Uncovering the impact of outliers on clusters’ evolution in temporal data-sets: an empirical analysis by Muhammad Atif, Muhammad Farooq, Muhammad Shafiq, Tmader Alballa, Somayah Abdualziz Alhabeeb, Hamiden Abd El-Wahed Khalifa

“…The findings of this study provide useful insights for practitioners and researchers in the field of stream clustering and can help guide the development of more robust and accurate stream clustering algorithms.…”
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AI-driven pharmacovigilance: Enhancing adverse drug reaction detection with deep learning and NLP by Dr. Bharti Khemani, Dr. Sachin Malave, Samyukta Shinde, Mandvi Shukla, Razzaq Shikalgar, Harshita Talwar

“…These findings suggest that specific demographic and clinical factors significantly influence the likelihood of adverse reactions, offering valuable insights for targeted monitoring and risk mitigation strategies[11]. This research underscores the potential of predictive modeling to enhance pharmacovigilance efforts and ensure safer clinical trial outcomes. • The research methodology includes a comparison of supervised learning algorithms, such as Logistic Regression, Random Forest, Gradient Boost, CNN, and genetic algorithms, to identify patterns and anomalies in clinical trial data. …”
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Random Undersampled Digital Elevation Model Super-Resolution Based on Terrain Feature-Aware Deep Learning Network by Ziqiang Huo, Meng Xi, Jingyi He, Zhengjian Li, Jiabao Wen

“…In order to solve these problems, we conducted in-depth research on the terrain feature patterns of DEMs and proposed a DEM super-resolution reconstruction network that is terrain feature-aware, named D-ResDCN. …”
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Real‐Climatic Microcontroller‐in‐the‐Loop (RCMIL) Framework: A Novel, Rapid, and Cost‐Effective Approach for Verifying Photovoltaic Control Systems by Ambe Harrison, Idriss Dagal, Wulfran Fendzi Mbasso, Fritz Nguemo Kemdoum, Reagan Jean Jacques Molu, Hamid Belghiti, Pradeep Jangir

“…By pushing the frontiers of PV system research, this paper provides a vital resource that speeds up the transition from simulation to real‐world applications.…”
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“Voice is the New Blood”: a discourse analysis of voice AI health-tech start-up websites by Alden Blatter, Hortense Gallois, Emily Evangelista, Yael Bensoussan, Bridge2AI-Voice Consortium, Jean-Christophe Bélisle-Pipon, Yael E. Bensoussan, Olivier Elemento, Jean-Christophe Bélisle-Pipon, David Dorr, Satrajit Ghosh, Alistair Johnson, Phillip Payne, Maria E. Powell, Anaïs Rameau, Vardit Ravitsky, Alexandros Sigaras

“…However, descriptions of voice datasets used to train algorithms vary widely and are often absent, reflecting broader gaps in acoustic and ethical standards for voice data collection and insufficient incentives for start-ups to disclose key data details.DiscussionStart-ups play a crucial role in the research, development, and marketization of voice AI health-tech, prefacing the integration of this new technology into healthcare systems. …”
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Unraveling shared diagnostic genes and cellular microenvironmental changes in endometriosis and recurrent implantation failure through multi-omics analysis by Dongxu Qin, Yongquan Zheng, Libo Wang, Zhenyi Lin, Yao Yao, Weidong Fei, Caihong Zheng

“…Single-cell analysis was conducted to investigate the expression patterns of these diagnostic genes across various cellular subpopulations. …”
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Predictive performance of risk prediction models for lung cancer incidence in Western and Asian countries: a systematic review and meta-analysis by Yah Ru Juang, Lina Ang, Wei Jie Seow

“…Our review also highlights a significant gap in prediction models for never-smokers. Future research should focus on externally validating existing Asian models or incorporating relevant Asian risk factors into widely used Western models (PLCOM2012) to better account for unique risk profiles and lung cancer progression patterns in Asian populations.…”
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Medical Device Failure Predictions Through AI-Driven Analysis of Multimodal Maintenance Records by Noorul Husna Abd Rahman, Khairunnisa Hasikin, Nasrul Anuar Abd Razak, Ayman Khallel Al-Ani, D. Jerline Sheebha Anni, Prabu Mohandas

“…The topic modelling and synthesis strategy: Latent Dirichlet Allocation is applied to unstructured data in order to uncover concealed patterns in maintenance notes captured during failures. …”
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Scalable Clustering of Complex ECG Health Data: Big Data Clustering Analysis with UMAP and HDBSCAN by Vladislav Kaverinskiy, Illya Chaikovsky, Anton Mnevets, Tatiana Ryzhenko, Mykhailo Bocharov, Kyrylo Malakhov

“…The focus is on identifying patterns that correlate with cardiac health risks, potentially aiding in early detection and personalized care. …”
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Development and validation of machine learning-based diagnostic models using blood transcriptomics for early childhood diabetes prediction by Xin Huang, Xin Huang, Di Ouyang, Weiming Xie, Huawei Zhuang, Siyu Gao, Pan Liu, Lizhong Guo

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Prediksi Kesiapan Sekolah Menggunakan Machine Learning Berbasis Kombinasi Adam dan Nesterov Momentum by Indah Mustika Rahayu, Ahmad Yusuf, Mujib Ridwan

“…Machine learning is a technique that uses algorithms to find useful patterns in data. Based on previous NST data, it can be designed as a school readiness prediction model that will facilitate teachers and parents in knowing the readiness of children to enter elementary school. …”
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Analysis of soil salinization and land use change under water conservation retrofit in the Hetao irrigation district by Yi Zhao, Shuya Yang, Haibin Shi, Haoqi Han, Yunlei Dong, Xianyue Li, Jianwen Yan, Yan Yan, Xu Dou, Feng Tian, Qingfeng Miao

“…We establish soil sampling sites in this region, employ Google Earth Engine algorithms to develop models for soil salinity inversion and land use classification, and analyze the change patterns of land salinization and land use types. …”
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Machine learning-based prediction and classification of seawater intrusion in the hyper-arid coastal aquifer of Fujairah, UAE by Assaad Kassem, Ahmed Sefelnasr, Abdel Azim Ebraheem, Luqman Ali, Faisal Baig, Mohsen Sherif

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Machine learning applied to the design and optimization of polymeric materials: A review by Sudarsan M. Pai, Karim A. Shah, Sruthi Sunder, Rodrigo Q. Albuquerque, Christian Brütting, Holger Ruckdäschel

“…Machine learning (ML) offers a promising solution to this issue. By leveraging ML algorithms, researchers can accelerate the design process, predict material properties more rapidly, and optimize formulations. …”
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Oxidative balance score predicts chronic kidney disease risk in overweight adults: a NHANES-based machine learning study by Leying Zhao, Leying Zhao, Cong Zhao, Cong Zhao, Yuchen Fu, Yuchen Fu, Xiaochang Wu, Xiaochang Wu, Xuezhe Wang, Xuezhe Wang, Yaoxian Wang, Yaoxian Wang, Yaoxian Wang, Huijuan Zheng

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A mobile app to improve adherence to colorectal cancer screening and post polypectomy surveillance guidelines by María A. Casas, Francisco Schlottmann, Leandro Steinberg, Xavier Bessa, Anna Serradesanferm, Angels Pozo, Sonia Torres, Antoni Castells, Francesc Balaguer, Jaume Grau, Lisandro Pereyra, María Pellisé

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Machine learning and discriminant analysis model for predicting benign and malignant pulmonary nodules by Zhi Li, Wenjing Zhang, Jinyi Huang, Ling Lu, Dongming Xie, Jinrong Zhang, Jiamin Liang, Yuepeng Sui, Linyuan Liu, Jianjun Zou, Ao Lin, Lei Yang, Fuman Qiu, Zhaoting Hu, Mei Wu, Yibin Deng, Xin Zhang, Jiachun Lu

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Flow Characteristics by Blood Speckle Imaging in Non-Stenotic Congenital Aortic Root Disease Surrounding Valve-Preserving Operations by Shihao Liu, Justin T. Tretter, Lama Dakik, Hani K. Najm, Debkalpa Goswami, Jennifer K. Ryan, Elias Sundström

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Neutrino interaction vertex reconstruction in DUNE with Pandora deep learning by A. Abed Abud, R. Acciarri, M. A. Acero, M. R. Adames, G. Adamov, M. Adamowski, D. Adams, M. Adinolfi, C. Adriano, A. Aduszkiewicz, J. Aguilar, F. Akbar, F. Alemanno, N. S. Alex, K. Allison, M. Alrashed, A. Alton, R. Alvarez, T. Alves, A. Aman, H. Amar, P. Amedo, J. Anderson, C. Andreopoulos, M. Andreotti, M. P. Andrews, F. Andrianala, S. Andringa, F. Anjarazafy, D. Antic, M. Antoniassi, M. Antonova, A. Aranda-Fernandez, L. Arellano, E. Arrieta Diaz, M. A. Arroyave, J. Asaadi, A. Ashkenazi, D. Asner, L. Asquith, E. Atkin, D. Auguste, A. Aurisano, V. Aushev, D. Autiero, D. Ávila Gómez, M. B. Azam, F. Azfar, A. Back, H. Back, J. J. Back, I. Bagaturia, L. Bagby, D. Baigarashev, S. Balasubramanian, A. Balboni, P. Baldi, W. Baldini, J. Baldonedo, B. Baller, B. Bambah, R. Banerjee, F. Barao, D. Barbu, G. Barenboim, P. Barham Alzás, G. J. Barker, W. Barkhouse, G. Barr, J. Barranco Monarca, A. Barros, N. Barros, D. Barrow, J. L. Barrow, A. Basharina-Freshville, A. Bashyal, V. Basque, D. Basu, C. Batchelor, L. Bathe-Peters, J. B. R. Battat, F. Battisti, F. Bay, M. C. Q. Bazetto, J. L. L. Bazo Alba, J. F. Beacom, E. Bechetoille, B. Behera, E. Belchior, B. Bell, G. Bell, L. Bellantoni, G. Bellettini, V. Bellini, O. Beltramello, C. Benitez Montiel, D. Benjamin, F. Bento Neves, J. Berger, S. Berkman, J. Bernal, P. Bernardini, A. Bersani, E. Bertolini, S. Bertolucci, M. Betancourt, A. Betancur Rodríguez, Y. Bezawada, A. T. Bezerra, A. Bhat, V. Bhatnagar, J. Bhatt, M. Bhattacharjee, M. Bhattacharya, S. Bhuller, B. Bhuyan, S. Biagi, J. Bian, K. Biery, B. Bilki, M. Bishai, A. Blake, F. D. Blaszczyk, G. C. Blazey, E. Blucher, B. Bogart, J. Bogenschuetz, J. Boissevain, S. Bolognesi, T. Bolton, L. Bomben, M. Bonesini, C. Bonilla-Diaz, A. Booth, F. Boran, R. Borges Merlo, N. Bostan, G. Botogoske, B. Bottino, R. Bouet, J. Boza, J. Bracinik, B. Brahma, D. Brailsford, F. Bramati, A. Branca, A. Brandt, J. Bremer, C. Brew, S. J. Brice, V. Brio, C. Brizzolari, C. Bromberg, J. Brooke, A. Bross, G. Brunetti, M. B. Brunetti, N. Buchanan, H. Budd, J. Buergi, A. Bundock, D. Burgardt, S. Butchart, G. Caceres V., T. Cai, R. Calabrese, R. Calabrese, J. Calcutt, L. Calivers, E. Calvo, A. Caminata, A. F. Camino, W. Campanelli, A. Campani, A. Campos Benitez, N. Canci, J. Capó, I. Caracas, D. Caratelli, D. Carber, J. M. Carceller, G. Carini, B. Carlus, M. F. Carneiro, P. Carniti, I. Caro Terrazas, H. Carranza, N. Carrara, L. Carroll, T. Carroll, A. Carter, E. Casarejos, D. Casazza, J. F. Castaño Forero, F. A. Castaño, A. Castillo, C. Castromonte, E. Catano-Mur, C. Cattadori, F. Cavalier, F. Cavanna, S. Centro, G. Cerati, C. Cerna, A. Cervelli, A. Cervera Villanueva, M. Chalifour, A. Chappell, A. Chatterjee, B. Chauhan, H. Chen, M. Chen, W. C. Chen, Y. Chen, Z. Chen, D. Cherdack, S. S. Chhibra, C. Chi, F. Chiapponi, R. Chirco, N. Chitirasreemadam, K. Cho, S. Choate, G. Choi, D. Chokheli, P. S. Chong, B. Chowdhury, D. Christian, M. Chung, E. Church, M. F. Cicala, M. Cicerchia, V. Cicero, R. Ciolini, P. Clarke, G. Cline, A. G. Cocco, J. A. B. Coelho, A. Cohen, J. Collazo, J. Collot, J. M. Conrad, M. Convery, K. Conway, S. Copello, P. Cova, C. Cox, L. Cremonesi, J. I. Crespo-Anadón, M. Crisler, E. Cristaldo, J. Crnkovic, G. Crone, R. Cross, A. Cudd, C. Cuesta, Y. Cui, F. Curciarello, D. Cussans, J. Dai, O. Dalager, W. Dallaway, R. D’Amico, H. da Motta, Z. A. Dar, R. Darby, L. Da Silva Peres, Q. David, G. S. Davies, S. Davini, J. Dawson, R. De Aguiar, P. De Almeida, P. Debbins, M. P. Decowski, A. de Gouvêa, P. C. De Holanda, P. De Jong, P. Del Amo Sanchez, G. De Lauretis, A. Delbart, D. Delepine, M. Delgado, A. Dell’Acqua, G. Delle Monache, N. Delmonte, P. De Lurgio, R. Demario, G. De Matteis, J. R. T. de Mello Neto, D. M. DeMuth, S. Dennis, C. Densham, P. Denton, G. W. Deptuch, A. De Roeck, V. De Romeri, J. P. Detje, J. Devine, R. Dharmapalan, M. Dias, A. Diaz, J. S. Díaz, F. Díaz, F. Di Capua, A. Di Domenico, S. Di Domizio, S. Di Falco, L. Di Giulio, P. Ding, L. Di Noto, E. Diociaiuti, V. Di Silvestre, C. Distefano, R. Diurba, M. Diwan, Z. Djurcic, S. Dolan, M. Dolce, F. Dolek, M. J. Dolinski, D. Domenici, S. Donati, Y. Donon, S. Doran, D. Douglas, T. A. Doyle, F. Drielsma, L. Duarte, D. Duchesneau, K. Duffy, K. Dugas, P. Dunne, B. Dutta, H. Duyang, D. A. Dwyer, A. S. Dyshkant, S. Dytman, M. Eads, A. Earle, S. Edayath, D. Edmunds, J. Eisch, W. Emark, P. Englezos, A. Ereditato, T. Erjavec, C. O. Escobar, J. J. Evans, E. Ewart, A. C. Ezeribe, K. Fahey, A. Falcone, M. Fani’, C. Farnese, S. Farrell, Y. Farzan, J. Felix, Y. Feng, E. Fernandez-Martinez, M. Ferreira da Silva, G. Ferry, E. Fialova, L. Fields, P. Filip, A. Filkins, F. Filthaut, G. Fiorillo, M. Fiorini, S. Fogarty, W. Foreman, J. Fowler, J. Franc, K. Francis, D. Franco, J. Franklin, J. Freeman, J. Fried, A. Friedland, M. Fucci, S. Fuess, I. K. Furic, K. Furman, A. P. Furmanski, R. Gaba, A. Gabrielli, A. M. Gago, F. Galizzi, H. Gallagher, M. Galli, N. Gallice, V. Galymov, E. Gamberini, T. Gamble, R. Gandhi, S. Ganguly, F. Gao, S. Gao, D. Garcia-Gamez, M. Á. García-Peris, F. Gardim, S. Gardiner, D. Gastler, A. Gauch, P. Gauzzi, S. Gazzana, G. Ge, N. Geffroy, B. Gelli, S. Gent, L. Gerlach, A. Ghosh, T. Giammaria, D. Gibin, I. Gil-Botella, S. Gilligan, A. Gioiosa, S. Giovannella, A. K. Giri, C. Giugliano, V. Giusti, D. Gnani, O. Gogota, S. Gollapinni, K. Gollwitzer, R. A. Gomes, L. V. Gomez Bermeo, L. S. Gomez Fajardo, D. Gonzalez-Diaz, M. C. Goodman, S. Goswami, C. Gotti, J. Goudeau, E. Goudzovski, C. Grace, E. Gramellini, R. Gran, E. Granados, P. Granger, C. Grant, D. R. Gratieri, G. Grauso, P. Green, S. Greenberg, J. Greer, W. C. Griffith, K. Grzelak, L. Gu, W. Gu, V. Guarino, M. Guarise, R. Guenette, M. Guerzoni, D. Guffanti, A. Guglielmi, B. Guo, F. Y. Guo, V. Gupta, G. Gurung, D. Gutierrez, P. Guzowski, M. M. Guzzo, S. Gwon, A. Habig, L. Haegel, L. Hagaman, A. Hahn, J. Hakenmüller, T. Hamernik, P. Hamilton, J. Hancock, M. Handley, F. Happacher, D. A. Harris, A. L. Hart, J. Hartnell, T. Hartnett, J. Harton, T. Hasegawa, C. M. Hasnip, R. Hatcher, S. Hawkins, J. Hays, M. He, A. Heavey, K. M. Heeger, A. Heindel, J. Heise, P. Hellmuth, L. Henderson, K. Herner, V. Hewes, A. Higuera, C. Hilgenberg, A. Himmel, E. Hinkle, L. R. Hirsch, J. Ho, J. Hoefken Zink, J. Hoff, A. Holin, T. Holvey, C. Hong, E. Hoppe, S. Horiuchi, G. A. Horton-Smith, R. Hosokawa, T. Houdy, B. Howard, R. Howell, I. Hristova, M. S. Hronek, J. Huang, R. G. Huang, X. Huang, Z. Hulcher, G. Iles, N. Ilic, A. M. Iliescu, R. Illingworth, G. Ingratta, A. Ioannisian, B. Irwin, M. Ismerio Oliveira, C. M. Jackson, V. Jain, E. James, W. Jang, B. Jargowsky, D. Jena, I. Jentz, X. Ji, C. Jiang, J. Jiang, A. Jipa, J. H. Jo, F. R. Joaquim, W. Johnson, C. Jollet, R. Jones, N. Jovancevic, M. Judah, C. K. Jung, K. Y. Jung, T. Junk, Y. Jwa, M. Kabirnezhad, A. C. Kaboth, I. Kadenko, O. Kalikulov, D. Kalra, M. Kandemir, D. M. Kaplan, G. Karagiorgi, G. Karaman, A. Karcher, Y. Karyotakis, S. P. Kasetti, L. Kashur, A. Kauther, N. Kazaryan, L. Ke, E. Kearns, P. T. Keener, K. J. Kelly, R. Keloth, E. Kemp, O. Kemularia, Y. Kermaidic, W. Ketchum, S. H. Kettell, N. Khan, A. Khvedelidze, D. Kim, J. Kim, M. J. Kim, S. Kim, B. King, M. King, M. Kirby, A. Kish, J. Klein, J. Kleykamp, A. Klustova, T. Kobilarcik, L. Koch, K. Koehler, L. W. Koerner, D. H. Koh, M. Kordosky, T. Kosc, V. A. Kostelecký, K. Kothekar, I. Kotler, M. Kovalcuk, W. Krah, R. Kralik, M. Kramer, L. Kreczko, F. Krennrich, T. Kroupova, S. Kubota, M. Kubu, V. A. Kudryavtsev, G. Kufatty, S. Kuhlmann, J. Kumar, P. Kumar, P. Kumar, S. Kumaran, J. Kunzmann, R. Kuravi, V. Kus, T. Kutter, J. Kvasnicka, T. Labree, T. Lackey, I. Lalău, A. Lambert, B. J. Land, C. E. Lane, N. Lane, K. Lang, T. Langford, M. Langstaff, F. Lanni, J. Larkin, P. Lasorak, D. Last, A. Laundrie, G. Laurenti, E. Lavaut, P. Laycock, I. Lazanu, R. LaZur, M. Lazzaroni, T. Le, S. Leardini, J. Learned, T. LeCompte, G. Lehmann Miotto, R. Lehnert, M. Leitner, H. Lemoine, D. Leon Silverio, L. M. Lepin, J.-Y. Li, S. W. Li, Y. Li, H. Liao, R. Lima, C. S. Lin, D. Lindebaum, S. Linden, R. A. Lineros, A. Lister, B. R. Littlejohn, H. Liu, J. Liu, Y. Liu, S. Lockwitz, I. Lomidze, K. Long, T. V. Lopes, J. Lopez, I. López de Rego, N. López-March, J. M. LoSecco, W. C. Louis, A. Lozano Sanchez, X.-G. Lu, K. B. Luk, X. Luo, E. Luppi, A. A. Machado, P. Machado, C. T. Macias, J. R. Macier, M. MacMahon, S. Magill, C. Magueur, K. Mahn, A. Maio, A. Major, K. Majumdar, A. Malige, S. Mameli, M. Man, R. C. Mandujano, J. Maneira, S. Manly, A. Mann, K. Manolopoulos, M. Manrique Plata, S. Manthey Corchado, V. N. Manyam, L. Manzanillas-Velez, M. Marchan, A. Marchionni, W. Marciano, D. Marfatia, C. Mariani, J. Maricic, F. Marinho, A. D. Marino, T. Markiewicz, F. Das Chagas Marques, C. Marquet, M. Marshak, C. M. Marshall, J. Marshall, L. Martina, J. Martín-Albo, N. Martinez, D. A. Martinez Caicedo, M. Martinez-Casales, F. Martínez López, P. Martínez Miravé, S. Martynenko, V. Mascagna, A. Mastbaum, M. Masud, F. Matichard, G. Matteucci, J. Matthews, C. Mauger, N. Mauri, K. Mavrokoridis, I. Mawby, F. Mayhew, R. Mazza, T. McAskill, N. McConkey, K. S. McFarland, C. McGrew, A. McNab, C. McNulty, L. Meazza, V. C. N. Meddage, M. Mehmood, B. Mehta, P. Mehta, F. Mei, P. Melas, L. Mellet, O. Mena, H. Mendez, D. P. Méndez, A. P. Mendonca, A. Menegolli, G. Meng, A. C. E. A. Mercuri, A. Meregaglia, M. D. Messier, S. Metallo, W. Metcalf, M. Mewes, H. Meyer, T. Miao, J. Micallef, A. Miccoli, G. Michna, R. Milincic, F. Miller, G. Miller, W. Miller, A. Minotti, L. Miralles, C. Mironov, S. Miryala, S. Miscetti, C. S. Mishra, P. Mishra, S. R. Mishra, A. Mislivec, D. Mladenov, I. Mocioiu, A. Mogan, R. Mohanta, T. A. Mohayai, N. Mokhov, J. Molina, L. Molina Bueno, E. Montagna, A. Montanari, C. Montanari, D. Montanari, D. Montanino, L. M. Montaño Zetina, M. Mooney, A. F. Moor, M. Moore, Z. Moore, D. Moreno, G. Moreno-Granados, O. Moreno-Palacios, L. Morescalchi, R. Moretti, C. Morris, C. Mossey, C. A. Moura, G. Mouster, W. Mu, L. Mualem, J. Mueller, M. Muether, F. Muheim, A. Muir, Y. Mukhamejanov, A. Mukhamejanova, M. Mulhearn, D. Munford, L. J. Munteanu, H. Muramatsu, J. Muraz, M. Murphy, T. Murphy, J. Muse, A. Mytilinaki, J. Nachtman, Y. Nagai, S. Nagu, D. Naples, S. Narita, J. Nava, A. Navrer-Agasson, N. Nayak, M. Nebot-Guinot, A. Nehm, J. K. Nelson, O. Neogi, J. Nesbit, M. Nessi, D. Newbold, M. Newcomer, R. Nichol, F. Nicolas-Arnaldos, A. Nielsen, A. Nikolica, J. Nikolov, E. Niner, K. Nishimura, A. Norman, A. Norrick, P. Novella, A. Nowak, J. A. Nowak, M. Oberling, J. P. Ochoa-Ricoux, S. Oh, S. B. Oh, A. Olivier, T. Olson, Y. Onel, Y. Onishchuk, A. Oranday, M. Osbiston, J. A. Osorio Vélez, L. O’Sullivan, L. Otiniano Ormachea, L. Pagani, G. Palacio, O. Palamara, S. Palestini, J. M. Paley, M. Pallavicini, C. Palomares, S. Pan, M. Panareo, P. Panda, V. Pandey, W. Panduro Vazquez, E. Pantic, V. Paolone, A. Papadopoulou, R. Papaleo, D. Papoulias, S. Paramesvaran, S. Parke, S. Parsa, Z. Parsa, S. Parveen, M. Parvu, D. Pasciuto, S. Pascoli, L. Pasqualini, J. Pasternak, G. Patiño Camargo, J. L. Paton, C. Patrick, L. Patrizii, R. B. Patterson, T. Patzak, A. Paudel, J. Paul, L. Paulucci, Z. Pavlovic, G. Pawloski, D. Payne, A. Peake, V. Pec, E. Pedreschi, S. J. M. Peeters, W. Pellico, E. Pennacchio, A. Penzo, O. L. G. Peres, Y. F. Perez Gonzalez, L. Pérez-Molina, C. Pernas, J. Perry, D. Pershey, G. Pessina, G. Petrillo, C. Petta, R. Petti, M. Pfaff, V. Pia, L. Pickering, L. Pierini, F. Pietropaolo, V. L. Pimentel, G. Pinaroli, S. Pincha, J. Pinchault, K. Pitts, K. Pletcher, K. Plows, C. Pollack, T. Pollmann, F. Pompa, X. Pons, N. Poonthottathil, V. Popov, F. Poppi, J. Porter, L. G. Porto Paixão, M. Potekhin, M. Pozzato, R. Pradhan, T. Prakash, M. Prest, F. Psihas, D. Pugnere, D. Pullia, X. Qian, J. Queen, J. L. Raaf, M. Rabelhofer, V. Radeka, J. Rademacker, B. Radics, F. Raffaelli, A. Rafique, E. Raguzin, A. Rahe, S. Rajagopalan, M. Rajaoalisoa, I. Rakhno, L. Rakotondravohitra, M. A. Ralaikoto, L. Ralte, M. A. Ramirez Delgado, B. Ramson, S. S. Randriamanampisoa, A. Rappoldi, G. Raselli, T. Rath, P. Ratoff, R. Ray, H. Razafinime, R. F. Razakamiandra, E. M. Rea, J. S. Real, B. Rebel, R. Rechenmacher, J. Reichenbacher, S. D. Reitzner, E. Renner, S. Repetto, S. Rescia, F. Resnati, Diego Restrepo, C. Reynolds, M. Ribas, S. Riboldi, C. Riccio, G. Riccobene, J. S. Ricol, M. Rigan, A. Rikalo, E. V. Rincón, A. Ritchie-Yates, S. Ritter, D. Rivera, A. Robert, A. Roberts, E. Robles, J. L. Rocabado Rocha, M. Roda, M. J. O. Rodrigues, J. Rodriguez Rondon, S. Rosauro-Alcaraz, P. Rosier, D. Ross, M. Rossella, M. Rossi, N. Roy, P. Roy, P. Roy, C. Rubbia, D. Rudik, A. Ruggeri, G. Ruiz Ferreira, K. Rushiya, B. Russell, S. Sacerdoti, N. Saduyev, S. K. Sahoo, N. Sahu, S. Sakhiyev, P. 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Improving health-promoting workplaces through interdisciplinary approaches. The example of WISEWORK-C, a cluster of five work and health projects within Horizon-Europe by Deborah De Moortel, Michelle C Turner, Ella Arensman, Alex Binh Vinh Duc Nguyen, Víctor Gonzalez

“…These shifts are giving rise to new forms of work (eg, hybrid work, gig economy jobs) and reshaping management and work organization practices (eg, through algorithmic decision-making or digital monitoring of worker performance). …”
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