A Metallurgically Informed Multiscale Integrated Computational Framework for Metal Forming Processes by Vasilis Loukadakis, Spyros Papaefthymiou

“…<b><b>:</b></b> Predicting the mechanical response of industrial alloys is crucial for optimizing manufacturing processes and improving material performance. …”
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Absence of Bacteria on Coronary Angioplasty Balloons from Unselected Patients: Results with Use of a High Sensitivity Polymerase Chain Reaction Assay. by Gorm Mørk Hansen, Martin Nilsson, Claus Henrik Nielsen, Palle Holmstrup, Steffen Helqvist, Tim Tolker-Nielsen, Michael Givskov, Peter Riis Hansen

“…Therefore, the aim of this study was to assess if bacterial DNA from primarily oral bacteria could be detected on coronary angioplasty balloons by use of an optimized sampling process combined with an internally validated sensitive polymerase chain reaction (PCR) assay. …”
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Physicochemical Properties and Molecular Insights of Favipiravir and Roflumilast Solid Dispersions for COVID-19 Treatment by Abdul Rauf, Saad Salman

“…<b>Background/Objectives:</b> Fixed-dose combinations (FDCs) offer significant advantages for patients and healthcare systems by improving adherence and reducing pill burden. …”
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Experimental Evaluation of Hydraulic Jump Characteristics in Gradually Expanding Sloping Channel by S. K. Gupta, V. K. Dwivedi

“…Understanding hydraulic jumps in gradually expanding sloping channels is crucial for designing eco-friendly water management systems that minimize environmental impacts. This study seeks to investigate how the expansion ratio and channel slope together influence the characteristics of hydraulic jumps. …”
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Individual Differences in Subjective Image Quality Assessment: A Bayesian Mixed-Effects Modeling Approach by Simon Hviid Del Pin, Seyed Ali Amirshahi

“…By embracing individual differences as valuable information, we can improve user experience, develop personalized content delivery systems, optimize compression techniques, and create more accurate predictive models for image quality. …”
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CD4+ cells mitochondrial membrane potential in mild and moderate asthma by Elena V. Kondratyeva, Tatyana I. Vitkina

“…The assessment of the redistribution of MMP levels of CD4+ cells provides an opportunity for the early detection of energy metabolism disorders in BA, which will allow optimizing the prevention of pathology progression. …”
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Real time broadcast scheduling in TSCH for smart healthcare using cuckoo search algorithm by L. Pavithra, D. Rekha

“…To this end, the proposed method employs Genetic Algorithm (GA), Immune Genetic Algorithm (IGA), and Cuckoo Search Algorithm (CSA) to optimize TSCH scheduling. Unlike GA and IGA, CSA emphasizes intelligent exploration of the search space by leveraging Lévy flights and adaptive strategies, which helps it exploit known information more effectively. …”
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Noninvasive Glucose Measurements in Tissue Simulating Phantoms Using a Solid-State Near-Infrared Sensor by Ariel B. Kauffman, Ruben Shakya, Shuai Yu, Mark A. Arnold

“…Results for the laser prototype data included a standard error of cross validation (SECV) of 7.82 mg/dL for an optimized PLS model with 10 factors over a spectral range of 1401–2238 nm. …”
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Driven early detection of chronic kidney cancer disease based on machine learning technique. by Wafa Almukadi, Sayed Abdel-Khalek, Adel A Bahaddad, Ahmed Mohammed Alghamdi

“…This study presents the Kidney Cancer Detection and Classification employing a Snake Optimizer with Deep Learning on Pathological Images (KCDC-SODLPI) technique. …”
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High-performance slow-curing polyurea compositions by S. V. Romanov, O. A. Botvinova, E. A. Timakov, D. A. Rashchupkina, Yu. T. Panov

“…For this reason, mathematical modeling was used to optimize experimental design. The curing time of the composition was measured under conditions simulated to be close to actual. …”
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Mapping the coupling between tract reachability and cortical geometry of the human brain by Deying Li, Andrew Zalesky, Yufan Wang, Haiyan Wang, Liang Ma, Luqi Cheng, Tobias Banaschewski, Gareth J. Barker, Arun L. W. Bokde, Rüdiger Brühl, Sylvane Desrivières, Herta Flor, Hugh Garavan, Penny Gowland, Antoine Grigis, Andreas Heinz, Hervé Lemaître, Jean-Luc Martinot, Marie-Laure Paillère Martinot, Eric Artiges, Frauke Nees, Dimitri Papadopoulos Orfanos, Luise Poustka, Michael N. Smolka, Nilakshi Vaidya, Henrik Walter, Robert Whelan, Gunter Schumann, Tianye Jia, Congying Chu, Lingzhong Fan, IMAGEN Consortium

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Age-tailored artificial skin model for cosmetic film development by Marta Gonçalves, Sofia Brito, Chaeyeon Song, Youngkyu Han, Bum-Ho Bin, Byung Mook Weon

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Electrochemical and structural properties of binder-free iron-based bifunctional catalyst for aqueous Zinc-Oxygen batteries by Jorge González-Morales, Mario Aparicio, Nataly Carolina Rosero-Navarro, Franco M. Zanotto, Alejandro A. Franco, Jadra Mosa

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Thermal analysis of ternary hybrid nanofluid flow in convergent/divergent channel using Box-Behnken design of response surface methodology by Ibrahim Mahariq, C.M. Mohana, B. Rushi Kumar, Kezzar Mohamed, Mohamed Rafik SARI, Hamiden Abd El-Wahed Khalifa, Sunitha Nagarathnam

“…Convergent/divergent channels represent a critical advancement in thermal management systems, offering enhanced heat transfer capabilities through geometrically optimized flow paths. …”
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On the Horizon: A Global Multidisciplinary Perspective on Delivering Emerging Therapies for Patients with BCG-Naïve High-Risk NMIBC by Bernadett E. Szabados, Félix Guerrero-Ramos, Enrique Grande, Petros Grivas, Viktor Grünwald, Marta Carpintero Miguel, Syed A. Hussain, Girish S. Kulkarni, Ana Lisa Wilson, Neal D. Shore, Srikala S. Sridhar, Mary Hoyt, Samantha Strumeier, Jennifer Sutton, Julia Brinkmann, Rosemary E. Teresi, Tilman Todenhöfer

“…We also highlight the crucial importance of effective communication across teams, increases in resourcing, and education for healthcare professionals, patients, and caregivers to enable eligible patients with high-risk NMIBC to benefit optimally from the introduction of these potential new treatment options.  …”
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The AFFIRM Framework for gender-affirming care: qualitative findings from the Transgender and Gender Diverse Health Equity Study by Meg Quint, Schuyler Bailar, Alexis Miranda, Shalender Bhasin, Devin O’Brien-Coon, Sari L. Reisner

“…Themes about gender-affirming care coalesced into the acronym AFFIRM: (1) Affirms in individual interactions: Participants called for affirmation of TGD identity, lived expertise, and competent TGD providers and staff. (2) Flexible and accessible: Participants expressed the need for gender-affirming care to be available beyond urban population-specific clinics, in a timely fashion without long wait lists, and in a community-centered manner such as offering non-traditional times and settings. (3) Fights systemic oppression: Participants emphasized the need for providers and health systems to eliminate gatekeeping practices for gender-affirming care and create care models that resist intersecting oppressive systems such as racism and cisgenderism. (4) Interacts with community: Patients desired intentional interaction with TGD community to holistically address health and unmet gender affirmation needs. (5) Retains patients in care: Patients shared the need to collaboratively identify and problem-solve obstacles to gender-affirming care with providers and healthcare systems to optimize TGD-specific retention strategies. (6) Multidisciplinary: Patients called for interdisciplinary teams with co-located services such as primary care and mental healthcare with letter-writing for surgical care, and incorporation of peer navigators to meet the broader social, health, and well-being needs of TGD people. …”
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Emerging Trends of MXene Nanocomposites in Textile Substrates for Enhanced EMI Shielding: A Systematic Review by Nazish Saleem Abbas, Muhammad Haris Jamil, Nayab Ariff, Hamid Sharif, Peiguang Yan

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Forecasting basal area increment in forest ecosystems using deep learning: A multi-species analysis in the Himalayas by P. Casas-Gómez, J.F. Torres, J.C. Linares, A. Troncoso, F. Martínez-Álvarez

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A multi-channel spatiotemporal SegNet model for short term wind power prediction with sequence decomposition and reconstruction by Xingdou Liu, Liang Zou, Li Zhang, Jiangong Wang, Zhiyun Han, Yong Li

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Study on the Water Invasion and Its Effect on the Production from Multilayer Unconsolidated Sandstone Gas Reservoirs by Yong Hu, Xizhe Li, Weijun Shen, Changmin Guo, Chunyan Jiao, Xuan Xu, Yuze Jia

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