Risk perception, barriers, and working safely with silica dust in construction: a psychological network approach by Tom Jansen, Myrthe von den Benken, Gabriela Lunansky, Evi van Moll, Marre Lammers

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Providing a model of purchase intention and customer experience on customer behavior in virtual networks by Kazem Tolooee, Hossein budaghi Khajeh Noubar, Hossein Gharehbiglo, Mojtaba Ramazani

“…In addition, relatively little work has been done to determine customer perceptions of a digital marketing approach using virtual interior design and its interactive features. …”
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The effect of 12 weeks of HIIT and curcumin consumption on oxidative indices in obese men with type-2 diabetes mellitus by Hasan Naghizadeh, Faeze Heydari

“…Sampling was performed in two stages, pre-test and post-test to measure the plasma concentrations of paraoxonase-1, superoxide dismutase, glutathione peroxidase and malondialdehyde. Data were analyzed using Shapiro-Wilk, one-way analysis of variance and two-way covariance method. …”
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Insights Into the Aerodynamic Versus Radiometric Surface Temperature Debate in Thermal‐Based Evaporation Modeling by Kaniska Mallick, Dennis Baldocchi, Andrew Jarvis, Tian Hu, Ivonne Trebs, Mauro Sulis, Nishan Bhattarai, Christian Bossung, Yomna Eid, Jamie Cleverly, Jason Beringer, William Woodgate, Richard Silberstein, Nina Hinko‐Najera, Wayne S. Meyer, Darren Ghent, Zoltan Szantoi, Gilles Boulet, William P. Kustas

“…By employing a non‐parametric model, we show that evaporation can be directly retrieved from thermal satellite data without the need of any empirical correction. …”
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From reality to virtuality: Unveiling Gen Z's purchasing behavior through virtual influencers in the metaverse by Tri-Quan Dang, Tan-Minh Nguyen, Phuc-Thien Tran, Tien-Thao Cong Phan, Thach-Bao Huynh, Luan-Thanh Nguyen

“…The data were analyzed using a mixed-method approach, incorporating fuzzy-set Qualitative Comparative Analysis (fsQCA), Partial Least Squares Structural Equation Modeling (PLS-SEM), and Artificial Neural Networks (ANN techniques). …”
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Multimodal gradients unify local and global cortical organization by Yezhou Wang, Nicole Eichert, Casey Paquola, Raul Rodriguez-Cruces, Jordan DeKraker, Jessica Royer, Donna Gift Cabalo, Hans Auer, Alexander Ngo, Ilana R. Leppert, Christine L. Tardif, David A. Rudko, Robert Leech, Katrin Amunts, Sofie L. Valk, Jonathan Smallwood, Alan C. Evans, Boris C. Bernhardt

“…Here, we present an approach to integrate inter- and intra-areal similarities of microstructure, structural connectivity, and functional interactions. Using high-field in-vivo 7 tesla (7 T) Magnetic Resonance Imaging (MRI) data and a probabilistic post-mortem atlas of cortical cytoarchitecture, we derive multimodal gradients that capture cortex-wide organization. …”
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Global perspectives on the biodegradation of LDPE in agricultural systems by Jani E. Mendoza, Daniel Tineo, Beimer Chuquibala-Checan, Nilton Atalaya-Marin, Victor H. Taboada-Mitma, Josué Tafur-Culqui, Ever Tarrillo, Darwin Gómez-Fernández, Malluri Goñas, María Andrea Reyes-Reyes, María Andrea Reyes-Reyes

“…The studies reviewed include recent data and the methodologies used include state-of-the-art technologies and others that have been used for decades, to monitor and measure the degree of biodegradation that each treatment applied can have, including SEM, GCMS, HPLC, and microscopy. …”
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Predicting cellular responses to complex perturbations in high‐throughput screens by Mohammad Lotfollahi, Anna Klimovskaia Susmelj, Carlo De Donno, Leon Hetzel, Yuge Ji, Ignacio L Ibarra, Sanjay R Srivatsan, Mohsen Naghipourfar, Riza M Daza, Beth Martin, Jay Shendure, Jose L McFaline‐Figueroa, Pierre Boyeau, F Alexander Wolf, Nafissa Yakubova, Stephan Günnemann, Cole Trapnell, David Lopez‐Paz, Fabian J Theis

“…CPA learns to in silico predict transcriptional perturbation response at the single‐cell level for unseen dosages, cell types, time points, and species. Using newly generated single‐cell drug combination data, we validate that CPA can predict unseen drug combinations while outperforming baseline models. …”
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Giant extrachromosomal element “Inocle” potentially expands the adaptive capacity of the human oral microbiome by Yuya Kiguchi, Nagisa Hamamoto, Yukie Kashima, Lucky R. Runtuwene, Aya Ishizaka, Yuta Kuze, Tomohiro Enokida, Nobukazu Tanaka, Makoto Tahara, Shun-Ichiro Kageyama, Takao Fujisawa, Riu Yamashita, Akinori Kanai, Josef S. B. Tuda, Taketoshi Mizutani, Yutaka Suzuki

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Keystone bacteria dynamics in chronic obstructive pulmonary disease (COPD): Towards differential diagnosis and probiotic candidates by Azadeh KavianFar, Hamidreza Taherkhani, Hossein Lanjanian, Sargol Aminnezhad, Ali Ahmadi, Sadegh Azimzadeh, Ali Masoudi-Nejad

“…We compared microbiome data collected from 101 COPD patients in stable and exacerbation states, as well as 124 healthy controls from two separate general cohorts, to determine the major microbiome and keystone genera. …”
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Rare disease narratives on social media: A content analysis by Hannah J. Park, Cassidy J. Scott, Hadley Stevens Smith, Monica H. Wojcik

“…A total of 189 rare conditions were mentioned, the most common being Ehler-Danlos syndrome (7.8%), Sanfilippo syndrome (1.8%), and narcolepsy (1.8%). Conclusion: Our data suggest that video-format social media allows community building among people affected by rare conditions. …”
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MSBiLSTM-Attention: EEG Emotion Recognition Model Based on Spatiotemporal Feature Fusion by Yahong Ma, Zhentao Huang, Yuyao Yang, Zuowen Chen, Qi Dong, Shanwen Zhang, Yuan Li

“…This paper introduces a novel deep learning technique that integrates multi-scale convolution and bidirectional long short-term memory networks with an attention mechanism for automatic EEG feature extraction and classification. By using raw EEG data, the method applies multi-scale convolutional neural networks and bidirectional long short-term memory networks to extract and merge features, selects key features via an attention mechanism, and classifies emotional EEG signals through a fully connected layer. …”
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Endovascular versus neurosurgical aneurysm treatment: study protocol for the development and validation of a clinical prediction tool for individualised decision making by Hester F Lingsma, Diederik W J Dippel, David van Klaveren, Bob Roozenbeek, Mathieu van der Jagt, Ruben Dammers, Pieter-Jan van Doormaal, Jordi de Winkel, Simone A Dijkland

“…We present a study protocol and analysis plan for the development and external validation of models to predict benefit of neurosurgical versus endovascular aneurysm treatment on functional outcome and durability of treatment.Methods and analysis We will use data from the International Subarachnoid Aneurysm Trial for model development. …”
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Pioneering era in paediatric tuberculosis: Utilization of 3D printing technology by Shubham Singh, Mohit Kumar, Deeksha Choudhary, Devesh Kumar, Dikshant, Shital Zambad, Shruti Chopra, Manjeet Bansal, Amit Bhatia

“…The 3D printing enables the creation of anatomically accurate models derived from patient-specific imaging data. These models aid clinicians in preoperative planning, facilitating precise surgical interventions for complicated TB cases in children. …”
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A Possible Common Physics Picture Reflected by the Gamma-Ray Emission of the Galactic Center by Lin Nie, Yi-Qing Guo, Si-Ming Liu

“…We suggest that the low-energy (GeV) power-law spectrum originates from interactions between trapped background “sea” cosmic ray particles and the dense gaseous environment near the Galactic center. …”
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Impact of a digital platform and flare risk blood biomarker index on lupus: A study protocol design for evaluating self efficacy and disease management by Eldon R. Jupe, Mohan Purushothaman, Bruce Wang, Gerald Lushington, Sandeep Nair, Vijay R. Nadipelli, Bernard Rubin, Melissa E. Munroe, Jessica Crawley, Sneha Nair, Georg Armstrong, Arif Sorathia, Brett Adelman

“…Participants will be given a mobile study app interfaced with a smartwatch to record activity, heart rate, and sleep quality. The app will be used to administer patient-reported outcome (PRO) surveys and health coaching. …”
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Determinants of adherence towards tuberculosis guidelines among Indonesian private practitioners: a qualitative study by Philip C Hill, Megan B Murray, Bachti Alisjahbana, Bony Wiem Lestari, Reinout van Crevel, Nur Afifah, Susan McAllister, Adriana Viola Miranda, Erna Herawati, Panji Fortuna Hadisoemarto, Marlies Hulscher

“…This study examines what affects the decisions of Indonesian PPs regarding TB management.Methods We performed semistructured in-depth interviews and focus group discussions (FGDs) with 24 PPs and 6 relevant stakeholders. Data collection and analysis were based on Flottorp’s comprehensive and generic checklist on determinants of healthcare professional practice, including seven domains: guideline factors; individual professional barriers; patient factors; professional interactions; incentives and resources; organisational changes capacity and social, legal and political factors. …”
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High cGAS-STING expression associates with improved efficacy of neoadjuvant chemo-immunotherapy in head and neck squamous cell carcinoma by Miao Wang, Menglin Shi, Yiming Ding, Zishanbai Zhang, Yuze Ge, Zhixin Li, Yixin Jing, Honglian Hu, Xiaohong Chen

“…The T cell abundance and tumor-T cell interactions in different CGAS and STING1 expression groups were analyzed using bulk RNA-seq and scRNA-seq data from open databases.ResultsThe mRNA expressions of CGAS and STING1 were negatively correlated with the IC50 of docetaxel and positively correlated with the efficacy of anti-PD-1 treatment (p<0.05). …”
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Association between red blood cell distribution width and genetic risk in patients with rheumatoid arthritis: a prospective cohort study and Mendelian randomization analysis by Mingyang Chen, Jing Lei, Zhenqiu Liu, Renjia Zhao, Yanfeng Jiang, Kelin Xu, Tiejun Zhang, Chen Suo, Xingdong Chen

“…This study aimed to investigate the associations between RDW, genetics, and the risk of developing RA. Methods We analysed data from 145,025 healthy participants at baseline in the UK Biobank. …”
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Small molecule modulation of protein corona for deep plasma proteome profiling by Ali Akbar Ashkarran, Hassan Gharibi, Seyed Amirhossein Sadeghi, Seyed Majed Modaresi, Qianyi Wang, Teng-Jui Lin, Ghafar Yerima, Ali Tamadon, Maryam Sayadi, Maryam Jafari, Zijin Lin, Danilo Ritz, David Kakhniashvili, Avirup Guha, Mohammad R. K. Mofrad, Liangliang Sun, Markita P. Landry, Amir Ata Saei, Morteza Mahmoudi

“…Our molecular dynamics results reveal that phosphatidylcholine interacts with albumin via hydrophobic interactions, H-bonds, and water bridges. …”
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