Central Bank tools for affecting the dynamics of mortgage lending in the conditions of a currency board and inflation environment by Stavrova Elena

“…To study the development of these important macroeconomic variables, the methods of econometric analysis based on time series were used for the dynamics of inflation expectations of citizens, inflation, the instruments used by the central bank for influence and the dynamics of mortgage loans granted to citizens.…”
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Effects of Strength Training Assessed by Anthropometry and Muscle Ultrasound by Juan Carlos Giraldo García, Gloria María Ruiz Rengifo, Donaldo Cardona Nieto, Julián Echeverri Chica, Juan Cancio Arcila Arango, German Campuzano Zuluaga, Oliver Ramos-Álvarez

“…Protocol: Pre- and post-intervention ultrasound and anthropometric evaluations of a strength training programme with a predominance of the eccentric component were performed three times a week for 4 weeks. For the pre- and post-intervention relationship of the quantitative anthropometric and ultrasound variables, the Wilcoxon signed-rank test was used; the effect size of a Wilcoxon test was also calculated using the rank correlation, and the correlation of the anthropometric and ultrasound variables was determined using Spearman’s correlation coefficient, with a <i>p</i>-value < 0.05 considered statistically significant. (3) Results: There were no statistically significant differences in the anthropometric variables assessed, but there were significant differences in measures of quadricep muscle size and in the control parameter echo-intensity (EI) of subcutaneous fat in the variables. (4) Conclusions: The US of the quadriceps can measure changes in muscle thickness even without changes in muscle mass assessed by anthropometry, making it an excellent tool for the evaluation and monitoring of strength training.…”
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A Deep Learning-Based Echo Extrapolation Method by Fusing Radar Mosaic and RMAPS-NOW Data by Shanhao Wang, Zhiqun Hu, Fuzeng Wang, Ruiting Liu, Lirong Wang, Jiexin Chen

“…Compared to the baseline ConvLSTM-based extrapolation model without physical variables, the models trained with the MR-DCGAN architecture achieved, on average, 18.59%, 8.76%, and 11.28% higher CSI values, 19.46%, 19.21%, and 19.18% higher POD values, and 19.85%, 11.48%, and 9.88% lower FAR values under the 20 dBZ, 30 dBZ, and 35 dBZ reflectivity thresholds, respectively. …”
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Transport starter data kit: Historical passenger and freight transport data for selected countries in Africa, Asia, and South AmericaZenodo by Naomi Tan, Robert Ambunda, Nikola Medimorec, Angel Cortez, Agustina Krapp, Erin Maxwell, John Harrison, Mark Howells

“…Additionally, population and GDP data, which influence transport activity, are included. The value of the dataset lies not only in the range of variables it offers but also in the compilation from multiple authoritative sources, providing researchers, consultants, and policymakers interested in data-based transport modelling with a foundational base for their model development. …”
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Short-term and long-term oncological outcomes of chemoradiotherapy for rectal cancer patients with or without oxaliplatin: a propensity score-matched retrospective analysis by Amirali Azimi, Fatemeh Sadat Tabatabaei, Kasra Kolahdouzan, Hamideh Rashidian, Forouzan Nourbakhsh, Maryam Abedini Parizi, Nima Mousavi Darzikolaee, Reyhaneh Bayani, Samaneh Salarvand, Azadeh Sharifian, Farzaneh Bagheri, Saeed Rezaei, Naeim Nabian, Reza Nazari, Negin Mohammadi, Mohammad Babaei, Marzieh Lashkari, Farshid Farhan, Mahdi Aghili, Felipe Couñago, Maria Antonietta Gambacorta, Reza Ghalehtaki

“…After propensity score matching, in the multivariate analysis, CAPEOX significantly increased the likelihood of achieving a pathologic complete response (pCR) by 4.38 times (CI: 1.90–10.08, p value < 0.001). However, CAPEOX did not demonstrate any statistically significant predictive value for DFS (P = 0.500) or OS (P = 0.449). …”
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Estimation of the compressive strength of ultrahigh performance concrete using machine learning models by Rakesh Kumar, Divesh Ranjan Kumar, Warit Wipulanusat, Chanachai Thongchom, Pijush Samui, Baboo Rai

“…During testing, the Bi-LSTM model outperformed the other models, with an RMSE of 0.0482 and an R² value of 0.9464. These results maximize component selection by showing how effectively the Bi-LSTM model might reduce UHPC formulation development and lower the cost and testing time span.…”
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Estimating the incidence of symptomatic rotavirus infections: a systematic review and meta-analysis. by Joke Bilcke, Pierre Van Damme, Marc Van Ranst, Niel Hens, Marc Aerts, Philippe Beutels

“…<h4>Background</h4>We conducted for the first time a systematic review, including a meta-analysis, of the incidence of symptomatic rotavirus (RV) infections, because (1) it was shown to be an influential factor in estimating the cost-effectiveness of RV vaccination, (2) multiple community-based studies assessed it prospectively, (3) previous studies indicated, inconclusively, it might be similar around the world.…”
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Improving the Predictive Accuracy of the National Early Warning Score 2: Protocol for Algorithm Refinement by Chris Plummer, Cen Cong, Madison Milne-Ives, Lynsey Threlfall, Peta Le Roux, Edward Meinert

“…The use of NEWS2 has been shown to reduce in-hospital mortality, but it has limited accuracy in the prediction of clinically important outcomes, especially over longer time periods. ObjectiveThis project aims to improve the predictive accuracy of the NEWS2 scoring system, particularly its accuracy over more than 24 hours and its predictive value in older patients and children. …”
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Machine learning-based multiphysics model for corrosion fatigue crack propagation in aluminum alloy by Hongkun Wang, Zhenshuang Wu, Dongmei Jiang, Haitao Wang, En-Hou Han

“…The model simulated the hydrochemistry changes inside the crack in different solution environments over a certain period of time, and calculated that the crack growth rate is a function of environmental variables (pH value, sodium chloride concentration) and mechanical conditions (loading frequency, stress intensity factor range).…”
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Sinus arrhythmia effects on QT dispersion parameters in healthy individuals and coronary heart disease patients by P. Ya. Dovgalevsky, O. K. Rybak, A. N. Burlaka, L. A. Katkova, E. V. Lazareva, Ya. P. Dovgalevsky, A. V. Sorokin

“…To study sinus arrhythmia (SA) effects on quantitative parameters of time myocardial repolarization dispersion (dQTt) in healthy people and coronary heart disease (CHD) patients, as well to assess the potential of this predictor in CHD diagnostics. …”
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Predicting the perioperative transfusion risk of proximal femoral antirotation nailing (PFNA) for elderly patients with intertrochanteric fractures: a new predictive nomogram by Donglei Wei, Yage Jiang, Xingcan Long, Nanchang Huang, Jianhui Xiang, Jianwen Cheng, Jinmin Zhao

“…Random forest with least absolute shrinkage and selection operator (LASSO) regression analysis was used to select characteristic variables and construct nomograms with the screening variables. …”
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Perception of former illegal logger to agroforestry in Tetelan land of Meru Betiri National Park, Indonesia by Khusnatul Khomsah, Ihsannudin, Sukmo Pinuji, Lennny Luthfiyah

“…Then, the agroforestry system should be applied to restore the function of forests and generate economic value. The research aims to examine the perceptions of former illegal loggers and the factors that influence the application of agroforestry on “tetelan” land. …”
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Efficient discovery of large magnetic anisotropy with thermodynamically stable materials via multi-objective Bayesian optimization by Kohei Nakamura, Daigo Furuya, Yoshio Miura, Takahiro Yamazaki, Alexandre Lira Foggiatto, Yuma Iwasaki, Masato Kotsugi

“…As a result, MBO efficiently suggested the following three materials – Fe/Fe/Fe/Ni/Fe/Ni, Fe/Co/Fe/Co/Fe/Ni, and Fe/Co/Co/Fe/Ni/Ni – that exhibit thermodynamic stability while demonstrating an MCA value up to four times larger than that of L10-FeNi. …”
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Factors Related to Bone Metabolism in Kidney Transplant Recipients by Chenxiu Wang, Yanan Huo, Xinchang Li, Anhua Lin, Qingxiang Hu, Changhui Xiong, Ying Deng

“…Logistic regression analysis showed that a higher phosphorus value and higher alkaline phosphatase concentration and a longer use of glucocorticoids were risk factors for bone mass loss in KTRs, and maintaining an appropriate weight and exercising an appropriate number of times per week helped to maintain bone mass.…”
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High-Resolution Mapping of Litter and Duff Fuel Loads Using Multispectral Data and Random Forest Modeling by Álvaro Agustín Chávez-Durán, Miguel Olvera-Vargas, Inmaculada Aguado, Blanca Lorena Figueroa-Rangel, Ramón Trucíos-Caciano, Ernesto Alonso Rubio-Camacho, Jaqueline Xelhuantzi-Carmona, Mariano García

“…Our modeling approach allows us to estimate the continuous high-resolution spatial distribution of litter and duff fuel loads, aligned with their ecological context, which dictates their dynamics and spatial variability. The method achieved acceptable accuracy in monitoring litter and duff fuel loads, providing researchers and forest managers with timely data to expedite decision-making in fire and forest fuel management.…”
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Effects of transcranial direct current stimulation combined with motor relearning program on strength and balance in stroke patients by Muhammad Hamad Haleem, Mirza Obaid Baig, Turki Abualait, Woo-Kyoung Yoo, Sumaiyah Obaid, Shahid Bashir

“…Results There were no statistically significant effects in the experimental group for either strength or balance (p-value > 0.05) but there were time effects for both variables especially during the intervention period in both the experimental and control groups. …”
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Optimal Design Method of Integrated Energy Systems Considering Staged Planning and Equipment Replacement by Lei ZOU, Yiming TANG, Zhuping LIU, Zhengyong WU, Chao FANG, Chaoqun WANG, Fushuan WEN

“…Then, with the whole project cycle as the optimization time scale, the relationship between the equipment installation year and the current remaining life is modeled by introducing the equipment selection and operation decision variables. …”
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Cultivar loss and conservation of genetic resources of the phureja potato (Solanum phureja L., Phureja Group) in Peru by Juan F. Seminario, Leónidas S. Concha-Tupayachi, Alejandro Seminario-Cunya, Tulio Medina-Hinostrosa, Wilsser Silva

“…It stands out for its nutritional value and its contribution to food security. However, it faces a high risk of disappearance in Peru. …”
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Determinants of Market Information Infrastructure and Arrivals of Minor Forest Produce (MFP) In High Altitude and Tribal (HAT) Zone of Andhra Pradesh by Ch. Satish Kumar, K. Nirmal Ravi Kumar, K. Solmon Raju Paul, P. V. Sathya Gopal, V. Srinivasa Rao

“…Local government should focus on constructing suitable road facilities, conduct awareness programs about value addition units and educate the tribal farmers about importance of MFP. …”
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The Effect of Ohmic, High-Pressure Carbon Dioxide (HPCD), and Maceration Extraction methods on Bioactive Compounds of Iranian Brown Algae (Nizimuddinia zanardini) by Atefe Taherkhani, Akram Sharifi, Mohammed Koubaa

“…This study aimed to investigate the effects of temperature and time variables in ohmic, HPCD, and maceration extraction methods on extraction yield, total phenolic content, total phlorotannin content, total flavonoid content, and antioxidant activity (DPPH radical scavenging) of the Iranian brown seaweed Nizimuddinia zanardini. …”
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