Berlin V2X: A Machine Learning Dataset from Multiple Vehicles and Radio Access Technologies

The evolution of wireless communications into 6G and beyond is expected to rely on new machine learning (ML)-based capabilities. These can enable proactive decisions and actions from wireless-network components to sustain quality-of-service (QoS) and user experience. Moreover, new use cases in the area of vehicular and industrial communications will emerge. Specifically in the area of vehicle communication, vehicle-to-everything (V2X) schemes will benefit strongly from such advances. With this in mind, we have conducted a detailed measurement campaign that paves the way to a plethora of diverse ML-based studies. The resulting datasets offer GPS-located wireless measurements across diverse urban environments for both cellular (with two different operators) and sidelink radio access technologies, thus enabling a variety of different studies towards V2X. The datasets are labeled and sampled with a high time resolution. Furthermore, we make the data publicly available with all the necessary information to support the onboarding of new researchers. We provide an initial analysis of the data showing some of the challenges that ML needs to overcome and the features that ML can leverage, as well as some hints at potential research studies.Comment: 5 pages, 6 figures. Accepted for presentation at IEEE conference VTC2023-Spring. Available dataset at https://ieee-dataport.org/open-access/berlin-v2

BRCA1 gene expression in DMBA induced breast cancer in rats

Background and Objective: Breast cancer is one of the most frequent malignancies among women. This study was done to determine the BRCA1 gene expression in 7,12-Dimethylbenz(a)anthracene (DMBA) induced breast cancer in rats. Materials and Methods: In this experimental study, the breast cancer was induced by DMBA in Sprague dawley rats. After tumors arise, cell cultures were prepared and G-banding staining was performed on metaphase chromosomal smear. According to databases, genes in the affected area were collected and after comparing genome of the rats and human in changed chromosomal segments, a gene list was prepared. FISH technique was performed on BRCA1 gene to prove accuracy of chromosomal banding results. Results: Structural changes such as deletion occurred in chromosomes 10, which BRCA1 is located on. 24.7% of cells showed evidence of physical deletion in both copy of BRCA1 gene and 23.8% of cells showed deletion in one copy. Conclusion: Induced DMBA Breast cancer cells showed deletion in BRCA1 copy numbers. This gene may be involved in animal breast tumor model

Influence of loading and grafting on hard- and soft tissue healing at immediately placed implants. An experimental study in minipigs.

OBJECTIVES To histologically evaluate the influence of i) loading and ii) grafting on osseointegration and peri-implant soft tissue healing at immediately placed, self- cutting progressive tissue- level implants (TLX) in a minipig model. MATERIAL & METHODS TLX implants (n=56) were immediately placed following the extraction of the mandibular first and second premolars, bilaterally, in a total of n=14 minipigs. In each animal, the implant sites were allocated to the following four groups: 1. unloaded with simultaneous grafting using a bovine bone mineral; 2. unloaded without grafting; 3. loaded with simultaneous grafting; 4. loaded without grafting. Histomorphometrical assessments at 4 and 12 weeks (n=7 animals each) included primary (i.e. bone-to-implant contact - BIC) and secondary outcome measures (e.g. first bone-to-implant contact - fBIC, junctional epithelium length- JE, connective tissue contact length - CTC, biological width - BW = JE + CTC). RESULTS At 4 weeks, mean BIC values ranged from 74.5 ± 11.6% in group 2 to 83.8 ± 13.3% in group 1, and, at 12 weeks, from 75.5% ± 7.9% in group 2 to 79.9 ± 8.6% in group 1, respectively. Multivariate linear mixed regression did not reveal any associations between BIC and implant loading or grafting at 4 and 12 weeks. At 12 weeks, significantly higher fBIC values were noted in group 2 when compared with group 1. All groups showed comparable JE, CTC and BW values. CONCLUSIONS Implant loading and grafting had no major effects on osseointegration and peri-implant soft tissue healing at TLX implants