RNAmigos2: accelerated structure-based RNA virtual screening with deep graph learning by Juan G. Carvajal-Patiño, Vincent Mallet, David Becerra, Luis Fernando Niño Vasquez, Carlos Oliver, Jérôme Waldispühl

“…Abstract RNAs are a vast reservoir of untapped drug targets. Structure-based virtual screening (VS) identifies candidate molecules by leveraging binding site information, traditionally using molecular docking simulations. …”
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Causal signals between codon bias, mRNA structure, and the efficiency of translation and elongation by Cristina Pop, Silvi Rouskin, Nicholas T Ingolia, Lu Han, Eric M Phizicky, Jonathan S Weissman, Daphne Koller

“…We also show a correlation between efficiency and RNA structure calculated both computationally and from recent structure probing data, as well as the Kozak initiation motif, which may comprise a mechanism to regulate initiation.…”
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A study of Electronic Structure in W–Cu Alloys by using RFA and FE models by Fareed M. Mohammed, Shalash A. Mohammed, Abdul Qader A. Hussein, Sameh H. Saleh

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Viral escape-inspired framework for structure-guided dual bait protein biosensor design. by Yee Chuen Teoh, Mohammed Sakib Noor, Sina Aghakhani, Jack Girton, Guiping Hu, Ratul Chowdhury

“…CTRL-V successfully identifies ~70% (five out of seven) single point mutations (371F, 373P, 440K, 445H, 456L) in the latest circulating KP.2 variant and offers detailed structural insights to the escape mechanism. While other data-driven viral escape variant predictor tools have shown promise in predicting potential future viral variants, they require massive amounts of data to bypass the need for physics of explicit biochemical interactions. …”
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Human Height’s Development in Midwestern Spain, 1856-2000: Health, Nutrition, and Economic Structure by Antonio M. Linares-Luján, Francisco M. Parejo-Moruno

“…Data show important anthropometric growth in men recruited between 1856 and 2000 because of three major advances: the epidemiological transition, the nutritional transition, and structural change. …”
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The Influence of Cash Turnover, Accounts Receivable Turnover, Capital Structure, and Profit Growth on Profitability by Azizah Nasya Ziyadatul, Dewi Siska, Rokhman Nur

“…In this empirical study of manufacturing businesses in the consumer products industrial sector listed on the IDX in 2019–2023, the impact of cash turnover, receivables turnover, capital structure, and profit growth on profitability is the main goal. …”
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Financial Risk and Capital Structure: Does it Contribute to Increasing the Company Value of Islamic Banking? by Satrio Fajar Putra, Ulfi Kartika Oktaviana

“…This study aimed to determine the effect of financial risk and capital structure on the company value of Islamic commercial banks in 2016-2020. …”
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Understanding Newton's Third Law: A Study of Prospective Physics Teachers' Knowledge Structure by Wulan Anna Pertiwi, Revnika Faizah, Astrini Dewi Kusumawati, Nadiyah Nadiyah, Agus Setyo Budi, Luh Sukariasih

“…In contrast, the qualitative data source comes from students' reasons for choosing answers, which are used to see the characteristics of knowledge structures. …”
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SPECIFIC VELOCITY STRUCTURE OF THE UPPER MANTLE IN THE TRANSBAIKALIA SEGMENT OF THE MONGOLIA-OKHOTSK OROGENIC BELT by V. M. Soloviev, V. V. Chechelnitsky, A. S. Salnikov, V. S. Seleznev, A. V. Liseikin, N. A. Galyova

“…The seismic data was used to contour an area with high velocity values in the mantle in the central part of the Mongolia-Okhotsk orogenic belt and the neighboring fold structures of Transbaikalia. …”
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Relationship between serum Cystatin C and cardiac structure and function in peritoneal dialysis patients by LI Feng, AI Quan-ling, SHENGMei-xiao

“…Objective To evaluate the relationship between serum Cystatin C(Cys-C) and the structure and function of the heart in peritoneal dialysis(PD) patients.Methods Forty-four patients subject to PD treatment for 3 months or more were included from March 2012 to February 2013 in Department of Nephrology,Jiangsu Provincial Hospital of TCM in the end stage of chronic kidney disease and in a stable condition.According to serum Cys-C levels,44 patients were divided into two groups:high Cys-C group(Cys-C>7.0 mg/L) and low Cys-C group(Cys-C≤7.0 mg/L).The clinical data(total Ccr,total Kt/V,serum creatinine,hemoglobin,serum albumin,total cholesterol,and triglycerides) were collected,serum Cys-C level was determined by latex-enhanced immunoturbidimetry,and left atrial diameter,left ventricular end-diastolic diameter,left ventricular end-systolic diameter,left ventricular posterior wall thickness,interventricular septal thickness,stroke volume and ejection fractions were measured by color Doppler ultrasound.The differences in the clinical data and the indexes of the heart between two groups were observed,and the relationship between Cys-C and clinical data or the indexes of the heart was analyzed.Results There was no significant difference in LAD,LVDd,LVDs and SV between two groups(P>0.05).LVPWT,IVST and LVMI were higher in high Cys-C group,but LVEF was higher in low Cys-C group(P<0.05),prompting high Cys-C patients had elevated left ventricular hypertrophy and decreased heart function.Pearson correlation analysis revealed that serum Cys-C levels were positively correlated with LVMI,and negatively with LVEF.Serum Cys-C levels were positively correlated with serum creatinine and dialysis age,but negatively with total Ccr.Conclusions The increase of Cys-C in PD patients can result in left ventricular systolic dysfunction and make left ventricular hypertrophy and ventricular remodeling.We can predict cardiovascular complications by assessing cardiac function and structural changes in PD patients.…”
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Physics-informed deep learning quantifies propagated uncertainty in seismic structure and hypocenter determination by Ryoichiro Agata, Kazuya Shiraishi, Gou Fujie

“…Here, we address this issue by employing a physics-informed deep learning (PIDL) approach that quantifies uncertainty in two-dimensional seismic velocity structure modeling and its propagation to hypocenter determination by introducing neural network ensembles trained on active seismic survey data, earthquake observation data, and the physical equation of wavefront movement. …”
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Phytoplankton of the middle Caspian Sea: analysis of changes in the structure of the community over the past decades by S. V. Vostokov, L. A. Pautova, I. V. Saling, A. S. Vostokova, Dz. A. Ustarbekova, E. N. Lobachev, B. Abtahi, M. G. Shojaei

“…Analysis  of  changes  in  quantitative  and  structural  indicators  of phytoplankton in the western and central part of the middle Caspian Sea over the past decades, including according to remote sensing data.Material  and  Methods.  …”
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A Study of Reduction of Time-to-CED in GPS CNAV Message Structure With Reduced CED by Byunghyun Choi, Donguk Kim

“…From this perspective, several methods have been proposed for fast positioning and the Galileo system has adopted reduced clock and ephemeris data (CED) in the I/NAV navigation message. This approach shortens the time required to read navigation data, thereby reducing the Time-to-First-Fix (TTFF). …”
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A Multi-Scale Unsupervised Feature Extraction Network with Structured Layer-Wise Decomposition by Yusuf Şevki Günaydın, Baha Şen

“…This decomposition enhances the information richness of input data while preserving its structural integrity, making it especially beneficial for grayscale or low-resolution images. …”
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Development of Soft Tactile Sensor for Prostatic Palpation Diagnosis: Sensor Structure Design and Analysis by Zhongwei Jiang, Seiji Chonan, Yoshikatu Tanahashi, Takuji Kato, Mami Tanaka

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An investigation of organizational structure in selected hospitals of Tehran and its relationship with hospital performance indicators by B nejati zarnaqi, H Mohammad Ebrahimi, O khalilifar, S Shahraki

“…Materials and methods: This cross-sectional, descriptive–analytical study was conducted in 14 public hospitals in the city of Tehran. The organizational structure questionnaire (after confirmation of its validity and reliability) was used for data collection. …”
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Disruptive innovation disclosure practices: Do board characteristics, ownership structure, and investor matter? by Indrian Supheni, Suyanto Suyanto, Tiyas Puji Utami

“…Research aims: This study aims to analyze the effect of board characteristics, ownership structures, and investors on disruptive innovation disclosure in the annual reports of companies in Indonesia. …”
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Monetary policy, debt maturity structure and corporate investment efficiency: Evidence from China. by Liping Zheng, Guangzhen Liu, Ziwei Liang, Chengyi Liu

“…This paper examines the impact of monetary policy on corporate investment efficiency from the perspective of debt maturity structure by selecting data on Chinese non-financial listed firms and Chinese macroeconomic data from 2007-2022. …”
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Endodontic retreatment in the appealability structure of the compulsory medical insurance on the example of the state dental practice by E. V. Ivanova, E. G. Sabantseva, E. V. Petushkova

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Validation of Genderism and Transphobia Scale Indonesian Version: Short Version, Factor Structure, and Reliability by Gabrielle Sinata Sin, Lina Natalya, Isabel Chua Jia Jun, Ide Bagus Siaputra

“…Study II evaluated the internal structure of the GTS-SV using the same analytical methods. …”
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