Design, implementation & first run problems of a factory corporate network

En aquest projecte s'ha dut a terme el disseny de la infraestructura de comunicacions i de xarxa d'una fàbrica que comptarà amb zones de producció i d’oficines corporatives, s'han analitzat les subseqüents necessitats dels recursos de comunicacions dels diferents departaments per determinar els equipaments de xarxa necessaris, així com la topologia de la jerarquia d'interconnexions. Igualment, s'ha tingut en compte la infraestructura de connexions sense fils per donar cobertura als dispositius tant corporatius com de dispositius personals o treballadors externs. Un cop establerta la topologia de xarxa, s'ha realitzat l'assignació d'adreces IP, segmentant la xarxa en diferents VLANs segons una classificació de funcionalitats i necessitats de la mateixa (nombre de dispositius, servidor DHCP, nivells de seguretat…) Finalment, s'ha realitzat un estudi econòmic respecte al pressupost del qual es disponia per al projecte i el que finalment ha fet falta per cobrir tot el material, obres i hores d’enginyeria necessaris per a la realització d'aquest.In this project, the design of the communications and network infrastructure of a factory that will have production areas and corporate offices has been carried out, the subsequent needs of the communications resources of the different departments have been analyzed for determine the necessary network equipment, as well as the topology of the interconnection hierarchy. Similarly, the infrastructure of wireless connections has been taken into account to provide coverage for both corporate devices and personal devices or external workers. Once the network topology has been established, the assignment of IP addresses has been carried out, segmenting the network into different VLANs according to a classification of functionalities and its needs (number of devices, DHCP server, security levels...) Finally , an economic study has been carried out with respect to the budget that was available for the project and what was ultimately needed to cover all the material, works and hours of engineering necessary to carry it out

Accuracy and Survival Outcomes after National Implementation of Sentinel Lymph Node Biopsy in Early Stage Endometrial Cancer

Background. Sentinel lymph node (SLN) biopsy has recently been accepted to evaluate nodal status in endometrial cancer at early stage, which is key to tailoring adjuvant treatments. Our aim was to evaluate the national implementation of SLN biopsy in terms of accuracy to detect nodal disease in a clinical setting and oncologic outcomes according to the volume of nodal disease. Patients and Methods. A total of 29 Spanish centers participated in this retrospective, multicenter registry including patients with endometrial adenocarcinoma at preoperative early stage who had undergone SLN biopsy between 2015 and 2021. Each center collected data regarding demographic, clinical, histologic, therapeutic, and survival characteristics. Results. A total of 892 patients were enrolled. After the surgery, 12.9% were suprastaged to FIGO 2009 stages III-IV and 108 patients (12.1%) had nodal involvement: 54.6% macrometastasis, 22.2% micrometastases, and 23.1% isolated tumor cells (ITC). Sensitivity of SLN biopsy was 93.7% and false negative rate was 6.2%. After a median follow up of 1.81 years, overall surivial and disease-free survival were significantly lower in patients who had macrometastases when compared with patients with negative nodes, micrometastases or ITC. Conclusions. In our nationwide cohort we obtained high sensitivity of SLN biopsy to detect nodal disease. The oncologic outcomes of patients with negative nodes and low-volume disease were similar after tailoring adjuvant treatments. In total, 22% of patients with macrometastasis and 50% of patients with micrometastasis were at low risk of nodal metastasis according to their preoperative risk factors, revealing the importance of SLN biopsy in the surgical management of patients with early stage EC

Systematic Collaborative Reanalysis of Genomic Data Improves Diagnostic Yield in Neurologic Rare Diseases

Altres ajuts: Generalitat de Catalunya, Departament de Salut; Generalitat de Catalunya, Departament d'Empresa i Coneixement i CERCA Program; Ministerio de Ciencia e Innovación; Instituto Nacional de Bioinformática; ELIXIR Implementation Studies (CNAG-CRG); Centro de Investigaciones Biomédicas en Red de Enfermedades Raras; Centro de Excelencia Severo Ochoa; European Regional Development Fund (FEDER).Many patients experiencing a rare disease remain undiagnosed even after genomic testing. Reanalysis of existing genomic data has shown to increase diagnostic yield, although there are few systematic and comprehensive reanalysis efforts that enable collaborative interpretation and future reinterpretation. The Undiagnosed Rare Disease Program of Catalonia project collated previously inconclusive good quality genomic data (panels, exomes, and genomes) and standardized phenotypic profiles from 323 families (543 individuals) with a neurologic rare disease. The data were reanalyzed systematically to identify relatedness, runs of homozygosity, consanguinity, single-nucleotide variants, insertions and deletions, and copy number variants. Data were shared and collaboratively interpreted within the consortium through a customized Genome-Phenome Analysis Platform, which also enables future data reinterpretation. Reanalysis of existing genomic data provided a diagnosis for 20.7% of the patients, including 1.8% diagnosed after the generation of additional genomic data to identify a second pathogenic heterozygous variant. Diagnostic rate was significantly higher for family-based exome/genome reanalysis compared with singleton panels. Most new diagnoses were attributable to recent gene-disease associations (50.8%), additional or improved bioinformatic analysis (19.7%), and standardized phenotyping data integrated within the Undiagnosed Rare Disease Program of Catalonia Genome-Phenome Analysis Platform functionalities (18%)