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–Four Supplementary materialss accompany this manuscript: Supplementary materials S1 (raw data in CSV format), Supplementary materials S2 (PRISMA 2020 checklist), Supplementary materials S3 (complete search strategies for all databases) and Supplementary materials S4 (Safety outcomes forest plots).

We explore the negative balance sheet effect of foreign currency borrowing on the exchange rate pass-through to domestic prices. Exploiting a large, unexpected depreciation episode in Korea in 1997, we show that firms with higher foreign currency debt experience balance sheet deterioration and face lower growth rates of net worth, sales, and markups. We then empirically document that sectors populated by firms with higher foreign currency debt exposure prior to the depreciation exhibit larger price increases. Building a heterogeneous-firm model with financial constraints, we quantify the role of foreign currency debt in explaining the exchange rate pass-through to prices and find that 10% to 44% of sectoral price changes during the depreciation episode can be explained by the balance sheet effect of foreign currency debt alone. We emphasize the role of strategic complementarity in amplifying sectoral price increases.

README: OVERVIEW: This repository contains code and interactive plots for "“Spatiotemporal metabolic networks in pancreatic cancer and associated cachexia”. SYSTEM REQUIREMENTS: Hardware: Standard computer with enough RAM. Software: MATLAB version R2020b or later. Note: Our scripts were made on MATLAB for macOS. Some modifications for Windows may need to be made. INSTALLATION GUIDE: MATLAB can be downloaded here: https://www.mathworks.com/help/install/ug/install-products-with-internet-connection.html -Follow standard instructions by MathWorks. Time to install: about 10 minutes INSTRUCTIONS FOR USE: Codes are available for 3D scatterplots, Dandelion Plots, Umbrella Plots, and Prediction Models. Codes in Text files can be downloaded for viewing in Text editor apps, but must be copied into MATLAB in order to run. To run each MATLAB script: Download data files from same folder. Copy directory of the data files to the top of the script as prompted. Run script. Graphs/figures from the manuscript will be generated. Expected Run time: <10 minutes for most scripts, up to an hour for prediction models. Note: models that include multiple iterations/random selection of subsampling will yield slightly different results each time it is run. A representative example was used in the manuscript. "Interactive" Plots are in sub-folders in 3DScatterplots, CorrelationPlots, DandelionPlots, and UmbrellaPlots. All interactive plots have a ".fig" extension which also requires MATLAB to open and interact. 3D scatterplots can be rotated, and data tips show each metabolite name and coordinates. Correlations plots can be zoomed in/out and panned. Additionally, Heatmaps are available as .eps files, and can be downloaded and viewed. Source Files folder contains: -Metabolomics for each method per tissue (not normalized or processed). -Tracing source data

This supplementary data includes a study design with specific ICD-10-CM and RxNorm codes on TriNetX database as well as demographics data and treatment information of included patients.

This is the supplementary data tables for "Isotopic variations in lunar mantle reservoirs recorded by 3 Ga basaltic meteorites", which contain the data for experimental setup for EPMA (Table S1), modal bulk-rock calculations (Table S2), Pb-Pb SIMS data (Table S3), experimental setup and data processing summary of LA-ICP-MS (Table S4), analytical results and uncertainties of LA-ICPMS analyses of samples and standards (Table S5), summary of EPMA (wt.%) and LA-ICPMS (ppm) results for pyroxene (Table S6), olivine (Table S7), plagioclase/maskelynite (Table S8), summary of EPMA (wt.%) results for oxides (Table S9), phosphate (Table S10), metal & sulphide (Table S11), summary of ages, initial Pb ratios and estimated μ values of the source regions of the lunar meteorites in this study, other 3.0 Ga basaltic meteorites and NWA 773 clan samples (Table S12), results of calculations of melt compositions in equilibrium with pyroxene and plagioclase (Table S13), MATLAB calculation results of the μ-values in the sources of 3.1–2.9 Ga meteorites (Table S14); and two endmember mixing modelling (Table S15)..

Raw data related to the results obtained within the project PRELUDIUM21 nr. 2022/45/N/ST5/03665 from article "Wavelength-Dependent 3D Printing: Introducing 3D Printed Action Plots". https://doi.org/10.1002/adma.202523664

Here we publish the raw datasets from two experiments investigating the effects of correct and incorrect demonstrations, as well as their order, on causal learning in 2- to 4-year-old children. The background, methods, and results of two experiments are described in the accompanying manuscript. Here is the abstract from our manuscript: Observing others’ demonstrations is an important route through which children acquire causal knowledge and develop scientific thinking. Using the trap-tube paradigm, the present study investigated the effects of correct and incorrect demonstrations and their order on causal learning in 2-4-year-olds. Experiment 1 (N = 352) showed that 2-year-olds showed no evidence of causal learning across all demonstration types, and their performance did not differ significantly between conditions. Among 3-year-olds and 4-year-olds, performance was better overall in the mixed-demonstration conditions than in the single-demonstration conditions. Within mixed demonstrations, order affected only 3-year-olds, with better performance in the correct-then-incorrect condition than in the incorrect-then-correct condition. Experiment 2 (N = 365) showed that 2-year-olds did not differ significantly across demonstration types, and their performance was largely near chance, whereas 3-year-olds and 4-year-olds performed better in the mixed-demonstration conditions than in the consistent-demonstration conditions. All children were more likely to change the side of insertion in the mixed-demonstration conditions than in the consistent-demonstration conditions. Overall, the findings suggest that mixed demonstrations support causal learning from age 3 onward, whereas evidence in 2-year-olds was weak and inconsistent.

A total of 400-day-old broiler chickens of the Ross 308 strain were used in a completely randomized design, with 5 dietary treatments and 4 replications, each containing 20 birds. The treatments were as follows: 1. Control (basal diet without additives); 2. Control + Phytase: (PHY; 2000 FTU/kg); 3. Control + acidifier (ACI; 3 gr/ kg); 4. Control + Phytase + acidifier (PHAC), and 5. Low-phosphorus diet + Phytase + Acidifier (LPHAC). In total period (1–42 days), feed conversion ratio (FCR) was significantly improved in birds receiving PHAC and LPHAC diets compared to those fed the control diet supplemented only with ACI diet (P<0.05). Additionally, ALP enzyme increased in birds fed with ACI and PHAC diets, compared to chicks fed control with LPHAC diet (P<0.05). Nitrogen level of birds decreased when fed control with LPHAC diet, compared to birds fed on the control diet (P<0.05). Based on the results, supplementation of phytase enzyme and acidifier, especially when combined with reduced dietary phosphorus, improved early growth performance, feed efficiency, and intestinal morphology in broilers. Data Availability: Raw data for growth performance, blood profileare and litter characteristics available from the corresponding author. All processed datasets and analytical outputs will be provided upon reasonable request. Declaration of competing interest: We declare that we have no financial and personal relationships with other people or organizations that can in appropriately influence our work, and there is no professional or other personal interest of any nature or kind in any product, service and/or company that could be construed as influencing the content of this paper

Review work containing 122 pages, 11 figures, 3 tables and a list of 105 references which includes the articles Physica A387 6497 (2008), Physica A519 313 (2019), Physica A583 126278 (2021), on classical and quantum coherent distributions. Replaces doi:10.17632/ntkzv6dxy3.1 of December 12 2025, to improve notation.

This dataset provides a controlled, multi-temporal collection of street-level video recordings of a single reinforced-concrete building under active construction, captured from a fixed-viewpoint camera at the International Information Technology University (IITU) in Almaty, Kazakhstan. It was assembled to study the visual invariance of building floor-count estimation across construction stage, illumination, weather, and season, and accompanies the associated manuscript currently under peer review. The recordings span a twelve-month period, from May 2025 to April 2026. Because all footage depicts the same structure from the same vantage point, the building has a fixed ground-truth count of six structurally completed floors throughout the sequence; the collection is therefore intended as a robustness resource over environmental and construction-stage variation rather than as a source of floor-count class diversity. Between May and August 2025 the building was in a raw construction stage (exposed reinforced-concrete frame with no installed curtain-wall glazing or cladding); from September 2025 onward, progressive installation of glazing and exterior cladding transitioned it into a partial-finish stage. A completed stage is not represented, as facade installation had not finished by the end of the observation window. Capture protocol: Footage was recorded by a stationary street-level camera with a fixed field of view directed at the building facade. The recordings capture day-to-day and seasonal variation in illumination, weather, and construction progress over the full observation window.Intended use: This dataset supports research on construction-stage building monitoring, floor-count estimation from street-level imagery, and the robustness of visual models to seasonal, weather, and construction-stage appearance change. The annotated still-frame subset used in the associated manuscript will be added in a subsequent version of this dataset. License: CC BY 4.0 Keywords: floor-count estimation; construction monitoring; street-level imagery; reinforced concrete; multi-temporal; building stock; computer vision