IL-1β blockade prevents cardiotoxicity and improves the efficacy of immune checkpoint blockers and chemotherapy against pancreatic cancer in mice with obesity by Dan G Duda, Dai Fukumura, Rakesh K Jain, Peigen Huang, Patrik Andersson, Mikael J Pittet, Heena Kumra, William W Ho, Nilesh P Talele, Igor L Gomes-Santos, Marie Siwicki

“…Finally, obesity is a risk factor in PDAC that may differentially modulate ICB efficacy in a malignancy-dependent manner.Methods We investigated the mechanisms underlying irAEs induced by dual ICB therapy and sought to identify strategies to mitigate them while improving ICB efficacy in the obese setting. …”
Get full text

A multi-modal multi-branch framework for retinal vessel segmentation using ultra-widefield fundus photographs by Qihang Xie, Qihang Xie, Xuefei Li, Yuanyuan Li, Yuanyuan Li, Jiayi Lu, Jiayi Lu, Shaodong Ma, Yitian Zhao, Yitian Zhao, Jiong Zhang, Jiong Zhang

“…The segmentation network includes the Selective Fusion Module (SFM), which enhances feature extraction within the segmentation network by integrating features generated during the FFA imaging process. …”
Get full text

Exploration of slope-type geological hazard susceptibility evaluation based on dynamic correction of SBAS-InSAR technology: A case study of Kang County in Gansu Province by Rongwei Li, Pengwei Wang, Shucheng Tan, Yangbiao Zhou, Lifeng Liu, Chaodong Gou, Yalan Yu

“…Interferometric synthetic aperture radar (InSAR) technology can effectively capture surface deformation features. Therefore, this study introduces a correction framework based on small baseline subset interferometric synthetic aperture radar (SBAS-InSAR) data to improve the accuracy of geohazard susceptibility assessment results. …”
Get full text

Loss of p21 does not protect against premature ovarian insufficiency caused by alkylating agents by Xiaohui Lu, Yongli Han, Jiaming Song, Qin Wan, Pengfei Liu, Li Chen, Yufeng Wang, Pingping Xue, Xiuliang Dai

“…Ovarian reserve, folliculogenesis, cell proliferation, apoptosis and senescence, multinucleated giant cells (MGCs) and their characteristics, pro-inflammatory factors, fibrosis, ovarian stromal cell properties, and the expression of cell cycle inhibitors, including p16, p19, p27, and p53, were evaluated.ResultsFemale mice treated with alkylating agents exhibited typical features of POI, including a dramatic reduction in the number of primordial and growing follicles; defective folliculogenesis characterized by growth arrest in early-stage follicles, extensive atresia in mid-stage follicles, dysregulated FSH receptor (FSHr) expression in antral follicles, and abnormal over-activation of primordial follicles; the presence of hemosiderin-laden MGCs and fibrosis in the ovarian cortical region. p21 deficiency did not significantly mitigate these phenotypes. …”
Get full text

Predictive and Explainable Machine Learning Models for Endocrine, Nutritional, and Metabolic Mortality in Italy Using Geolocalized Pollution Data by Donato Romano, Michele Magarelli, Pierfrancesco Novielli, Domenico Diacono, Pierpaolo Di Bitonto, Nicola Amoroso, Alfonso Monaco, Roberto Bellotti, Sabina Tangaro

“…To further interpret the results, SHAP (SHapley Additive exPlanations) analysis was applied to the best-performing model to identify the most influential features driving mortality predictions. The analysis highlighted the critical roles of specific pollutants, including benzene and socio-economic factors such as life quality and instruction, in influencing mortality rates. …”
Get full text

Deformation, structure and potential hazard of a landslide based on InSAR in Banbar county, Xizang (Tibet) by Guan-hua Zhao, Heng-xing Lan, Hui-yong Yin, Lang-ping Li, Alexander Strom, Wei-feng Sun, Chao-yang Tian

“…The landslide is still active, and based on the spatial heterogeneity of landslide deformation, new recommendations have been proposed for the future management of the landslide in order to mitigate potential hazards associated with landslide instability.…”
Get full text

Extensive Tracking of Nomadic Waterbird Movements Reveals an Inland Flyway by Heather M. McGinness, Micha V. Jackson, Luke Lloyd‐Jones, Freya Robinson, Art Langston, Louis G. O'Neill, Shoshana Rapley, Melissa Piper, Micah Davies, Jessica Hodgson, John M. Martin, Richard Kingsford, Kate Brandis, Veronica Doerr, Ralph Mac Nally

“…Similarly, targeting threat mitigation within common movement routes may have disproportionate importance for long‐term population viability. …”
Get full text

Cascading effects of mammal host community composition on tick vector occurrence at the urban human–wildlife interface by Jonathan Bastard, Nichar Gregory, Pilar Fernandez, Michaela Mincone, Olivia Card, Meredith C. VanAcker, Sara Kross, Maria A. Diuk‐Wasser

“…We identified yard‐ and broader landscape‐level features associated with the presence of urban mammal species, and identified cascading effects of host community composition on tick distribution in yards, suggesting management implications for the mitigation of human exposure to tick‐borne pathogens. …”
Get full text

Patient, Physician, and Assessor Blinding in Phase III Randomized Trials in Oncology: A Meta‐Epidemiological Analysis by Gabrielle Brown, Pavlos Msaouel, Avital M. Miller, Ramez Kouzy, Timothy A. Lin, Joseph Abi Jaoude, Ethan B. Ludmir, Alexander D. Sherry

“…ABSTRACT Background Blinding mitigates bias in randomized trials and may be especially crucial for surrogate endpoints, such as progression‐free survival (PFS). …”
Get full text

Acute remote home monitoring of acutely ill patients with COVID-19: how Dutch home monitoring initiatives were organized during the pandemic by Karin Smit, Rick T. van Uum, Stella Rijks, Alma C. van de Pol, Abeer Ahmad, Roderick P. Venekamp, Frans H. Rutten, Dorien L. M. Zwart, the Dutch General Practitioners Research Consortium

“…Our aim was to describe common features of acute remote home monitoring programs for acutely ill patients with COVID-19 in the Netherlands. …”
Get full text

Soliton microcombs in X-cut LiNbO3 microresonators by Binbin Nie, Xiaomin Lv, Chen Yang, Rui Ma, Kaixuan Zhu, Ze Wang, Yanwu Liu, Zhenyu Xie, Xing Jin, Guanyu Zhang, Du Qian, Zhenyu Chen, Qiang Luo, Shuting Kang, Guowei Lv, Qihuang Gong, Fang Bo, Qi-Fan Yang

“…By precisely orienting the racetrack microresonator relative to the optical axis, we mitigate Raman nonlinearity and enable soliton formation under continuous-wave laser pumping. …”
Get full text

Optimized Hybrid Deep Learning Framework for Early Detection of Alzheimer’s Disease Using Adaptive Weight Selection by Karim Gasmi, Abdulrahman Alyami, Omer Hamid, Mohamed O. Altaieb, Osama Rezk Shahin, Lassaad Ben Ammar, Hassen Chouaib, Abdulaziz Shehab

“…The procedure commences with the pre-processing of neuroimaging data to guarantee quality and uniformity. Features are subsequently retrieved from the neuroimaging data by utilizing the EfficientNetV2B3 and Inception-ResNetV2 models. …”
Get full text

Water quality caracterization of Drean-Annaba aquifer (NE Algeria): using hydrochemical and isotopic tools by Abderahmane Yahi, Larbi Djabri, Rania Remmani, Hamza Bouguerra, Salah Eddine Tachi, Fehdi Chemseddine, Hadji Rihab, Naziha Mokadem, Younes Hamed, Salem Bouri

“…By leveraging the insights gleaned from our study, stakeholders can develop targeted strategies to mitigate salinity-related risks and ensure the sustainable utilization of water resources. …”
Get full text

Performance analysis of a novel design of an engine piston for a single cylinder by Mnati Hayder M., Hammami Maroua, Haeeb Laith Jaafer, Ksentini Olfa, Feki Nabih, Abbes Mohamed Slim, Haddar Mohamed, Hanon Muammel M.

“…The proposed design features a piston divided into two parts with a shock absorber in between to mitigate vibration and stress caused by fluctuating combustion. …”
Get full text

Cloud-based optimized deep learning framework for automated glaucoma detection using stationary wavelet transform and improved grey-wolf-optimization with ELM approach by Debendra Muduli, Syed Irfan Yaqoob, Santosh Kumar Sharma, Anuradha S. Kanade, Mohammad Shameem, Harendra S. Jangwan, P.M. Ashok Kumar, Abu Taha Zamani

“…The augmented fundus images are subsequently processed through four convolutional neural network (CNN) models—ResNet50, InceptionV3, VGG16, and Xception—to extract deep features, which are then combined into a final feature matrix. …”
Get full text

Development and validation of machine learning-based risk prediction models for ICU-acquired weakness: a prospective cohort study by Yimei Zhang, Yu Wang, Jingran Yang, Qinglan Li, Min Zhou, Jiafei Lu, Qiulan Hu, Fang Ma

“…Bedside ultrasound machines were used to assess ICUAW in patients admitted to the ICU twice, once within 24 hours of ICU admission and once on the 7th day of ICU admission. Eighteen features screened through a previous umbrella review informed the models. …”
Get full text

DBA-RTMDet: A High-Precision and Real-Time Instance Segmentation Method for Identification of Damaged Buildings in Postearthquake UAV Imagery by Kangsan Yu, Shumin Wang, Yitong Wang, Ziying Gu, Yuanhao Wang

“…Finally, to mitigate the interference caused by intact buildings that exhibit features, such as partially damaged roofs, we incorporated a cross atrous attention module. …”
Get full text

Super-Resolution of Landsat-8 Land Surface Temperature Using Kolmogorov–Arnold Networks with PlanetScope Imagery and UAV Thermal Data by Mahdiyeh Fathi, Hossein Arefi, Reza Shah-Hosseini, Armin Moghimi

“…This advancement can enhance UHI analysis, local climate monitoring, and LST modeling, providing a scalable solution for urban heat mitigation and broader environmental applications. To improve scalability and generalizability, KAN models benefit from training on a more diverse set of UAV thermal imagery, covering different seasons, land use types, and regions. …”
Get full text

When and Why Adults Abandon Lifestyle Behavior and Mental Health Mobile Apps: Scoping Review by Patrick G Kidman, Rachel G Curtis, Amanda Watson, Carol A Maher

“…Our findings also emphasize the need for longitudinal studies and a consistent definition of app abandonment to better understand and mitigate this phenomenon, thereby enhancing the effectiveness of health apps in supporting public health initiatives.…”
Get full text

Energy-Efficient Secure Cell-Free Massive MIMO for Internet of Things: A Hybrid CNN–LSTM-Based Deep-Learning Approach by Ali Vaziri, Pardis Sadatian Moghaddam, Mehrdad Shoeibi, Masoud Kaveh

“…The CNN extracts spatial features, while the LSTM captures temporal dependencies, enabling a more robust and adaptive modeling of dynamic IoT communication patterns. …”
Get full text