X-Ray Polarization Variability during a Few Hz Quasiperiodic Oscillations in Swift J1727.8-1613 Observed with IXPE by Kaito Ninoyu, Shinya Yamada, Yuusuke Uchida, Taichi Igarashi, Ryota Hayakawa, Takayoshi Kohmura

“…X-ray polarization observation in wide band provides further understanding of the geometry and magnetic field structure of the accretion flows near the black hole.…”
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Highly porous single-phase rhombohedral CrxRh2−xO3 nanofibers expediting oxygen evolution reaction by Taehui Kwon, Kyungmin Kim, Sampath Prabhakaran, Subin Choi, Jiwon Kim, Yeji Yim, Jihyun Park, Hoi Ri Moon, Myung Hwa Kim, Do Hwan Kim, Youngmi Lee

“…Single-phase CrxRh2−xO3 could then induce the best synergistic effect of Cr and Rh owing to the perturbation of the surface electronic structure of the electrocatalyst active site and much enlarged electroactive surface area. …”
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Predicting Performance of Hall Effect Ion Source Using Machine Learning by Jaehong Park, Guentae Doh, Dongho Lee, Youngho Kim, Changmin Shin, Su‐Jin Shin, Young‐Chul Ghim, Sanghoo Park, Wonho Choe

“…Herein, a robust machine learning model is introduced that uses a neural network ensemble to predict the performance of Hall effect ion sources based on design parameters such as discharge channel dimensions and magnetic field structure. The neural networks are trained using 18 000 data points generated from numerical simulations with input powers ranging from sub‐kW‐ to kW‐class. …”
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Human adaptation and diversification in the Microsporum canis complex by Xin Zhou, Sarah A. Ahmed, Chao Tang, Maria Eduarda Grisolia, José Francisco Ghignatti Warth, Kristen Webster, Andrea Peano, Silke Uhrlass, Claudia Cafarchia, Marie Pierre Hayette, Rosalie Sacheli, Tadeja Matos, Yingqian Kang, G. Sybren de Hoog, Peiying Feng

“…To clarify the evolutionary relationship between the three species and explore the potential host shift process, this study used phylogenetic analysis, population structure analysis, multispecies coalescent analyses, determination of MAT idiomorph distribution, sexual crosses, and macromorphology and physicochemical features to address the above questions. …”
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Artificial intelligence for microgrids design, control, and maintenance: A comprehensive review and prospects by Mojtaba Hadi, Elhoussin Elbouchikhi, Zhibin Zhou, Abdelhakim Saim, Miadreza Shafie-khah, Pierluigi Siano, Hesam Rahbarimagham, Pau Marti Colom

“…This paper begins by exploring the fundamentals of microgrids, emphasizing their structure, components, and control aspects. After introducing essential AI techniques, it analyzes their role in various microgrid domains, such as design, control, and maintenance. (1) In the design realm, the focus is on optimal sizing. (2) In the realm of control, a hierarchical framework comprising primary, secondary, and tertiary levels is introduced. …”
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Cancer-associated VEGFR2R1032Q sustains receptor activation also by promoting ligand-independent hetero-dimerization with co-expressed wild-type VEGFR2 and translocation into lipid... by Cosetta Ravelli, Michela Corsini, Roberto Bresciani, Angela M. Rizzo, Luca Zammataro, Paola A. Corsetto, Elisabetta Grillo, Stefania Mitola

“…This was associated with reduced mobility of the receptor on the membrane, linked to its translocation into detergent-resistant membrane (DRM) domains (e.g. lipid rafts), which showed alterations in lipid compositions and structure. These data shed light on a novel oncogenic mechanism of activation of VEGFR2, clarifying the paradoxical loss-of-function nature of the substitution R1032Q of VEGFR2.…”
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Main factors of primary arterial hypertension development and pathogenesis in young, call-up-aged men with complicated family anamnesis by V. A. Lusov, E. M. Evsikov, Yu. M. Mashukova, T. V. Kotov, N. O. Kugaenko, N. E. Ivakhnenko, T. B. Salova

“…Hemodynamics was assessed by blood pressure (BP) office measurement and ambulatory monitoring, together with B-mode echocardiography data. Renal and renourinal structure and function was assessed by static and dynamic scintigraphy, renal ultrasound, renal radiography, excretory urography, color Doppler angiography of renal arteries, measurement of microalbuminuria in morning urine and glomerular filtration rate by endogenous creatinine. …”
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Identification of novel ABCB4 variants and genotype-phenotype correlation in progressive familial intrahepatic cholestasis type 3 by Senyan Wang, Qi Liu, Xiaoyan Sun, Wenjuan Wei, Leilei Ding, Xiaofang Zhao

“…The study included statistical analysis of clinical information, genetic analysis, multi-species sequence alignment, protein structure modeling, and pathogenicity assessment. Machine learning techniques were applied to identify genotype-phenotype relationships. …”
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Microbial micronutrient sharing, gut redox balance and keystone taxa as a basis for a new perspective to solutions targeting health from the gut by Robert E. Steinert, Ateequr Rehman, Mehdi Sadaghian Sadabad, Alessio Milanese, Jonas Wittwer-Schegg, Jeremy P. Burton, Anneleen Spooren

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Curlometer and gradient techniques: past and future applications by M. W. Dunlop, M. W. Dunlop, H.-S. Fu, C. Shen, X. Tan, X.-C. Dong, Y.-Y. Yang, P. Robert, C. P. Escoubet

“…Nevertheless, the techniques can be reliable in many magnetospheric regions where time stationarity is largely applicable, or when properties of the morphology can be assumed (for example, the expected orientation of underlying large-scale structure). Many magnetospheric regions have been investigated directly (illustrated here by the magnetopause, ring current and field-aligned currents at high and low altitudes), and options for variable numbers of spacecraft have been considered. …”
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Association between tongue position and Dentofacial skeletal patterns: a simplified approach to tongue position assessment by Jun Sun, Rugan Su, Yu Guo, He Li, Zhuojun Xu, Yuxin Zhang, Hongwan Na, Yanning Ma, Song Li

“…Abstract Background Tongue position plays a vital role in craniofacial development, influencing skeletal structure and dental alignment. This study aims to assess tongue position and investigate its relationship with various dentofacial skeletal patterns using a novel cephalometric analysis method. …”
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Study on the role of tissue-specific and non-specific autoantibodies, matrix metalloproteinase-3 and neuron-specific enolase enzymes in the exacerbation of autoimmune thyroiditis by R. R. Rahimova, A. M. Efendiyev, I. J. Shahverdiyeva, G. S. Dashdamirova, S. R. Guliyeva, U. H. Azizova

“…Elevated titers of anti-DNA autoantibodies may indicate an aggravation of the autoimmune process due to cellular structure damage, resulting in gland dysfunction. The findings also suggest that metalloproteinase-3, a marker predicting thyroid tissue damage, may negatively impact the immune response induction, ultimately affecting the activity of neuron-specific enolase. …”
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Creating and sustainable development of specialized centers as a way to improve quality of medical care by V. I. Guzeva, O. V. Guzeva, V. V. Guzeva, D. O. Dukhanina, V. R. Kasumov

“…The accumulated experience in the Center confirms the relevance of the creation of the structure of scientific and educational institutions specialized centers in which patients will be given to high-quality medical care.…”
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Recyclable nano-CuI immobilized on UiO-66-NH2 coated with porous sodium alginate-polysulfonamide for synthesis of phenols by Samaneh Koosha, Ramin Ghorbani-Vaghei, Sedigheh Alavinia

“…FESEM images revealed spherical sodium alginate particles and TEM analysis indicated a core-shell structure. ICP data confirmed the anchoring of 0.67 mol% of copper iodide. …”
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Validation of the World Health Organization’s Disability Assessment Schedule 2.0 for children with mental disorders in specialized health-care services by Lina Díaz-Castro, Miriam Arroyo-Belmonte, Paloma Suárez-Brito, María Elena Márquez-Caraveo, Consuelo Garcia-Andrade

“…Exploratory factor analysis revealed a six-dimensional structure, with gender-specific differences identified in functional impairment patterns.DiscussionThe study provides robust evidence supporting the utility and psychometric properties of the WHODAS 2.0 for assessing functional impairment in children and adolescents with mental disorders in Mexican psychiatric hospitals. …”
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Exploring the health‐related decision‐making experiences of people with chronic kidney disease and their caregivers: A qualitative study by Shena Gazaway, Orlando Gutierrez, Rachel Wells, Tamara Nix‐Parker, Claretha Lyas, Shawona Daniel, Katina Lang‐Lindsey, Tara Bryant, Richard Knight, James N. Odom

“…Decision‐making was made difficult due to lack of information, complex co‐morbidities, and poor resource utilization. However, the structure and nature of the medical appointment, supportive caregivers, and resources served to remove challenges. …”
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Integrating species functional and architectural traits for improving crown width prediction in subtropical multispecies forests using nonlinear hierarchical models by Canming He, Xianglin Tian, Hongxiang Wang

“…Effective CW models are well established for plantations and structurally simpler forests, yet their applicability to diverse, species-rich natural forests remains inadequate. …”
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Cyclic Fatigue Comparison of TruNatomy, Twisted File, and ProTaper Next Rotary Systems by Abdullah Mahmoud Riyahi, Amr Bashiri, Khalid Alshahrani, Saad Alshahrani, Hadi M. Alamri, Dina Al-Sudani

“…With its potential to preserve tooth structure, this file offers a good cyclic fatigue advantage. …”
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Coupling ocean currents and waves for seamless cross-scale modeling during Medicane Ianos by S. Causio, S. Shirinov, S. Shirinov, I. Federico, G. De Cillis, E. Clementi, L. Mentaschi, G. Coppini

“…The model is calibrated, and the ocean variables are rigorously validated against in situ and Earth observation (EO) data, including satellite-based measurements. The study found that wave-induced surge components contribute from 10 % to 30 % of the total water level during the storm and that sea-state-dependent momentum flux during a medicane can influence the vertical structure of the ocean up to 100 <span class="inline-formula">m</span>. …”
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Retentive neural quantum states: efficient ansätze for ab initio quantum chemistry by Oliver Knitter, Dan Zhao, James Stokes, Martin Ganahl, Stefan Leichenauer, Shravan Veerapaneni

“…Though this efficiency comes at the expense of decreased expressiveness relative to the transformer, we overcome this gap through training strategies that leverage the autoregressive structure of the model—namely, variational neural annealing. …”
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