The Need for Pediatric Palliative Care in Romania: A Retrospective Study (2022–2023) Based on Quantitative Research and Analysis of Secondary Statistical Data by Mihaela Hizanu Dumitrache, Mădălina Duceac Covrig, Dana Elena Mîndru, Alina Plesea Condratovici, Geta Mitrea, Eva Maria Elkan, Antoanela Curici, Bogdan Gafton, Letiția Doina Duceac

“…<i>Background and Objectives</i>: Estimating the need for palliative care for children is a crucial step in addressing the needs of children facing life-threatening conditions, while providing a powerful argument to combat unacceptably wide disparities in access to care. …”
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Time to inclusion of selected medicines for priority diseases in National Essential Medicines Lists compared with the WHO Model List by Fatima Suleman, Aukje K Mantel-Teeuwisse, Hendrika A van den Ham, Moska Hellamand, Tessa E Moleman, Annet P Post

“…Introduction The WHO maintains a Model List of Essential Medicines, which guides countries in developing their National Essential Medicines List (NEML) to improve access to medicines. …”
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l-[5-11C]Glutamine PET imaging noninvasively tracks dynamic responses of glutaminolysis in non-alcoholic steatohepatitis by Yiding Zhang, Lin Xie, Masayuki Fujinaga, Yusuke Kurihara, Masanao Ogawa, Katsushi Kumata, Wakana Mori, Tomomi Kokufuta, Nobuki Nengaki, Hidekatsu Wakizaka, Rui Luo, Feng Wang, Kuan Hu, Ming-Rong Zhang

“…However, effective methods for assessing dynamic metabolic responses during interventions targeting glutaminolysis have not yet emerged. Here, we developed a positron emission tomography (PET) imaging platform using l-[5-11C]glutamine ([11C]Gln) and evaluated its efficacy in NASH mice undergoing metabolic therapy with bis-2-(5-phenylacetamido-1,3,4-thiadiazol-2-yl)ethyl sulfide (BPTES), a glutaminase 1 (GLS1) inhibitor that intervenes in the first and rate-limiting step of glutaminolysis. …”
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Effectiveness of three machine learning models for prediction of daily streamflow and uncertainty assessment by Luka Vinokić, Milan Dotlić, Veljko Prodanović, Slobodan Kolaković, Slobodan P. Simonovic, Milan Stojković

“…By enhancing model transparency and improving datasets, this study significantly advances the integration of machine learning into hydrological forecasting, offering robust methods for developing adaptive water management systems in response to changing climate conditions.…”
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Higuchi fractal dimension and deep learning on near-infrared spectroscopy for determination of free fatty acid (FFA) content in oil palm fruit by Muhammad Achirul Nanda, Kharistya Amaru, S. Rosalinda, Inna Novianty, Walidatush Sholihah, Gema Parasti Mindara, Anifatul Faricha, Tusan Park

“…Therefore, this study aimed to develop a rapid and non-destructive technique for determining FFA content based on near-infrared (NIR) spectroscopy. …”
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Real-world assessment of healthcare provided by the National Health Service: The network of regional Beaver research platforms by Federico Rea, Pietro Pugni, Dario Pescini, Luigi Palmieri, Simona Giampaoli, Flavia Carle, Giovanni Corrao

“…Two, the so-called Beaver Full front-end involves an eight-step procedure entirely driven by the study protocol. …”
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Improving Tornado Intensity Prediction by Assimilating Radar-Retrieved Vortex Winds After Vortex Relocation by Qin Xu, Kang Nai, Li Wei, Nathan Snook, Yunheng Wang, Ming Xue

“…A time–space shift method was recently developed for relocating the best ensemble member predicted tornado vortex to the radar-observed location, aiming to improve the model’s initial condition and subsequent prediction of tornadoes. …”
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Prediction of ship maneuvering motion in regular wave with gray-box modelling by Yang HAN, Lizhu HAO, Chao SHI, Ziying PAN, Jiang LU, Min GU

“…A model for hydrodynamic correction and second-order steady wave drift forces is developed on the basis of the maneuvering motion and deep neural network (DNN) data, then submitted into the mechanistic equation of maneuvering motion. …”
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Exploring interconnections among atoms, brain, society, and cosmos with network science and explainable machine learning by Daniele Caligiore, Daniele Caligiore, Anna Monreale, Anna Monreale, Giulio Rossetti, Angela Bongiorno, Giuseppe Fisicaro

“…The results of domains cross-fertilization could support practical applications, such as improving neuroprosthetics and brain-machine interfaces by leveraging criticality in materials science and neuroscience or developing advanced materials for space exploration. …”
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Sociocultural factors affecting the incidence of road traffic crashes among drivers: An exploratory qualitative study by Gholamreza Masoumi, Davoud Khorasani Zavareh, Zahra Haghdoust, Abbas Ebadi, Shandiz Moslehi

“…Understanding these factors based on stakeholders’ experiences, along with efforts to control and improve them, can be recognized as an effective step toward improving traffic safety in Iran.…”
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Improving the Documentation of Causes of Death Certificates Based on the International Classification of Diseases Perinatal Mortality (ICD‐PM): The Impact of a Mixed Method Approac... by Masoumeh Jafari, Marziyhe Meraji, Hadi Tehrani, Masoumeh Mirteimouri, Mohammad Heidarzadeh

“…Abstract Background and Aims To reduce the number of preventable perinatal deaths, the first step is to identify their causes, the World Health Organization (WHO) has developed the International Classification of Diseases Perinatal Mortality (ICD‐PM) system for this purpose. …”
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A Practical Framework for ASFV Disinfectant Evaluation: Differentiating Cytopathic Effects from Cytotoxicity via Integrated Analytical Methods by Sok Song, Kyu-Sik Shin, Su-Jeong Kim, Yong Yi Joo, Bokhee Han, So-Hee Park, Hyun-Ok Ku, Wooseog Jeong, Choi-Kyu Park

“…To address this, we developed a multi-step analytical framework to differentiate CPEs from cytotoxicity using a Vero cell-adapted ASFV strain. …”
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Synthesis, Radiolabeling, and Biological Evaluation of 68Ga-Mucin1 and Its Folate Hybrid Peptide Conjugates for the Diagnosis of Ovarian Cancer by Samiah Alhabardi, Hesham Radwan, Basim Alotaibi, Yousif Almalki, Ehab Elzayat, Zakia Shinwari, Subhani M. Okarvi, Ibrahim Aljammaz

“…Because of our interest in developing new hybrid peptide radioconjugates with suitable biochemical properties for multiple-receptors targeting properties that are overexpressed on many human cancers especially ovarian cancer, we have synthesized 68Ga-NODAGA-MUC1 and 68Ga-NODAGA-MUC1-FA hybrid peptide conjugates using a straightforward and one-step simple reaction. …”
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Clinical trial budgeting approaches in Switzerland—a meta-research study by Alexandra Griessbach, Malena Chiaborelli, Klaus Ehrlich, Regina Grossmann, María De Medina Redondo, Aurélie Fayet, Reinhard Maier, Sven Trelle, Angèle Gayet-Ageron, Alessandro Ceschi, Benjamin Speich, Matthias Briel, MAking Randomized Trials Affordable (MARTA) Group

“…The publicly available Belgian KCE tool was developed with user feedback and provided a detailed list of cost items, some cost ranges, and an instruction manual. …”
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Drug History and SLE Laboratory Findings Among Iraqi Patients: A Hospital‐Based Study by Hashim Talib Hashim, Ahmed Dheyaa Al‐Obaidi, Mustafa Najah Al‐Obaidi, Hossam Tharwat Ali, Idris Sula, Hozifa Alfaki, Abdelrahim Elamin, Alaa Hamza Hermis, Assalah Othman, Ahmed Qasim Mohammed Alhatemi

“…Due to the lack of data from developing countries, our study aims to provide comprehensive insights into the drug history and SLE laboratory findings among Iraqi patients. …”
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Prognostic risk modeling of endometrial cancer using programmed cell death-related genes: a comprehensive machine learning approach by Tianshu Chen, Yuhan Yang, Zhizhong Huang, Feng Pan, Zhendi Xiao, Kunxue Gong, Wenguang Huang, Liu Xu, Xueqin Liu, Caiyun Fang

“…Abstract Background Endometrial cancer represents a significant health challenge, with rising incidence and complex prognostic challenges. This study aimed to develop a robust predictive model integrating programmed cell death-related genes and advanced machine learning techniques. …”
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An ecosystem approach to the evaluation and impact analysis of heterogeneous preventive and/or early interventions projects for veterans and first responders in seven countries by S. Lukersmith, L. Salvador-Carulla, C. Woods, T. Niyonsenga, M.R. Gutierrez-Colosia, I. Mohanty, C.R. Garcia-Alonso, D. Diaz-Milanes, J.A. Salinas-Perez, R. Davey, A. Aryani

“…Background: Cumulative exposure to critical incidents and life-threatening events leads to significant risk for Veterans and First Responders (VFRs) developing mental ill health and disorders. Philanthropic organisations, Movember and Distinguished Gentleman's Ride, funded 15 organisations to conduct early intervention Projects across seven countries. …”
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An analytical approach to explore prospects and limits of nutrition-sensitive fisheries governance under climate change by Abigail Bennett, Julia G Mason, Willow Battista, Christopher M Free, Jessica A Gephart, Kristin M Kleisner, Emma D Rice, Kelly F Robinson, John Virdin

“…This methodological approach represents a step toward operationalizing calls to manage fisheries as part of national food and nutrient supplies, in light of climate change risks.…”
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Towards representation learning of radar altimeter waveforms for sea ice surface classification by L. Happ, L. Happ, S. Patil, S. Hendricks, R. Fellegara, L. Kaleschke, A. Gerndt, A. Gerndt

“…A further and less mature step is classifying different sea ice types in addition to the ice/ocean discrimination. …”
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A self-healing plastic ceramic electrolyte by an aprotic dynamic polymer network for lithium metal batteries by Yubin He, Chunyang Wang, Rui Zhang, Peichao Zou, Zhouyi Chen, Seong-Min Bak, Stephen E. Trask, Yonghua Du, Ruoqian Lin, Enyuan Hu, Huolin L. Xin

“…Here, taking advantage of a dynamically crosslinked aprotic polymer with non-covalent –CH3⋯CF3 bonds, we developed a plastic ceramic electrolyte (PCE) by hybridizing the polymer framework with ionically conductive ceramics. …”
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