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This includes supplemental figures and tables for Gang et al., 2025 "Generation and validation of an aryl hydrocarbon receptor knockout human embryonic stem cell line"

Lateral epicondylitis is a disease characterized by pain in the elbow caused by excessive repetitive movements that affect the extensor carpi radialis brevis tendon. Following this, the treatment currently recommended is the use of anti-inflammatories and injection of corticosteroids, which demonstrates a long-term risk to the patient. And in this scenario, acupuncture emerged as a proposal to reduce these risks and treat pain. The main objective of this study is to investigate the effectiveness of acupuncture in the treatment of lateral epicondylitis in adults. This study is an integrative review, which, based on a guiding question, searched the main databases, BVSalud and Pubmed, where it incorporated its searches into the Rayan platform1. From which, two masked researchers analyzed these articles and then after removing the masking and resolving the conflicts, the extraction protocol was used to read the articles in full and thus the present review was developed. The result of this review demonstrates that acupuncture, when compared to conventional treatment with anti-inflammatory drugs, corticosteroid injections and placebo, demonstrated better efficacy rates compared to isolated treatment. Similarly, acupuncture has demonstrated safety in all articles for the treatment of lateral epicondylitis. In short, unanimously, all articles agree that acupuncture demonstrates clear effectiveness in the treatment of lateral epicondylitis. However, some authors recommend that to ensure this citation, more well-designed studies need to be developed.

This data contained the paleotempest records on the basis of loss-on-ignition (LOI) and X-ray fluorescence (XRF) analyses from six sediment cores - GP-13 & 15, CB-8, PI-1 & 2 (sites 25 & 26), and FBM-1, from Nicaragua and Belize

This data represents the outdoor temperature used in the thesis which was recorded in Coimbra.

COMAP3/comapRid MATLAB toolbox (general scripts, functions, user's guide and tutorial data). Version 3 (2025) . Compared to Version 1, described in Teza G., Pesci A., 2019. “Evaluation of the Temperature Pattern of a Complex Body from Thermal Imaging and 3D Information: A Method and Its MATLAB Implementation.” Infrared Phys. Technol. 96: 228-237, doi 10.1016/j.infrared.2018.11.029, Version 3 features several improvements for texture mapping any JPEG or TIFF image onto a point cloud, for example to enrich a 3D model with information from historical images (new general script: comapRid), including a quality evaluation of the result. Regarding temperature correction of a thermal JPEG image, the new version does not contain any significant changes. Compared to Version 2 (July 2025), in Version 3 some errors related to comapRid are fixed and, in addition, new tutorial data specific for comapRid are provided. An example of application of Version 3 for cultural heritage preservation purposes is shown in Pesci A., Teza G., Rossetti A., Bondanelli M., 2025. Texturing Historical Data into 3D Models: San Giorgio in Argenta Parish Church (FE). J. Surv. Eng., in press.

Sediment geochemical characteristic analysis of 68 samples taken from the 7 sediment core sections in Baoding Plain; Aqueous and solid phase geochemistry data during short- and long- incubation for As release under reclaimed water infiltration.

UIDT establishes a unified, mathematically rigorous framework that integrates quantum, relativistic, and cosmological scales under a single information-dynamical principle. The central hypothesis proposes that mass, time, and curvature emerge from quantized informational degrees of freedom (QUIDT) — a direct coupling between entropy flow, energy density, and geometric evolution.

This repository has simulation data for 2D Nematic Multi Particle Collision Dynamics ( N-MPCD ) in a VTK format with different interaction energy U = [4,6,8,10 ] confined in a square with sizes L = [96,128] using the Maier-Saupe mean field theory. This dataset is used for training and testing a Convolutional Neural Network aimed at detecting and classifying topological defects with charges +1/2 and -1/2

This dataset is comprising coordinates of Christian religion sites in Nevşehir province, Türkiye.

This dataset is on transformational leadership and employee performance