oncolytic HSV-1: IF and brightfield data

These are different pictures taken at the confocal microscope as well as at the fluorescence microscope to analyze the effect of different oHSV-1 on MDA-MB-231 cell vitality as well as the expression of transgenes (EGFP)

Verteporfin induces apoptosis and reduces the stem cell-like properties in Neuroblastoma tumour-initiating cells through inhibition of the YAP/TAZ pathway

Data and manuscript. We evaluated the pharmacological targeting of YAP/TAZ with the YAP/TAZ-TEAD inhibitor Verteporfin (VP) in Tumour Initiating Cells (TICs) derived from High-Risk Neuroblastoma patients. VP treatment suppresses YAP/TAZ expression, induces apoptosis and causes the re-organization of the cytoskeleton reducing cells migration and clonogenic ability. Moreover, VP reduces the percentage of side population cells and ABC transporters involved in drug resistance, and the percentage of stem cell subpopulations CD133+ and CD44+ of TICs. Finally, we demonstrated that VP sensitizes TICs to the standard drugs used for neuroblastoma therapy etoposide and cis-platin opening the way to use VP as drug repositioning candidate for recurrent neuroblastoma

Expert opinion elicitation on GIS use for surveillance and disease response in the aquatic animal health domain

Questions, experts' profile and results of a world expert opinion elicitation conducted (2023) through an online survey on the current implementation of GIS for surveillance and disease response in the aquatic animal health domain

Data for Periodic protected agriculture mapping at continental scales with Sentinel-2 imagery within the Google Earth Engine platform

The collection contains the script as a .txt file to run the classifier OPAC and its whole workflow in the Google Earth Engine platform

Exo placebo order picking experimental campaign

Collection of motion capture data of an experimental campaign carried out at DTG (Department of Management and Engineering, University of Padua) for exoskeleton utilization in order picking. 53 subjects did order picking tasks with and without exoskeleton following a single blinded placebo controlled protoco

Computer code for analysis of mixed-oscillations in cortical neurons

XPPAUT and MATLAB files used in the work "Modelling and analysis of cAMP-induced mixed-mode oscillations in cortical neurons: Critical roles of HCN and M-type potassium channels" by Matteo Martin and Morten G Pedersen (PLoS Computational Biology, 2024

Questset

The rapid development of Virtual Reality (VR) technology has led the industry and research community to look at its major challenges with increased interest. The main challenge in ensuring a high Quality of Experience (QoE) for users is represented by cybersickness, a phenomenon similar to motion sickness experienced by many VR users, while at the same time, the high data rates needed by VR require the definition of traffic models for network optimization. These two problems are intertwined, but have never been studied jointly before due to the lack of suitable datasets. In this paper, we present Questset, the first dataset designed for this purpose. Questset contains over 40 hours of VR traces from 70 users playing commercially available video games, and includes both traffic data for network optimization, and movement and user experience data for cybersickness and QoE analysis. Therefore, Questset represents an enabler to jointly address the main VR challenges in the near future

Fiber optics passive monitoring of groundwater temperature reveals three-dimensional structures in heterogeneous aquifers: data and codes repository

This dataset includes experimental data and codes for analysis of three-dimensional structures in heterogeneous aquifers. Setup and output files of the numerical models and codes, to analyze the results, are provided

Optimal constrained design of control charts using stochastic approximations

In statistical process monitoring, control charts typically depend on a set of tuning parameters besides its control limit(s). Proper selection of these tuning parameters is crucial to their performance. In a specific application, a control chart is often designed for detecting a target process distributional shift. In such cases, the tuning parameters should be chosen such that some characteristic of the out-of-control (OC) run length of the chart, such as its average, is minimized for detecting the target shift, while the control limit is set to maintain a desired in-control (IC) performance. However, explicit solutions for such a design are unavailable for most control charts, and thus numerical optimization methods are needed. In such cases, Monte Carlo-based methods are often a viable alternative for finding suitable design constants. The computational cost associated with such scenarios is often substantial, and thus computational efficiency is a key requirement. To address this problem, a two-step design based on stochastic approximations is presented in this paper, which is shown to be much more computationally efficient than some representative existing methods. A detailed discussion about the new algorithm’s implementation along with some examples are provided to demonstrate the broad applicability of the proposed methodology for the optimal design of univariate and multivariate control charts. Computer codes in the Julia programming language are also provided in the supplemental material

A new roadmap for an age-inclusive workforce management practice and an international policies comparison

The full data set collected by the authors is reported in tables A1, A2, and A3. The data was collected and reported according to the three levels: international level, country/regional level, and company level for six domains for age-inclusive management including (1) Organizational culture and leadership, work design and ergonomics, (3) Health management, (4) knowledge management, (5) Intergenerational coexistence and finally (6) retirement pathways