Mendeley Data Showcase

The dataset contains the raw data used to prepare the figures and plots of the article, which are related to the molecular dynamics (MD) study of AgamOBP9 in complex with ligands. • The two PDB files OBP9-PMD_rep-MD1 and OBP9-PMD_rep-MD2 are representative snapshots (the cluster centroids) of the two most populated clusters obtained from hierarchical agglomerative clustering of ~28,000 snapshots from the 4 MD simulations of OBP9 in complex with PMD (p-menthane-3,8-diol). The two snapshots superimposed with the X-ray structure of OBP9 complex with PMD were used to generate Figure S9. • RMSD_OBP9_CA.csv contains the root-mean-square deviation (RMSD) from the initial state of ligand-free OBP9 Cα atoms as a function of frame obtained every 10 ps of the 4 individual MD simulations performed. • RMSD_OBP9-[BC|BC-MPD|ME|PMD]_CA.csv are the RMSD values of OBP9 Cα atoms from the corresponding MD simulations with bound n-butyl cinnamate (BC), n-butyl cinnamate in the presence of 2-methyl-2,4-pentanediol (BC-MPD), methyl eugenol (ME) and PMD (p-menthane-3,8-diol). These data were used to prepare Figure S7. • RMSD_OBP9-[BC|BC-MPD|ME|PMD]_LIG.csv are the RMSD values of the ligand heavy atoms from the corresponding MD simulations, 4 for each system. These data were used to prepare Figure S6. • RMSF_OBP9.csv contains the root-mean-square fluctuations (RMSF, or Cα atomic fluctuations) per residue of OBP9 obtained from 4 MD simulations of ligand-free OBP9. • RMSF_OBP9-[BC|BC-MPD|ME|PMD].csv contain the per-residue RMSF values of each ligand-bound OBP9 system, for which 4 MD simulations were performed. These data were used to prepare Figure S8.

Suzetrigine Clinical Trial supplementary content

Background: Mitochondrial fission is mediated by Dynamin-related protein 1 (DRP1). Excessive mitochondrial fission supports rapid cell cycle progression in hyperproliferative cells by synchronizing nuclear and mitochondrial division through a process called mitotic fission. However, DRP1 alone appears insufficient to complete the terminal phase of fission and the mechanism linking fission to cell cycle progression remain unclear. In this study, we propose that Dynamin 2 (DNM2) interacts with DRP1 to regulate mitochondrial fission and cell cycle progression. Here we show that DNM2 is upregulated in pulmonary arterial smooth muscle cells in human and rodent pulmonary arterial hypertension (PAH PASMC), contributing to disease pathophysiology. Methods: Mitochondrial morphology, protein colocalization and fission were evaluated STED microscopy, protein interactions were examined by immunoprecipitation and transcriptomic changes by RNA-seq. DNM2 expression was measured in PASMC and lungs from PAH patients and rat models of PH-induced by monocrotaline (MCT) or SU5416/hypoxia (Su/Hx). The effects of silencing DNM2 on cell proliferation, cell cycle progression and apoptosis were measured by flow cytometry. Publicly available datasets were analyzed for single-cell RNA-Seq. In vivo siRNA against DNM2 was nebulized to MCT- and Su/Hx-PH rats and therapeutic effects were evaluated by cardiac catheterization and histological analyses. Results: DNM2 expression is increased PAH PASMC. Mechanistically, DNM2 interacts with DRP1 through its GTPase domain, facilitating Drp1 recruitment to mitochondria and promoting fission. Silencing DNM2 supresses fission and cell proliferation and promotes apoptosis. Additionally, siDNM2 induces G1/G0 cell cycle arrest by decreasing the expression of Regulator of Cell Cycle (RGCC), leading to downstream modulation of CDK4, Cyclin D1 and p27kip1. In contrast, augmenting DNM2 in normal PASMC increases fission and drives proliferation. The elevated DNM2 observed in PAH is mediated by reduced miR-124-3p levels and STAT3 activation. Together these findings suggest a miR-124-3p-STAT3-DNM2-DRP1-RGCC axis that promotes mitotic fission is upregulated in multiple cell types in PAH lungs including PASMC, airway epithelium, endothelial cells, fibroblasts, and macrophages. Nebulized siDNM2 effectively regresses established PAH in rat models of both sexes. Conclusion: DNM2 functions as a mediator in the terminal steps of DRP1-dependent mitochondrial fission and represents a promising therapeutic target in PAH.

This bibliometric investigation provides an in-depth overview of how scholarship on the mental health of healthcare workers has evolved across a twenty-five-year period. Rather than merely summarizing publication counts or citation patterns, the description offers a broader narrative of how the field has transformed, the scholarly communities driving it, and the structural shifts that have shaped research priorities globally. By sourcing data exclusively from the Web of Science core indexes, the study ensures high-quality, peer-reviewed literature, enabling a rigorous examination of how academic attention to healthcare workers’ psychological wellbeing has grown in scope and complexity. The use of advanced mapping tools such as Biblioshiny, VOSviewer, and CiteSpace allows the analysis to uncover hidden intellectual structures—revealing clusters of frequently co-cited authors, thematic concentrations, and collaborative networks linking countries and institutions. These visualizations illustrate how conversations have expanded from stress, burnout, and occupational strain to more nuanced constructs such as compassion fatigue, resilience, trauma exposure, and post-pandemic recovery. They also highlight shifting research priorities around global health emergencies, public health reforms, and debates on workforce safety. Beyond identifying prolific authors and institutions, the study traces how academic influence has shifted geographically, revealing strong international engagement in mental health scholarship. Patterns of cross-border collaboration illuminate how scientific communities respond to shared challenges, especially during crisis periods when healthcare workers face unprecedented psychological demands. The narrative further emphasizes the role of leading journals in shaping discourse by providing platforms for empirical, conceptual, and intervention-based studies. This extended description positions the bibliometric results within a broader context: the growing recognition of mental health as a critical determinant of healthcare system performance. It underscores how sustained research growth mirrors increasing global concern for the wellbeing of professionals who form the backbone of medical care. The findings collectively suggest a field that is expanding, diversifying, and becoming more interconnected, offering valuable insights for policymakers, practitioners, and scholars seeking to advance supportive strategies for doctors, nurses, and allied health personnel.

This dataset contains experimental acoustic measurements collected from drilling and lathe machine tools under different operating conditions. The data were recorded using a 31-channel microphone array to capture the acoustic signatures generated during machine operation. Two primary operating states are included in the dataset: idling condition, where the machine runs without material removal, and machining (in-process) condition, where active cutting or drilling operations are performed. The dataset is intended to support research in machine tool noise analysis, acoustic source localization, and signal processing techniques such as beamforming. The recorded acoustic signals can be used to study noise generation mechanisms in machining processes and to evaluate advanced noise imaging algorithms. In addition to the acoustic measurement files, the dataset also includes the spatial coordinates of the microphone array used during the experiments. The microphone array geometry is provided in terms of the position coordinates of each microphone, which are essential for performing array signal processing and beamforming analysis. The data are organized into separate folders corresponding to the different machine tools and operating conditions, including: Drilling machine (idling condition) Drilling machine (machining/in-process condition) Lathe machine (idling condition) Lathe machine (machining/in-process condition) Microphone array coordinate file These datasets can be used for research and development in acoustic imaging, noise source localization, machine condition monitoring, and experimental validation of signal processing algorithms.

This dataset contains the experimental short-circuit current (Isc) measurements collected during field testing of a dynamic double-layer bifacial photovoltaic prototype at Reggio Calabria, Italy (38°11'33.8"N, 15°38'02.1"E), between August and September 2025. The prototype consists of two vertically stacked layers of custom-designed bifacial TOPCon mini modules with independent rotation capability. Data were acquired every 30 seconds using INA260 current sensors. These data directly support all figures and comparative analyses presented in the associated publication.

The present study numerically investigates and optimizes the thermal performance of a box-type solar cooker integrated with phase change materials (PCMs) to enhance cooking efficiency and extend operation beyond peak solar hours. A comprehensive multiphysics model is developed in COMSOL Multiphysics, incorporating heat transfer in solids, surface-to-surface radiation, natural convection losses, and PCM phase change using the apparent heat capacity method. The model is first employed to optimize key design parameters, including glazing thickness, absorber plate thickness, pot thickness, material selection, and cooking load under both charging and discharging conditions. The optimized configuration consists of double glazing with 3 mm glass thickness and a 1.5 mm aluminium absorber plate, achieving favourable performance indicators (F₁ = 0.15 and F₂ = 0.38). Aluminium is selected for both absorber and pot due to its comparable thermal performance to copper, with lower weight and cost. A cooking load of 1.58 kg water is identified as representative for performance evaluation. The effect of PCM integration is examined using RT100, acetamide, acetanilide, and erythritol. While PCM incorporation reduces the peak water temperature compared to the non-PCM case (133–134 °C), it significantly enhances thermal regulation during the cooling phase. Among the PCMs, acetanilide exhibits superior late-hour performance, maintaining water temperatures of 66 °C at 10 h, 59 °C at 11 h, and 52 °C at 14 h. Cooking power analysis shows that the non-PCM case achieves the highest peak cooking power (53.2 W), whereas PCM-assisted systems demonstrate improved thermal storage. Standardized cooking power indicates that erythritol (57.6 W) and acetanilide (48.8 W) provide superior normalized performance. The study highlights that optimal PCM selection depends on matching melting temperature with the operating range, rather than latent heat alone, offering a physics-based framework for designing efficient solar cookers.

This dataset contains raw data and supplementary materials for "Factors Influencing Thermal Stimulation Patterns of Indirect Moxibustion Devices: An Agarose Phantom Study"

This dataset subset was created from the public LSUI dataset sourced from https://drive.google.com/file/d/10gD4s12uJxCHcuFdX9Khkv37zzBwNFbL/view?usp=sharing. The homepage for the LSUI dataset is: https://lintaopeng.github.io/_pages/UIE%20Project%20Page.html and the paper for the LSUI dataset is: https://arxiv.org/abs/2111.11843.

The dataset provides projected monthly and annual changes in electricity production for various technologies across Iran's primary climate zones through 2050. The projections are based on integrating climate data from the SSP5-8.5 scenario, mathematical relationships, and calculations linking climatic variables to technology capacity factors and electricity production, along with baseline production levels in 2021. The dataset includes both raw data and user-friendly pivot tables and charts to facilitate analysis.