Sweroside: unveiling broad therapeutic potential—from mechanistic insights to clinical potential by Liu Peng, Man Zuo, Tian Qiu, Wenying Lan, Yue Wen, Xiao-Qin Ye

“…To realize its clinical potential, future research should prioritize optimizing its pharmacokinetics, including enhancing bioavailability and developing advanced drug delivery systems. …”
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Different forms of nitrogen uptake in tobacco promoted by the arbuscular mycorrhizal fungi by Yanlan Xie, Xiaohui Song, Yingang Lu, Xianfeng Hu, Shouhui Pan, Wei Xu, Yuan Xue

“…This study establishes a theoretical foundation for optimizing nitrogen utilization efficiency and enhancing agronomic productivity in tobacco cultivation systems.…”
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Removal of amoxicillin, phenol, and diethyl phthalate using activated carbon from murici seeds (Byrsonima crassifolia L. Kunth) by Taynara Alvares Martins, Beatriz Carolina Alvez Tovar, Julião Pereira, Fernando Pereira de Sá, Tatianne Ferreira de Oliveira

“…Future research should explore adsorbent regeneration, reuse, and application in real-world wastewater systems to optimize performance and environmental benefits.…”
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Severe COVID-19 in Third Trimester Pregnancy: Multidisciplinary Approach by Jerald Pelayo, Gabriella Pugliese, Grace Salacup, Eduardo Quintero, Adeeb Khalifeh, David Jaspan, Bhavna Sharma

“…This report highlights the disease progression of COVID-19 in a pregnant woman, the clinical challenges in the critical care aspect of patient management, and the proposed multidisciplinary strategies utilizing an algorithmic approach to optimize maternal and neonatal outcomes.…”
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The Development of a Kinetic Model for Biochar Gasification with CO₂: Comparison Between a Thermogravimetric Analyzer and a Fluidized Bed Reactor by Luis Reyes, Michael Jabbour, Lokmane Abdelouahed, Bechara Taouk

“…These findings provide critical insights for optimizing biochar gasification across diverse reactor configurations.…”
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Triboelectric Nanogenerator-Embedded Intelligent Self-Aligning Roller Bearing with the Capability of Self-Sensing, Monitoring, and Fault Diagnosis by Hao Shen, Yufan Lv, Yun Kong, Qinkai Han, Ke Chen, Zhibo Geng, Mingming Dong, Fulei Chu

“…Experiments are subsequently conducted to optimize the output performance and sensing sensitivity of the proposed I-SAB. …”
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Young People’s Experiences Using a Digital Mental Health Tool to Support Their Care in a Real-World Service: Lived Experience–Led Qualitative Study by Carla Gorban, Min K Chong, Adam Poulsen, Ashlee Turner, Haley M LaMonica, Sarah McKenna, Elizabeth M Scott, Ian B Hickie, Frank Iorfino

“…Future research should examine how to address these contextual barriers and optimize DN support for implementation and sustained engagement of DMHTs.…”
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Anxiety and depression in healthcare workers 2 years after COVID-19 infection and scale validation by Lin Zhang, Jingli Wen, Ling Yuan, Youde Yan, Zhenjiang Zhang, Kai Li, Zuoling Tang

“…For healthcare workers, particularly those with long COVID and student groups, policymakers and healthcare administrators should consider optimizing mental health support systems. This includes implementing regular mental health screenings, providing personalized psychological interventions, offering counseling services, reducing work-related stress, and promoting the use of mental health assessment tools to improve the psychological well-being of this population.…”
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The relationship between body mass index and pathological complete response in Brazilian breast cancer patients by Fernanda Grace Bauk Richter, André Mattar, Marcelo Antonini, Marina Diógenes Teixeira, Andressa Gonçalves Amorim, Eduardo Camargo Millen, Fabricio Palermo Brenelli, Francisco Pimentel Cavalcante, Felipe Zerwes, Antonio Luiz Frasson, Reginaldo Guedes Coelho Lopes, Luiz Henrique Gebrim, Juliana Monte Real

“…Future investigations in diverse healthcare settings may provide additional insights into optimizing breast cancer management across BMI strata.…”
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Design and evaluation of a novel direct hemagglutination test based on a recombinant protein for diagnosis of cystic echinococcosis by Abolfazl Masoumi Koushk Mehdi, Hossein Motedayyen, Majid Fasihi Harandi, Hossein Akbari, Amin Moradi Hasan-Abad, Mohsen Arbabi

“…The fragment was cloned for expression in Escherichia coli BL21 (DE3) using the vector pET-28a. It was optimized through isopropyl β-d-thiogalactopyranoside (IPTG) induction. …”
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Constrained gravity inversion unravels the Moho depth and tectonic patterns in China and its adjacent areas by ZhiXin Xue, DongMei Guo, Jian Fang, RongHua Cui

“…Leveraging the Moho depth model of China and its adjacent areas, we discuss orogenic belts, sedimentary basins, fault systems, plate boundaries, and land−sea coupled tectonic patterns. …”
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Reaching machine learning leverage to advance performance of electrocatalytic CO2 conversion in non-aqueous deep eutectic electrolytes by Ahmed Halilu, Mohamed Kamel Hadj-Kali, Hanee Farzana Hizaddin, Mohd Ali Hashim, Emad M. Ali, Suresh Bhargava

“…Abstract Deep eutectic electrolytes (DEEs) show promise for future electrochemical systems due to their adjustable buffer capacities. …”
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Investigating the Thermal Runaway Characteristics of the Prismatic Lithium Iron Phosphate Battery Under a Coupled Charge Rate and Ambient Temperature by Jikai Tian, Zhenxiong Wang, Lingrui Kong, Fengyang Xu, Xin Dong, Jun Shen

“…Optimizing the charging rate is crucial for enhancing lithium iron phosphate (LFP) battery performance. …”
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Artificial Intelligence-Based Prediction of Bloodstream Infections Using Standard Hematological and Biochemical Markers by Ferhat DEMİRCİ, Murat AKŞİT, Aylin DEMİRCİ

“…The model’s strong performance and interpretability suggest its potential application in clinical decision support systems to improve diagnostic stewardship, reduce unnecessary cultures, and optimize resource use in suspected BSI cases.…”
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Preparation and characterization of immobilized indole−3−butyric acid on silver−cerium oxide nanoparticles for improving its stability and utilization in the study of plant root fo... by Masoumeh Ghorbani, Danial Kahrizi, Elham Arkan, Zhennan Yu

“…Owing to their remarkable potential to enhance bioavailability and optimize crop productivity, these nanotechnological systems have garnered considerable scientific interest. …”
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Biomaterial-Assisted Self-Healing for Crack Reduction in High-Performance Centrifugal Concrete Piles by Arian Adibinia, Hesam Dehghan Khalili, Mohammad Mehdi Mohebbi, Mohammad Momeni, Pezhman Moradi, Soleiman Ghouhestani, Ali Poorkarimi

“…Results demonstrated that bacterial activation upon cracking led to calcium carbonate precipitation, effectively sealing cracks, reducing permeability, and enhancing compressive strength. Optimizing bacterial and fiber content further influenced water absorption and mechanical properties in both cubic and centrifugally cast specimens. …”
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Facile Synthesis and Characterization of Novel Analcime/Sodium Magnesium Aluminum Silicon Silicate Nanocomposite for Efficient Removal of Methylene Blue Dye from Aqueous Media by Ehab A. Abdelrahman, Zahrah Alqahtani, Mortaga M. Abou-Krisha, Fawaz A. Saad, Reem K. Shah

“…Energy-dispersive X-ray spectroscopy (EDX) confirmed the elemental composition, showing higher sodium content and optimized incorporation of aluminum and silicon in Z2. …”
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Machine learning−derived multivariable predictors of postcardiotomy cardiogenic shock in high-risk cardiac surgery patientsCentral MessagePerspective by Edward G. Soltesz, MD, MPH, Randi J. Parks, PhD, Elise M. Jortberg, MS, Eugene H. Blackstone, MD

“…In total, 68 preoperative clinical variables were considered in machine-learning algorithms trained and optimized using scikit-learn software. Results: Compared with patients with ideal recovery, those that did were younger (65 vs 67 years), more likely female, Black, with low LV ejection fraction (26.5 vs 28.9%), previous myocardial infarction, chronic lung disease, diabetes, reoperation, or advanced heart failure. …”
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Open-Set Recognition of Environmental Sound Based on KDE-GAN and Attractor–Reciprocal Point Learning by Jiakuan Wu, Nan Wang, Huajie Hong, Wei Wang, Kunsheng Xing, Yujie Jiang

“…The findings demonstrate the potential of this framework to enhance environmental sound monitoring systems, particularly in applications requiring adaptability to unseen acoustic events (e.g., urban noise surveillance or wildlife monitoring).…”
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Activation energy and Coriolis force impact on three-dimensional dusty nanofluid flow containing gyrotactic microorganisms: Machine learning and numerical approach by Jakeer Shaik, Reddy Seethi Reddy Reddisekhar, Thameem Basha Hayath, Cho Jaehyuk, Sathishkumar Veerappampalayam Easwaramoorthy

“…In recent times, machine learning methods have become powerful tools for solving complex problems, optimizing processes, and extracting insights from large datasets, especially in fluid dynamics. …”
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