, Tamara Hayes, Jeffrey Kaye

“…Here we show that mobility patterns of older individuals in their home also show a high degree of predictability and regularity, although in a different way than has been reported for out-of-home mobility. Studying a data set of almost 15 million observations from 19 adults spanning up to 5 years of unobtrusive longitudinal home activity monitoring, we find that in-home mobility is not well represented by a universal scaling law, but that significant structure (predictability and regularity) is uncovered when explicitly accounting for contextual data in a model of in-home mobility. …”
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Identification of proteins enriched in rice egg or sperm cells by single-cell proteomics. by Mafumi Abiko, Kensyo Furuta, Yoshio Yamauchi, Chiharu Fujita, Masato Taoka, Toshiaki Isobe, Takashi Okamoto

“…Moreover, several rice or Arabidopsis lines with mutations in genes encoding the putative gamete-enriched proteins showed clear phenotypic defects in seed set or seed development. These results suggested that the proteomic data presented in this study are foundational information toward understanding the mechanisms of reproduction and early development in angiosperms.…”
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The Upper Stratospheric Solar Cycle Ozone Response by W. T. Ball, E. V. Rozanov, J. Alsing, D. R. Marsh, F. Tummon, D. J. Mortlock, D. Kinnison, J. D. Haigh

“…Chemistry climate models (CCMs) and observations display a range of upper stratosphere (1–10 hPa) zonally averaged spatial responses; this and the recommended data set for comparison remains disputed. Recent data‐merging advancements have led to more robust observational data. …”
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Pilot cluster randomised trial of an evidence-based intervention to reduce avoidable hospital admissions in nursing home residents (Better Health in Residents of Care Homes with Nu... by Katherine Froggatt, Rachael Hunter, Louise Marston, Louise Robinson, Greta Rait, John Young, Elizabeth L Sampson, Alexandra Feast, Alan Blighe, Brendan McCormack, Shirley Nurock, Monica Panca, Catherine Powell, Barbara Woodward-Carlton, Murna Downs

“…Objectives To pilot a complex intervention to support healthcare and improve early detection and treatment for common health conditions experienced by nursing home (NH) residents.Design Pilot cluster randomised controlled trial.Setting 14 NHs (7 intervention, 7 control) in London and West Yorkshire.Participants NH residents, their family carers and staff.Intervention Complex intervention to support healthcare and improve early detection and treatment of urinary tract and respiratory infections, chronic heart failure and dehydration, comprising: (1) ‘Stop and Watch (S&W)’ early warning tool for changes in physical health, (2) condition-specific care pathway and (3) Situation, Background, Assessment and Recommendation tool to enhance communication with primary care. …”
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Advancing Predictive Healthcare: A Systematic Review of Transformer Models in Electronic Health Records by Azza Mohamed, Reem AlAleeli, Khaled Shaalan

“…Furthermore, this paper emphasizes significant obstacles, such as the reliance on restricted datasets and the need for data format standardization, and provides a road map for future research to improve the applicability and performance of these models in real-world clinical settings.…”
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Survey Based on Edge Structured File Systems in Edge Computing by Ravula Rajesh, Ripon Patgiri

“…ESFs adapt to dynamic edge settings through flexible data placement tactics, network congestion detection and resolution, and seamless integration with cloud-based storage systems. …”
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An Adapted Few-Shot Prompting Technique Using ChatGPT to Advance Low-Resource Languages Understanding by Saedeh Tahery, Saeed Farzi

“…To address this, we propose a novel approach that first employs an effective cross-lingual transfer model to generate labeled data for the target language, overcoming the scarcity of labeled data in low-resource settings. …”
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Artificial intelligence for hemodynamic monitoring with a wearable electrocardiogram monitor by Daphne E. Schlesinger, Ridwan Alam, Roey Ringel, Eugene Pomerantsev, Srikanth Devireddy, Pinak Shah, Joseph Garasic, Collin M. Stultz

“…We then evaluated model on patch-monitor electrocardiographic data on a small prospective cohort. Results The model achieves an area under the receiver operating characteristic curve of 0.80 for detecting elevated left atrial pressures on an internal holdout dataset from MGH and 0.76 on an external validation set from a second institution. …”
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A Hierarchical Neural Network for Point Cloud Segmentation and Geometric Primitive Fitting by Honghui Wan, Feiyu Zhao

“…Automated generation of geometric models from point cloud data holds significant importance in the field of computer vision and has expansive applications, such as shape modeling and object recognition. …”
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Pointer meters recognition method in the wild based on innovative deep learning techniques by Jiajun Feng, Haibo Luo, Rui Ming

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Artificial intelligence in hospital infection prevention: an integrative review by Rabie Adel El Arab, Zainab Almoosa, May Alkhunaizi, May Alkhunaizi, Fuad H. Abuadas, Joel Somerville, Joel Somerville

“…In resource-constrained settings, non-real-time AI models utilizing historical EHR data showed considerable scalability, facilitating broader implementation in infection surveillance and control. …”
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