BUSCADOR RECOLECTA

Supplementary Figure 1. Placement of electrodes within tumour-infiltrated tissue. Electrode locations are represented in red. The outline of each tumour mask is coloured green., Supplementary Figure 2. Time course of high gamma power modulations in tumour-infiltrated tissue for the hard vs. easy contrast. Average time course across all electrodes that showed significant change in power for this contrast, smoothed by a 1000 ms Gaussian kernel (SD=200 ms). Data is average across all trials, cropped to the shortest trial duration. Shaded area indicates SEM., Supplementary Figure 3. The relationship between tumour-DAN connectivity and performance on the Hearts Cancellation task stratified by glioma subtype. Scatterplots of the relationship between overall accuracy on the Hearts Cancellation Task and tumour-DAN connectivity at the preop and latest follow up timepoints, as well as the difference between the follow up and preoperative scores stratified by glioma subtypes indicated in Table 1. The preoperative and follow-up Heart Cancellation Scores were Z-score normalized using descriptive statistics from healthy participants., Supplementary Table 1. Relationship between functional network connectivity and power modulations for hard>easy contrast across different frequency bands. The relationships between functional network connectivity and power modulations were assessed using linear mixed-effects models. Chi-square test statistics are displayed with the corresponding P-values in parentheses. In certain cases, a P-value could not be accurately calculated because of a poorly fit model, indicated in the table as “NA”., Supplementary Table 2. Results of multiple linear regression models predicting Tumour-DAN Connectivity and long-term outcomes on the Heart Cancellation task, excluding participants without a Month 3 or greater follow-up assessment., Peer reviewed

Additional SAXS diagrams, TEM and HRTEM images, TEM–EDS, TGA, and DSC analysis of the precipitate, XRD patterns of the precipitate obtained with different amines, and the evolution of the corresponding interplanar distance., Peer reviewed

This program aims to improve the quality of life and pain in breast cancer survivors. For this purpose, combines two tools (PNE and GEM) that have shown efficacy in other populations with chronic pain1-12. This program is created based on the biopsychosocial13 model and the focused-person14 attendance and tries to empower women regard to their pain management and their health. The program will be applied in a group format., [Introduction] Cancer-related chronic pain is an important sequelae that damages the quality of life of breast cancer survivors. Pain neuroscience education and graded exposure to movement are therapeutic tools that have been shown to be effective in the management of chronic pain in other populations. However, there are no previous studies that combine them after breast cancer., [Objective] To evaluate the effectiveness of an online physiotherapy focused-person program which combines pain neuroscience education and graded exposure to movement for quality of life improvement in breast cancer survivors., [Methodology] This protocol is a randomized controlled trial with a sample size of 40 breast cancer survivors with pain in the last 6 months. Participants will be allocated to the experimental or control group using a fixed size block randomization method. The evaluator and statistician will be blinded to participant allocation. Participants in the experimental group will receive a 12-week intervention based on pain neuroscience education and therapeutic yoga as a graded exposure to movement exercise; participants in the control group will continue with their usual cancer-related symptoms care. Both groups will receive an education booklet. The main outcome will be quality of life, measured by the Functional Assessment of Cancer Therapy – Breast (FACT–B+4); secondary, four outcomes related to pain experience (catastrophising, self-efficacy, kinesiophobia and fear-avoidance behaviors) will be also assessed. All variables will be assessed by two blinded evaluators at four timepoints. A mixed-model analyses of variance ANOVA (2 × 4) will be used to study the effects of the treatment on the dependent variables. All statistical tests will be performed considering a confidence interval of 95%. SPSS program will be used for the data analysis., [Discussion] This research is expected to contribute to breast cancer rehabilitation field. The proposed intervention is also expected to improve self-care skills related to chronic pain and to empower women regarding the management of their symptoms and quality of life., [Clinical trial registration] https://clinicaltrials.gov/, NCT04965909., Peer reviewed

-Additional details for synthesis, HE-XRD experiments, and DFT calculations (PDF). -3D structure modeling (AVI)., Peer reviewed

Details on experimental methods, additional data and analysis., Peer reviewed

Supplementary data: Briefly, lifetime dependence on power (Fig. S1), lifetime fitting components (Fig. S2), emission intensity according with the different measurements necessary to get pure PL QY (Fig. S3), explanation on the error bars of PL QY measurements, TEM images of CNDs (Fig. S4), Raman spectrum (Fig. S5), FTIR (Fig. S6), nitrogen absorption feature in N-doped CNDs (Fig. S7)., Peer reviewed

The resistance of an ordered 3D-Bi2Te3 nanowire nanonetwork was studied at low temperatures. Below 50 K the increase in resistance was found to be compatible with the Anderson model for localization, considering that conduction takes place in individual parallel channels across the whole sample. Angle-dependent magnetoresistance measurements showed a distinctive weak antilocalization characteristic with a double feature that we could associate with transport along two perpendicular directions, dictated by the spatial arrangement of the nanowires. The coherence length obtained from the Hikami–Larkin–Nagaoka model was about 700 nm across transversal nanowires, which corresponded to approximately 10 nanowire junctions. Along the individual nanowires, the coherence length was greatly reduced to about 100 nm. The observed localization effects could be the reason for the enhancement of the Seebeck coefficient observed in the 3D-Bi2Te3 nanowire nanonetwork compared to individual nanowires., No

According to the open access nature and its exceptions in the datasets regulation of the Call ERC-2021-ADG, and having reflected the following statements in the Data Management Plan of such project (ID: 101052603; POWERbyU; ERC-2021-ADG), the authors of the data associated with this publication state the following: The datasets associated with this publication will be available upon request, due to these datasets being subjected to Intellectual Property Restrictions; requests by externals for the use of these datasets will be approved by the project coordinator. Please, contact Prof. Marisol Martín-González: marisol.martin@csic.es This modus operandi will remain in effect, at least until the end of the project., This Dataset is referring to thefollowing study, which presents an approach for powering wearable sensors by integrating nanostructured bismuth telluride (Bi2Te3 and Te legs) into flexible polyester substrates. The choice of polyester as the substrate is because it is widely used in clothing, especially in items such as shirts, blouses, dresses, and sportswear. This enables seamless integration with wearable devices. By capturing wasted body heat, our small and flexible thermoelectric generators (TEGs) offer long-term operation without the need to plug the batteries. We demonstrate the feasibility of using commercially available polyester for reproducible electrochemical deposition of highly oriented Bi2Te3 and Te material. Through electrodeposition, we embed Bi2Te3 and Te legs within the flexible polyester, creating a cost-effective and easily scalable hybrid system for wearable energy harvesting. Our optimized TEG design, which can be worn on the arm or forehead, achieves impressive power density compared to existing state-of-the-art solutions. With a mere 3.5 °C temperature difference, only two pairs of p- and n-type legs, and a thickness of approximately 15 µm, our TEG generates a maximum open circuit voltage of ∼0.1 mV and a maximum power density of ∼0.04 mW·K-1·cm−2. With 250 pairs, 10 mV can be reached. This cost-effective design also integrates electrical contacts, surpassing previous flexible TEG performances. These advancements make our TEGs suitable for driving microwatt-level electronic sensors and open new avenues for efficient energy harvesting in wearable applications., We acknowledge the European Synchrotron Radiation Facility (ESRF) for provision of synchrotron radiation facilities under proposal number MA-4864 and we would like to thank Dr. Federico Monaco and Dr. Peter Cloetens for assistance and support in using beamline ID16A-NI. O.C-C would also like to acknowledge fruitful discussions with Dr. Germán Alcalá, David López Romero and the assistance with SEM images from Raquel Álvaro Bruna. The authors would like also to acknowledge the service from the MiNa Laboratory at IMN, and its funding from CM (project SpaceTec, S2013/ICE2822), MINECO (project CSIC13–4E-1794), and EU (FEDER, FSE). This work has been supported by the Ramon Areces Foundation through the micro-TENERGY project and by the ERC PowerbyU., No

According to the open access nature and its exceptions in the datasets regulation of the Call ERC-2021-ADG, and having reflected the following statements in the Data Management Plan of such project (ID: 101052603; POWERbyU; ERC-2021-ADG), the authors of the data associated with this publication state the following: The datasets associated with this publication will be available upon request, due to these datasets being subjected to Intellectual Property Restrictions; requests by externals for the use of these datasets will be approved by the project coordinator. Please, contact Prof. Marisol Martín-González: marisol.martin@csic.es This modus operandi will remain in effect, at least until the end of the project., Nanowires are excellent model systems for investigating the effects of low dimensionality in materials. Controlling the diameter of the nanowires, and hence its surface-to-volume ratio, the presence or relevance of surface-related characteristics can be addressed. This is of particular interest in the case of topological insulators owing to electronic surface states (topologically protected) independent from bulk states. Tetradymite chalcogenides Bi2Te3, Bi2Se3, and Sb2Te3 are small band gap semiconductors with wide application in state-of-the-art Peltier cooling devices or thermoelectric power generators. They are also strong 3D-topological insulator, with topologically protected states predicted to appear on any free surface regardless of the crystallographic orientation. This Dataset is referring to the following study, in which the resistance of an ordered 3D-Bi2Te3 nanowire nanonetwork was studied at low temperatures. Below 50 K the increase in resistance was found to be compatible with the Anderson model for localization, considering that conduction takes place in individual parallel channels across the whole sample. Angle-dependent magnetoresistance measurements showed a distinctive weak antilocalization characteristic with a double feature that we could associate with transport along two perpendicular directions, dictated by the spatial arrangement of the nanowires. The coherence length obtained from the Hikami–Larkin–Nagaoka model was about 700 nm across transversal nanowires, which corresponded to approximately 10 nanowire junctions. Along the individual nanowires, the coherence length was greatly reduced to about 100 nm. The observed localization effects could be the reason for the enhancement of the Seebeck coefficient observed in the 3D-Bi2Te3 nanowire nanonetwork compared to individual nanowires., The authors would like to acknowledge the financial support from the projects ERC Adv. POWERbyU 101052603, PID2020-118430GB-100, and PID2019-106165GB-C21 (MICINN) and project 2D-MESES from CSIC. This work was also cofinanced by the 2014–2020 ERDF Operational Programme and the Department of Economy, Knowledge, Business and University of the Regional Government of Andalusia, project reference no. FEDER-UCA18-107139. The authors would also like to acknowledge the service from the MiNa Laboratory at IMN, and its funding from CM (project SpaceTec, S2013/ICE2822), MINECO (project CSIC13-4E-1794), and EU (FEDER, FSE). F.P. acknowledges the support from ICREA Academia 2022 and 2021SGR00242, Generalitat de Catalunya., No

Supporting file and references, Peer reviewed