Theoretical Study of a New Diarylic Ligand for M2+ Cations Detection

A novel diarylic ligand developed as chemosensor for the detection of M2+ was studied by density functional theory (DFT) and time-dependent DFT (TD-DFT). Geometries of the free-ligand and M2+-ligand complex were optimized at the CAM-B3LYP/631+G(d,p) level of theory in dimethyl sulfoxide using the conductor like polarizable continuum model. The adsorption spectra of these molecules were analyzed and compared with experimental data. The in Theoretical study of structural, electronics and optical properties for these compounds allowed to understand the chemical changes that occurred in the ligand in the complexation process with the M2+ ion.Fil: Ormachea, Carla. Universidad Nacional del Litoral. Instituto de Química Aplicada del Litoral. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Química Aplicada del Litoral.; ArgentinaFil: Ferretti, Cristián Alejandro. Universidad Nacional del Litoral. Instituto de Química Aplicada del Litoral. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Química Aplicada del Litoral.; ArgentinaFil: Noriega, Pablo. Universidad Nacional del Litoral. Instituto de Química Aplicada del Litoral. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Química Aplicada del Litoral.; ArgentinaFil: Marchi, Alberto Julio. Universidad Nacional del Litoral. Instituto de Química Aplicada del Litoral. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Química Aplicada del Litoral.; ArgentinaFil: Mancini, Pedro Maximo Emilio. Universidad Nacional del Litoral. Instituto de Química Aplicada del Litoral. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Química Aplicada del Litoral.; ArgentinaFil: Kneeteman, Maria Nelida. Universidad Nacional del Litoral. Instituto de Química Aplicada del Litoral. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Química Aplicada del Litoral.; Argentin

Between harmony and justice : an interview with Ivan Ormachea

CITATION: Botha, L. with Lumerman, P. (2015). Between harmony and justice : an interview with Ivan Ormachea. Reflections from Practice Series No. 12 (B. Ganson, ed.). The Hague: ACCESS Facility.Ivan Ormachea specializes in conflict prevention, conflict transformation dialogue and mediation. He works on social and environmental issues related to extractive industries, and on family, commercial, workplace and labor disputes. He is a mediator for the Office of Mediation and Facilitation Services of the World Bank and the Compliance Advisor Ombudsman of the IFC. He is the President of the Peruvian NGO ProDiálogo. He is a part-time professor of the Catholic University of Peru and has an MA in International Relations from Syracuse University, USA

Assessing Risk Among Correctional Community Probation Populations: Predicting Reoffense With Mobile Neurocognitive Assessment Software

We seek to address current limitations of forensic risk assessments by introducing the first mobile, self-scoring, risk assessment software that relies on neurocognitive testing to predict reoffense. This assessment, run entirely on a tablet, measures decision-making via a suite of neurocognitive tests in less than 30 minutes. The software measures several cognitive and decision-making traits of the user, including impulsivity, empathy, aggression, and several other traits linked to reoffending. Our analysis measured whether this assessment successfully predicted recidivism by testing probationers in a large urban city (Houston, TX, United States) from 2017 to 2019. To determine predictive validity, we used machine learning to yield cross-validated receiver–operator characteristics. Results gave a recidivism prediction value of 0.70, making it comparable to commonly used risk assessments. This novel approach diverges from traditional self-reporting, interview-based, and criminal-records-based approaches, and can also add a protective layer against bias, while strengthening model accuracy in predicting reoffense. In addition, subjectivity is eliminated and time-consuming administrative efforts are reduced. With continued data collection, this approach opens the possibility of identifying different levels of recidivism risk, by crime type, for any age, or gender, and seeks to steer individuals appropriately toward rehabilitative programs. Suggestions for future research directions are provided

Diagnostic accuracy of tablet-based software for the detection of concussion - Fig 4

<p><b>Performance on BrainCheck assessments by (A) gender and (B) socioeconomic status.</b> As explained in the text, assessments performed at different university test sites were used as a rough measure of the effect of socioeconomic status. Error bars represent standard error of the mean, computed by bootstrapping.</p

Test-retest reliability.

<p>In all panels, each datapoint represents an individual who took the same assessment on two different dates. Black lines represent linear fits to the data. r-values for the fits are shown in the legend of each panel.</p

Diagnostic accuracy of tablet-based software for the detection of concussion - Fig 4

<p><b>Performance on BrainCheck assessments by (A) gender and (B) socioeconomic status.</b> As explained in the text, assessments performed at different university test sites were used as a rough measure of the effect of socioeconomic status. Error bars represent standard error of the mean, computed by bootstrapping.</p

Performance of 30 mTBI patients compared to 30 orthopedic controls.

<p>Performance of 30 mTBI patients compared to 30 orthopedic controls.</p