Inferior Vena Cava Filter and Catheter-based Thrombolysis for Treatment of Massive Deep Vein Thrombosis: A Case Report by Sangram S Mangudkar, Sanket Genuji Shinde, Varun Bhaskar Lingneni, Satbir Kaur Malik, Sai Sirisha Nallani

“…Untreated DVT in the lower extremities can enlarge and result in further complications such as Post Thrombotic Syndrome (PTS) and an elevated risk of pulmonary thromboembolism. …”
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Weighing temporal fluctuations of drought features in Rwanda through the implementation of the standardized precipitation evapotranspiration index and standardized precipitation in... by Kazora Jonah, Zhu Weijun, Kyaw Oo Than, Temesgen Gebremariam Asfaw, Emmanuel Adu Gyamfi Kedjanyi, Abraham Okrah, Akimana Diane, Mathieu Mbati Mugunga

“…Climate change poses significant challenges globally, affecting weather patterns and leading to more frequent and severe extreme events such as droughts. In Rwanda, a country highly reliant on rainfed agriculture, understanding the changing nature of droughts is crucial for effective climate adaptation and resilience-building efforts. …”
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Dynamic Imprints of Colliding-wind Dust Formation from WR 140 by Emma P. Lieb, Ryan M. Lau, Jennifer L. Hoffman, Michael F. Corcoran, Macarena Garcia Marin, Theodore R. Gull, Kenji Hamaguchi, Yinuo Han, Matthew J. Hankins, Olivia C. Jones, Thomas I. Madura, Sergey V. Marchenko, Hideo Matsuhara, Florentin Millour, Anthony F. J. Moffat, Mark R. Morris, Patrick W. Morris, Takashi Onaka, Marshall D. Perrin, Armin Rest, Noel Richardson, Christopher M. P. Russell, Joel Sanchez-Bermudez, Anthony Soulain, Peter Tuthill, Gerd Weigelt, Peredur M. Williams

“…The “textbook” example of an episodic dust-producing WR binary, WR 140 (HD 193793), provides us with an ideal laboratory for investigating the dust physics and kinematics in an extreme environment. This study is among the first to utilize two separate JWST observations, from Cycle 1 ERS (2022 July) and Cycle 2 (2023 September), to measure WR 140’s dust kinematics and confirm its morphology. …”
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Short‐ and Long‐Term Efficacy of Hyperbaric Oxygen Therapy in Irradiated Breast Cancer Patients With Long‐Standing Lymphedema: A Prospective Case Series by Imjai Chitapanarux, Siriarrayapa Chachvarat, Patumrat Sripan, Thienchai Pattarasakulchai, Nuttaya Pattamapaspong, Thanat Kanthawang, Montana Buntragulpoontawee

“…ABSTRACT Background Several studies have explored the advantage of treatment with hyperbaric oxygen (HBO) for upper extremity lymphedema in irradiated breast cancer patients and reported controversial results. …”
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Investigation on the microstructure evolution and deformation behavior of Mg–2Zn-0.5Mn-0.2Ca-xNd/yLa alloy by in-situ tensile by Jie Mi, Shengquan Liang, Shiyu Luan, Qianlong Ren, Xin Che, Peipeng Jin

“…In addition, tensile twins are produced during the tensile of the two alloys and the content is similar, but the extremely low twin content makes its effect on the mechanical properties of the two alloys negligible. …”
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Infrared Image Enhancement: A Review by Qingwang Wang, Pengcheng Jin, Yuhang Wu, Liyao Zhou, Tao Shen

“…Infrared imaging technology, based on the principle of thermal radiation, can provide clear imaging effects under these extreme conditions and has a relatively low cost of use. …”
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A qualitative exploration of owner experiences following dog adoption by Bethany Joy Moyer, Helen Zulch, Beth Ann Ventura, Oliver Burman

“…Behaviours used by owners to assess dog adjustment included: moderation of behavioural extremes (e.g. lethargy and restlessness); play; tail wagging; greeting; and learning their routine. …”
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Bacterial communities as bioindicators of climate change in freshwater ecosystems: Tank bromeliads as model systems by Daniel Di Pace Soares Penna, Gustavo Quevedo Romero, Mark P. Nessel, Angélica L. González, Valéria Maia Oliveira

“…Climate change, characterized by rising temperatures and extreme weather events, threatens tropical freshwater ecosystems. …”
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All-Cause Mortality Prediction in Subjects with Diabetes Mellitus Using a Machine Learning Model and Shapley Values by Oana Mirea, Mostafa Ghelich Oghli, Oana Neagoe, Mihaela Berceanu, Eugen Țieranu, Liviu Moraru, Victor Raicea, Ionuț Donoiu

“…Methods: We included 1969 consecutive patients with DM type 1 (T1DM, <i>n</i> = 255) and type 2 (T2DM, <i>n</i> = 1714). eXtreme Gradient Boosting (XGBoost) was used for the prediction of all-cause mortality in this cohort and the Shapley additive explanation (SHAP) was used to assess the importance of each feature of the classifier. …”
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Mesenchymal Stem Cell-Derived Extracellular Vesicles for Regenerative Applications and Radiotherapy by Ning Wang, Feifei Ma, Huijuan Song, Ningning He, Huanteng Zhang, Jianguo Li, Qiang Liu, Chang Xu

“…Tissue repair is an extremely crucial part of clinical treatment. During the course of disease treatment, surgery, chemotherapy, and radiotherapy cause tissue damage. …”
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Assessing Short-term Flood Impact on Land Use Dynamics in Iran’s Central Zagros: A Case Study of Sefid Kuh Protected Area by Soheyl Moradi, Hossein Moradi, Jafar Dolatshah, Azita Rezvani

“… Floods are extreme events that can alter the land cover and land use patterns in mountainous regions, with significant consequences for biodiversity, ecosystem services, and human well-being. …”
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Influence of human peripheral blood samples preprocessing on the quality of Hi-C libraries by M. M. Gridina, E. Vesna, M. E. Minzhenkova, N. V. Shilova, O. P. Ryzhkova, L. P. Nazarenko, E. O. Belyaeva, I. N. Lebedev, V. S. Fishman

“…The storage of whole blood samples can affect the amount and integrity of genomic DNA, and it can distort the results of subsequent analyses if the storage was not under proper conditions. The Hi-C method is extremely demanding on the input material. The necessary condition for successfully applying Hi-C and obtaining high-quality data is the preservation of the spatial chromatin organization within the nucleus. …”
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Machine learning algorithm for predict the in-hospital mortality in critically ill patients with congestive heart failure combined with chronic kidney disease by Xunliang Li, Zhijuan Wang, Wenman Zhao, Rui Shi, Yuyu Zhu, Haifeng Pan, Deguang Wang

“…Among the six models generated, the eXtreme Gradient Boosting (XGBoost) model demonstrated the highest AUC at 0.837. …”
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Numerical Simulation of Channelization Near the Wellbore due to Seepage Erosion in Unconsolidated Sands during Fluid Injection by Jin Sun, Shiguo Wu, Jingen Deng, Qingping Li, Qi Fan, Linwei Ma, Yanrui Liu

“…The results indicate that the seepage erosion plays a very significant role in the formation of the channels during fluid injection for the unconsolidated sands with extremely low strength. The formation of the channels is closely related to the duration of fluid injection, injection pressure, reservoir heterogeneity, formation plugging, and critical fluid velocity. …”
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Study on SHP2 Conformational Transition and Structural Characterization of Its High-Potency Allosteric Inhibitors by Molecular Dynamics Simulations Combined with Machine Learning by Baerlike Wujieti, Mingtian Hao, Erxia Liu, Luqi Zhou, Huanchao Wang, Yu Zhang, Wei Cui, Bozhen Chen

“…Furthermore, to biophysically interpret high-dimensional simulation trajectories, we employed interpretable machine learning methods, specifically extreme gradient boosting (XGBoost) with Shapley additive explanations (SHAP), to comprehensively analyze the simulation data. …”
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Design, defect analysis, compressive strength and surface texture characterization of Laser Powder Bed Fusion processed Ti6Al4V lattice structures by Bruno Zluhan, Shubhavardhan Ramadurga Narasimharaju, Abhijit Cholkar, Ken Thomas, Ramesh Raghavendra, Eder S.N. Lopes

“…The intricate geometries of lattices pose an extreme challenge for conventional manufacturing. …”
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Gas Seepage along the Edge of the Aquitaine Shelf (France): Origin and Local Fluxes by Livio Ruffine, Jean-Pierre Donval, Claire Croguennec, Laurent Bignon, Dominique Birot, Anne Battani, Germain Bayon, Jean-Claude Caprais, Nadine Lantéri, Denis Levaché, Stéphanie Dupré

“…The resulting values are extremely heterogeneous between seeps, ranging from 35 to 368 mLn·min−1. …”
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Voice pathology detection using machine learning algorithms based on different voice databases by Nurul Mu'azzah Abdul Latiff, Fahad Taha Al-Dhief, Nurul Fariesya Suhaila Md Sazihan, Marina Mat Baki, Nik Noordini Nik Abd. Malik, Musatafa Abbas Abbood Albadr, Ali Hashim Abbas

“…Several algorithms, including Online Sequential Extreme Learning Machine (OSELM), Support Vector Machine (SVM), Decision Tree (DT), and Naïve Bayes (NB), were evaluated using two databases: the Saarbrucken Voice Database (SVD) and the Malaysian Voice Pathology Database (MVPD). …”
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Prediction model, risk factor score and ventilator-associated pneumonia: A two-stage case-control study by Hua Meng, Yuxin Shi, Kaming Xue, Di Liu, Xiongjing Cao, Yanyan Wu, Yunzhou Fan, Fang Gao, Ming Zhu, Lijuan Xiong

“…We constructed a prediction model by least absolute shrinkage and selection operator (LASSO), random forest (RF), and extreme gradient boosting (XGBoost) models in 363 patients and 363 controls, and weighted RFS was calculated based on significant predictors. …”
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Formation of Stripped Stars from Stellar Collisions in Galactic Nuclei by Charles F. A. Gibson, Fulya Kiroğlu, James C. Lombardi Jr., Sanaea C. Rose, Hans D. Vanderzyden, Brenna Mockler, Monica Gallegos-Garcia, Kyle Kremer, Enrico Ramirez-Ruiz, Frederic A. Rasio

“…TDEs of these stripped stars may therefore exhibit even more extreme nitrogen enhancement. Using the smoothed particle hydrodynamics code StarSmasher , we provide a parameter space study of high-velocity stellar collisions involving intermediate-mass stars, analyzing the composition of the collision products. …”
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