Severe bronchiolitis before and after the COVID-19 pandemic: a retrospective database analysis by the Italian Network of PICU study group (TIPNet) by Francesca Izzo, Rosanna I. Comoretto, Angela Amigoni, Marco Daverio, Elena Zoia, Veronica Diotto, Francesco Sacco, Claudio Nettuno, Anna Tessari, Enzo Picconi, Maria Cristina Mondardini, Gaia Milvia Bregant, Andrea Wolfler, Dario Gregori, Anna Camporesi

“…We compared patients from pre-COVID and post-COVID eras, excluding patients from the 2020–2021 season due to low numbers. Logistic regression models were used to assess the impact of the pre-/post-COVID period on the need for invasive ventilation. …”
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AI-Driven predicting and optimizing lignocellulosic sisal fiber-reinforced lightweight foamed concrete: A machine learning and metaheuristic approach for sustainable construction by Mohamed Sahraoui, Aissa Laouissi, Yacine Karmi, Abderazek Hammoudi, Mostefa Hani, Yazid Chetbani, Ahmed Belaadi, Ibrahim M.H. Alshaikh, Djamel Ghernaout

“…Statistical validation demonstrated the model's stability and reliability, evidenced by a notably low standard deviation (SD = 2.15 × 10⁻⁵), indicating minimal variability in predictions. …”
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Impact of Fengyun-4A Atmospheric Motion Vector Data Assimilation on PM_2.5 Simulation by Kaiqiang Gu, Jinyan Wang, Shixiang Su, Jiangtao Zhu, Yu Zhang, Feifan Bian, Yi Yang

“…Mechanistic analysis revealed that low wind speeds and weak atmospheric divergence restricted pollutant dispersion, resulting in higher near-surface concentrations. …”
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Dried blood spot as alternative specimen for molecular epidemiology studies among HCV/HIV coinfected patients by Geane Flores, Barbara Vieira Lago, Amanda R Caetano, Jessica Silva, Vanessa Marques, Carlos Eduardo Brandão-Mello, Marcia Amendola-Pires, Jose Pilotto, Lia Lewis-Ximenez, Livia Melo Villar

“…The aim of this study is to evaluate the HCV genetic variability in HIV/HCV individuals by correlating paired serum and DBS samples. …”
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Modeling of peatland fire risk early warning based on water dynamics by B. Kartiwa, . Maswar, A. Dariah, . Suratman, N.L. Nurida, N. Heryani, P. Rejekiningrum, H. Sosiawan, S.H. Adi, I. Lenin, S. Nurzakiah, Ch. Tafakresnanto

“…Furthermore, this study has identified a threshold of low and high peat fire risk in the area with less than 104 percent and 129 percent dry weight of soil moisture content, respectively. …”
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Individual Choices of Wintering Areas Drive Adult Survival Heterogeneity in a Long‐Lived Seabird by M. Genovart, R. Ramos, J. M. Igual, A. Sanz‐Aguilar, G. Tavecchia, A. Rotger, T. Militão, D. Vicente‐Sastre, B. Garcia‐Urdangarin, R. Pradel, J. González‐Solís, D. Oro

“…However, these technologies typically involve a limited number of tracked individuals, which gives low statistical power for any robust estimate of survival probabilities. …”
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Deviations of Boundary Layer Height and Meteorological Parameters Between Ground-Based Remote Sensing and ERA5 over the Complex Terrain of the Mongolian Plateau by Yiming Wei, Yankun Sun, Yongjing Ma, Yulong Tan, Xinbing Ren, Kecheng Peng, Simin Yang, Zhong Lin, Xingjun Zhou, Yuanzhe Ren, Masroor Ahmed, Yongli Tian, Jinyuan Xin

“…ERA5 also struggles to reproduce low-level wind directions accurately. In winter, correlation coefficients range from 0.43 to 0.64 below 200 m and improve to above 0.7 at 500 m. …”
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Analysis of germination characteristics and metabolome of Medicago ruthenica in response to saline-alkali stress by Xiaoli Wei, Xiaoli Wei, Jie Wang, Jie Wang, Chengti Xu, Chengti Xu, Yuanyuan Zhao, Yuanyuan Zhao, Xiaojian Pu, Xiaojian Pu, Wei Wang, Wei Wang, Guangxin Lu

“…Additionally, the metabolite changes in the domesticated species under saline-alkali stress were examined using metabolomics technology.ResultsThe results indicated that low concentrations of NaCl stress did not significantly inhibit the germination of M. ruthenica seeds; rather, it promoted germination to some extent. …”
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Adaptation analysis of two Asteraceae invasive plants in Lhasa, Tibet by Zhefei Zeng, Ziyi Liang, Yan Chen, Qi Shu, Junru Li, Norzin Tso, Mengyan Chen, Shutong Zhang, Xin Tan, La Qiong, Junwei Wang

“…Although T. minuta exhibited generally low germination rates across all burial depths, the individuals that successfully emerged demonstrated vigorous early growth, particularly under deeper burial conditions. …”
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The efficacy and peripheral blood predictors in recurrent platinum-resistant ovarian cancer patients treated with immune checkpoint inhibitors by Baoyue Pan, Xiaojing Zheng, Yongwen Huang, Wei Wei, Shije Xu, Siyu Chen, Jiaxin Yin, Yu Zhang, Jundong Li, Min Zheng

“…According to the results of the multivariate analysis, a high level of C-reactive protein (CRP) (> 10) independently predicted overall survival. Age, low-density lipoprotein cholesterol (LDL-C), tumor necrosis factor-alpha (TNF-α), and MCP-1 were independently associated with progression-free survival. …”
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A retrospective cohort study of premature neonatal mortality rates and contributing factors in a tertiary referral NICU in Addis Ababa, Ethiopia from 2022 to 2023 by Gregory C. Valentine, Krystle M. Perez, Olivia C. Brandon, Sharla Rent, Gal Barbut, Merhawit Abadi, Gesit Metaferia, Redeat Workneh, Mahlet Abayneh

“…Mortality was inversely related to birthweight with extremely low birthweight neonates (≤1000g) having 84 % mortality. …”
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Exploring the Association Between <i>Torquetenovirus</i> Viral Load and Immunosuppressive Drug Exposure in Lung Transplantation by Victor M. Mora, Emilio Rodrigo, David Iturbe-Fernández, Sheila Izquierdo, Sandra Tello, Adalberto Benito-Hernández, Maria Mar García-Saiz, David San Segundo, María Victoria Francia, Jose M. Cifrián

“…LungTx in the fourth quartile of TTV load at the third week and the third month exhibited a low risk of acute rejection (OR 0.113, 95% CI 0.013–0.953, <i>p</i> = 0.045) and a high risk of opportunistic infection from month 3 to 6 (OR 15.200, 95% CI 1.525–151.511, <i>p</i> = 0.020), respectively. …”
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Artificial neural network-based forecasting of air temperature reduction in a tube bank under electric field by Ekuong Tang, Attakorn Asanakham, Thoranis Deethayat, Tanongkiat Kiatsiriroat

“…This study aims to investigate the potential of Artificial Neural Networks (ANN) in predicting the heat transfer behavior of air as it flows through a tube bank with low temperature and operates under an electric field. …”
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Long-term exposure to PM2.5 and cardiorespiratory mortality: an ecological small-area study in five cities in Colombia by Diana Marín, Víctor Herrera, Juan Gabriel Piñeros-Jiménez, Oscar Alberto Rojas-Sánchez, Sonia C. Mangones, Yurley Rojas, Jhon Cáceres, Dayana M. Agudelo-Castañeda, Néstor Y. Rojas, Luis Carlos Belalcazar-Ceron, Jonathan Ochoa-Villegas, María Leonor Montes-Mejía, Veronica Maria Lopera-Velasquez, Sanit María Castillo-Navarro, Alexander Torres-Prieto, Jill Baumgartner, Laura A. Rodríguez-Villamizar

“…However, little is known about its distribution and health impact in large cities in low-middle-income countries where population exposure has increased during the last decades. …”
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Privacy Matters: Experiences of Rural and Remote Emergency Department Patients – A Mixed-Methods Research Conducted in Newfoundland and Labrador, Canada by Aswathy Geetha Manukumar, Matthew Miller, Christopher Patey, Hensley H Mariathas, Nahid Rahimipour Anaraki, Anna Walsh, Oliver Hurley, Dorothy Senior, Holly Etchegary, Paul Norman, Peter Wang, Shabnam Asghari

“…Our primary outcome measure was patients’ privacy experience in the ED. The independent variables in our study were age, gender, ED location, patient-reported wait times, reason for ED visit, and healthcare provider involved in care. …”
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Artificial Intelligence in Breast Cancer Diagnosis and Treatment: Advances in Imaging, Pathology, and Personalized Care by Petar Uchikov, Usman Khalid, Granit Harris Dedaj-Salad, Dibya Ghale, Harney Rajadurai, Maria Kraeva, Krasimir Kraev, Bozhidar Hristov, Mladen Doykov, Vanya Mitova, Maria Bozhkova, Stoyan Markov, Pavel Stanchev

“…Breast cancer is the most prevalent cancer worldwide, affecting both low- and middle-income countries, with a growing number of cases. …”
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Amikacin Dosing Adjustment in Critically Ill Oncologic Patients: A Study with Real-World Patients, PBPK Analysis, and Digital Twins by Juliana Queiroz da Silva, Natália Valadares de Moraes, Rita Estrela, Diogenes Coelho, Diego Feriani, Karen Migotto, Pedro Caruso, Ivan Leonardo França e Silva, Daiane de Araujo Oliveira, João Paulo Telles, Fernanda de Lima Moreira

“…However, it does not eliminate the need for TDM due to unexplained variability still not accounted for by the PBPK model.…”
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Private, public, and bottled drinking water: Shared contaminant-mixture exposures and effects challenge by Paul M. Bradley, Kristin M. Romanok, Kelly L. Smalling, Stephanie E. Gordon, Bradley J. Huffman, Katie Paul Friedman, Daniel L. Villeneuve, Brett R. Blackwell, Suzanne C. Fitzpatrick, Michael J. Focazio, Elizabeth Medlock-Kakaley, Shannon M. Meppelink, Ana Navas–Acien, Anne E. Nigra, Molly L. Schreiner

“…Thus, the results emphasize the need for improved understanding of the adverse human-health implications of long-term exposures to low–level inorganic–/organic–contaminant mixtures across all three distribution pipelines and do not support commercial messaging of BW as a systematically safer alternative to public-TW. …”
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How Useful Are Instrumental Examinations in Newly Diagnosed Children with ASD? Insights from Real-World Practice by Marilia Barbosa de Matos, Vittoria Vendrametto, Federica Molaschi, Federica Graziano, Martina Vacchetti, Barbara Svevi, Benedetto Vitiello, Daniele Marcotulli, Giuliana Delia, Franco Fioretto, Andrea Martinuzzi, Chiara Davico

“…In the retrospective study, instrumental tests revealed a low rate of clinically significant findings. Clinically relevant genetic abnormalities were detected in 7.9% of CGH-array tests. …”
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Predictors of community-based health insurance enrollment among reproductive-age women in Ethiopia based on the EDHS 2019 dataset: a study using SHAP analysis technique, 2024 by Sisay Yitayih Kassie, Solomon Abuhay Abebe, Mekdes Wondirad, Samrawit Fantaw Muket, Ayantu Melke, Alex Ayenew Chereka, Adamu Ambachew Shibabaw, Abiy Tasew Dubale, Yitayish Damtie, Habtamu Setegn Ngusie, Agmasie Damtew Walle

“…The findings of this research indicate that sociodemographic, sociocultural, and economic factors should be considered when developing and implementing health policies aimed at increasing enrollment among reproductive-age women in Ethiopia, particularly in rural areas, as these factors significantly impact low enrollment levels.…”
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