Attention-Deficit/Hyperactivity Disorders Effect on a Student\u27s Academic Achievement

Studies have shown that students with exceptionalities especially those diagnosed with intellectual disabilities struggle in the academic achievement (reading and math) compared to their age-matched controls (Van der Ven et al., 2011). However, there are mixed results were found with students with ADHD, ADHD does not affect the student’s achievement level, it affects their ability to get the information needed. Many receive 504 accommodation compared to getting services under IDEIA (US Department of Education, 2013). This will be a single-subject case study. This study examines academic level of an individual with ADHD. We will be administering three standardized tests to measure a student’s reading and math skills, and their overall level of academic achievement. We will also be conducting a total of six observations, a review of his cumulative folder and interviews with his general and special education teachers. We will analyze the standard scores from the test to gain a full picture of the student

Biomolecule recognition using piezoresistive nanomechanical force probes

Highly sensitive sensors are one of the enabling technologies for the biomarker detection in early stage diagnosis of pathologies. We have developed a self-sensing nanomechanical force probe able for detecting the unbinding of single couples of biomolecular partners in nearly physiological conditions. The embedding of a piezoresistive transducer into a nanomechanical cantilever enabled high force measurement capability with sub 10-pN resolution. Here, we present the design, microfabrication, optimization, and complete characterization of the sensor. The exceptional electromechanical performance obtained allowed us to detect biorecognition specific events underlying the biotin-avidin complex formation, by integrating the sensor in a commercial atomic force microscope.This work has been supported by the Spanish Ministry of Science and Innovation through projects NANOSELECT-CSD2007-00041(Consolider-Ingenio 2010) and TEC2011-23600, by the European Union through the COST ACTION TD1002 and partly supported by the PRIN-MIUR Project No. 2009 WPZM4S and by AIRC (Grant IG10412.)Peer reviewe

Fast on-wafer electrical, mechanical, and electromechanical characterization of piezoresistive cantilever force sensors

Validation of a technological process requires an intensive characterization of the performance of the resulting devices, circuits or systems. The technology for the fabrication of Micro and Nanoelectromechanical systems is evolving rapidly, with new kind of device concepts for applications like sensing or harvesting are being proposed and demonstrated. However, the characterization tools and methods for these new devices are still nor fully developed. Here, we present an on-wafer, highly precise and rapid characterization method to measure the mechanical, electrical and electromechanical properties of piezoresistive cantilevers. The set-up is based on a combination of probe-card and atomic force microscopy (AFM) technology, it allows accessing many devices across a wafer and it can be applied to a broad range of MEMS and NEMS. Using this set-up we have characterized the performance of multiple submicron thick piezoresistive cantilever force sensors. For the best design we have obtained a force sensitivity RF=158 uV/nN, a noise of 5.8 uV (1Hz-1kHz) and a minimum detectable force (MDF) of 37 pN with a relative standard deviation of sigma=8%. This small value of sigma, together with a high fabrication yield >95%, validates our fabrication technology. The devices are intended to be used as bio-molecular detectors for the measurement of intermolecular forces between ligand and receptor molecule pairs.This work has been supported by MICINN through projects TEC2011-23600 and NANOSELECT-CSD2007- 00041 (Consolider-Ingenio 2010 Programme).Peer reviewe

New PIN1 inhibitors identified through a pharmacophore-driven, hierarchical consensus docking strategy

PIN1 is considered as a therapeutic target for a wide variety of tumours. However, most of known inhibitors are devoid of cellular activity despite their good enzyme inhibitory profile. Hence, the lack of effective compounds for the clinic makes the identification of novel PIN1 inhibitors a hot topic in the medicinal chemistry field. In this work, we reported a virtual screening study for the identification of new promising PIN1 inhibitors. A receptor-based procedure was applied to screen different chemical databases of commercial compounds. Based on the whole workflow, two compounds were selected and biologically evaluated. Both ligands, compounds VS1 and VS2, showed a good enzyme inhibitory activity and VS2 also demonstrated a promising antitumoral activity in ovarian cancer cells. These results confirmed the reliability of our in silico protocol and provided a structurally novel ligand as a valuable starting point for the development of new PIN1 inhibitors

Pan-Cancer Analysis of lncRNA Regulation Supports Their Targeting of Cancer Genes in Each Tumor Context

Long noncoding RNAs (lncRNAs) are commonly dys-regulated in tumors, but only a handful are known toplay pathophysiological roles in cancer. We inferredlncRNAs that dysregulate cancer pathways, onco-genes, and tumor suppressors (cancer genes) bymodeling their effects on the activity of transcriptionfactors, RNA-binding proteins, and microRNAs in5,185 TCGA tumors and 1,019 ENCODE assays.Our predictions included hundreds of candidateonco- and tumor-suppressor lncRNAs (cancerlncRNAs) whose somatic alterations account for thedysregulation of dozens of cancer genes and path-ways in each of 14 tumor contexts. To demonstrateproof of concept, we showed that perturbations tar-geting OIP5-AS1 (an inferred tumor suppressor) andTUG1 and WT1-AS (inferred onco-lncRNAs) dysre-gulated cancer genes and altered proliferation ofbreast and gynecologic cancer cells. Our analysis in-dicates that, although most lncRNAs are dysregu-lated in a tumor-specific manner, some, includingOIP5-AS1, TUG1, NEAT1, MEG3, and TSIX, synergis-tically dysregulate cancer pathways in multiple tumorcontexts

Pan-cancer Alterations of the MYC Oncogene and Its Proximal Network across the Cancer Genome Atlas

Although theMYConcogene has been implicated incancer, a systematic assessment of alterations ofMYC, related transcription factors, and co-regulatoryproteins, forming the proximal MYC network (PMN),across human cancers is lacking. Using computa-tional approaches, we define genomic and proteo-mic features associated with MYC and the PMNacross the 33 cancers of The Cancer Genome Atlas.Pan-cancer, 28% of all samples had at least one ofthe MYC paralogs amplified. In contrast, the MYCantagonists MGA and MNT were the most frequentlymutated or deleted members, proposing a roleas tumor suppressors.MYCalterations were mutu-ally exclusive withPIK3CA,PTEN,APC,orBRAFalterations, suggesting that MYC is a distinct onco-genic driver. Expression analysis revealed MYC-associated pathways in tumor subtypes, such asimmune response and growth factor signaling; chro-matin, translation, and DNA replication/repair wereconserved pan-cancer. This analysis reveals insightsinto MYC biology and is a reference for biomarkersand therapeutics for cancers with alterations ofMYC or the PMN

Genomic, Pathway Network, and Immunologic Features Distinguishing Squamous Carcinomas

This integrated, multiplatform PanCancer Atlas study co-mapped and identified distinguishing molecular features of squamous cell carcinomas (SCCs) from five sites associated with smokin

Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images

Beyond sample curation and basic pathologic characterization, the digitized H&E-stained images of TCGA samples remain underutilized. To highlight this resource, we present mappings of tumorinfiltrating lymphocytes (TILs) based on H&E images from 13 TCGA tumor types. These TIL maps are derived through computational staining using a convolutional neural network trained to classify patches of images. Affinity propagation revealed local spatial structure in TIL patterns and correlation with overall survival. TIL map structural patterns were grouped using standard histopathological parameters. These patterns are enriched in particular T cell subpopulations derived from molecular measures. TIL densities and spatial structure were differentially enriched among tumor types, immune subtypes, and tumor molecular subtypes, implying that spatial infiltrate state could reflect particular tumor cell aberration states. Obtaining spatial lymphocytic patterns linked to the rich genomic characterization of TCGA samples demonstrates one use for the TCGA image archives with insights into the tumor-immune microenvironment

Concert a benefici dels damnificats de Colòmbia

Programa del concert a benefici dels damnificats de Colòmbia que va tenir lloc el 27 de desembre de 1985 al Gran Teatre del Liceu. S'hi van interpretar fragments de "La forza del destino", "La traviata", "Un ballo in maschera", "Rigoletto" i "Don Carlo" de G. Verdi, "I Pagliacci" de R. Leoncavallo, "L'Elisir d'amore" i "Adelia" de G. Donizetti, "L'italiana in Algeri" i "Semiramide" de G. Rossini, "Don Giovanni" de W. A. Mozart, "Faust" de C. Gounod, "Andrea Chenier" d'U. Giordano, i àries de S. Cardillo. Hi van participar L. Nucci, E. Tarrés, E. Giménez, L. Valentini-Terrani, A. .Anelli, J. Pons, M. Caballé, J. Carreras i R. Bruson, i el Cor i l'Orquestra del Gran Teatre del Liceu dirigits per R. Paternostro i A. SicilianiOrquestra Simfònica i Cor del Gran Teatre del Liceu dirigits per Robert Paternostro i Alessandro Sicilian