Predictors of Therapists Use of Homework in Community Mental Health: Session and Therapist Characteristics

Assigning and reviewing homework as a strategy to help clients gain therapeutic skills is a common technique used across a variety of evidence-based practices (EBPs) and has been shown to improve therapy outcomes for children and youth. However, in studies characterizing routine psychotherapy delivered in community mental health settings, homework is rarely used in sessions. While some therapist and client level predictors of EBP strategy use have been identified in routine psychotherapy (e.g. client stressors, therapists’ attitudes towards EBPs) it is unknown what is associated with community mental health therapists using homework in the increasingly common context of system-driven implementation of multiple EBPs. To identify predictors of therapists’ use of homework, 680 videos of sessions with 274 clients were collected from 103 therapists (of which 55% were Hispanic) providing children’s mental health services through the Los Angeles County Department of Mental Health (LACDMH). The current study uses a multilevel logistic regression analysis model to identify which factors are associated with therapist use of homework in therapy sessions when there is system-driven implementation support for the use of multiple EBPs in community mental health settings. After controlling for the EBP delivered in session and the number of EBPs therapists were trained in, having a caregiver present in the therapy session, older child age, and being an unlicensed therapist were associated with a higher likelihood of therapists assigning and reviewing homework during a specific session. Therapist race/ethnicity, perceptions of the EBP being delivered, their report of emotional exhaustion, and direct hours with clients, as well as emergent unexpected stressful client life events within a session were not significantly associated with therapists’ delivery of homework. These findings underscore the need to provide explicit attention during therapist training on the use of homework with younger clients when caregivers are absent from sessions and the need to facilitate the use of homework among licensed therapists

Diseño e implementación de un convertidor electromagnético de péndulo para el aprovechamiento de energía undimotriz

Este proyecto recoge los pasos establecidos para realizar el diseño y la realización de un captador de energía electromagnética capaz de generar energía a partir de movimientos de baja frecuencia presentes en el medio marino. Una placa de imanes gira alrededor de un eje vertical mediante rodamientos, del cual se han instalado una serie de bobinas en la parte inferior de la bobina, impulsada a partir de la inclinación producida por las oscilaciones de las olas. El proyecto recoge los conocimientos teóricos para entender este fenómeno y el proceso que se ha seguido para realizar el diseño de un captador y las experimentaciones que se han realizado para saber la optimización de dicho diseño. El primer paso a la hora de realizar el proyecto fue centrarse en el estudio del “A Hula-Hoop Energy Harvesting System” desarrollado por la “National Tsing Hua University” [1], entendiendo su funcionamiento y observando qué prioridades tuvieron en cuenta sus diseñadores, a la hora de desarrollarlo. Para observar el funcionamiento del captador, ver qué ventajas presenta y cómo se comportan los imanes en funcionamiento, dichos autores realizaron la fabricación del captador a partir de una impresora 3D y cortadora laser, para realizar un estudio experimental, donde se pueden observar a través de un osciloscopio las salidas de voltaje que se generan por efecto inductivo. Observando que prioridades se tuvieron a la hora de diseñar el anterior captador y realizando los cálculos pertinentes, se fabricó el captador propio del presente trabajo a partir de la misma técnica de impresión en 3D y cortadora laser. Del mismo modo, se realizó un primer estudio experimental donde se introdujo el prototipo en el interior de un tanque de agua y mediante una bomba programable se simuló el movimiento de una boya situada en la costa de Vilanova y la Geltrú en condiciones normales del mar, sobre la que se piensa podría ir colocado el captador para alimentar algún sensor inalámbrico situado en la misma boya. Durante esta primera parte de la experimentación se obtuvieron resultados directos de las secciones de las bobinas en el osciloscopio y se observó qué conexión entre bobinas presentaba la mayor eficacia. Una vez establecida la conexión entre bobinas, los contrapesos idóneos para favorecer el movimiento, y las corrientes más optimas para el captador y se observo que el captador presenta un buen movimiento para generar energía. Una vez realizado el prototipo se efectuó la primera parte de la experimentación colocando el captador al tanque de agua con condiciones semejantes de funcionamiento se producirían en el mar. Se pudieron observar los picos de generación de energía obtenidos mediante el osciloscopio. Seguidamente, se procedió a realizar la segunda parte experimental donde se realizo un tipo de puente rectificador por el cuerpo del captador, que generaba energía a partir de la inductancia. Este circuito alimentaba en forma de corriente continua un supercapacitador durante una hora. De este modo se pudo observar la energía producida por el sistema de captación durante este periodo de tiempo. Realizadas las experimentaciones para el captador se procedió a realizar un análisis de los resultados y observar de qué manera puede abastecer este captador, de diseño propio, a un sensor inalámbrico

Examining the Impact of Nitrous Acid Chemistry on Ozone and PM over the Pearl River Delta Region

The impact of nitrous acid (HONO) chemistry on regional ozone and particulate matter in Pearl River Delta region was investigated using the community multiscale air quality (CMAQ) modeling system and the CB05 mechanism. Model simulations were conducted for a ten-day period in October 2004. Compared with available observed data, the model performance for NOx, SO2, PM10, and sulfate is reasonably good; however, predictions of HONO are an order of magnitude lower than observed data. The CB05 mechanism contains several homogenous reactions related to HONO. To improve the model performance for HONO, direct emissions, two heterogeneous reactions, and two surface photolysis reactions were incorporated into the model. The inclusion of the additional formation pathways significantly improved simulated HONO compared with observed data. The addition of HONO sources enhances daily maximum 8-hour ozone by up to 6 ppbV (8%) and daily mean PM2.5 by up to 17 ug/m3 (12%). They also affected ozone control strategy in Pearl River Delta region

A Price Worth Paying: The Case for Controlling Marine Emissions in the Pearl River Delta

The Pearl River Delta (PRD) is a region with a single airshed, but different administrative and legal practices for controlling air quality. Under the Regional Cooperation Plan on Building a Quality Living Area (QLA Plan) released in June 2012 the Governments of Hong Kong, Guangdong and Macau have outlined a strategy to collaborate in reducing emissions from vessels throughout the PRD. This report provides evidence designed to assist policymakers in the region with this objective. It focuses on regulating toxic exhaust emissions from ocean-going vessels (OGVs) -- the most significant contributors of marine emissions. The findings show that marine sources of sulphur dioxide (SO2) emissions currently account for 519 premature deaths per annum in the PRD. These deaths could be reduced by 91% should an Emission Control Area (ECA) mandating the use of fuels with lower sulphur content be introduced. The report also demonstrates that three less comprehensive control measures would also reduce OGV emissions and associated public health impacts by 41-62%. Policymakers are encouraged to introduce these measures as stepping-stones on the way to establishment of an ECA for the PRD

Concert recording 2018-03-09a

[Track 1]. Sonata in E major, BWV 1035. I. Adagio ma non tanto [Track 2]. II. Allegro [Track 3]. III. Siciliano / J.S. Bach -- [Track 4]. Madrigal / Philippe Gaubert -- [Track 5]. Sonata no. 3 in G major. I. Adagio II. Allegro / G.F. Handel -- [Track 6]. Sonata for flute and piano. I. Allegro scherzando / Otar Taktakishvili -- [Track 7]. Sonata in A minor, WQ 132 for solo flute. I. Poco adagio / C.P.E. Bach -- [Track 8]. Duo no. 1, op. 80. I. Allegro con gusto / Friedrich Kahlau -- [Track 9]. Suite modale. I. Adagio / Ernest Bloch -- [Track 10]. Maya / Ian Clarke -- [Track 11]. Ballade, op. 288 / Carl Reinecke -- [Track 12]. Fantasie, op. 79 / Gabriel Fauré -- [Track 13]. Duettino for two flutes and piano, op. 36 / Francis Doppler

Low-Temperature Sulfidic-Ice Microbial Communities, Borup Fiord Pass, Canadian High Arctic

A sulfur-dominated supraglacial spring system found at Borup Fiord Pass (BFP), Ellesmere Island, Nunavut, Canada, is a unique sulfur-on-ice system expressed along the toe of a glacier. BFP has an intermittent flowing, subsurface-derived, glacial spring that creates a large white-yellow icing (aufeis) that extends down-valley. Over field campaigns in 2014, 2016, and 2017, numerous samples were collected and analyzed for both microbial community composition and aqueous geochemistry. Samples were collected from multiple site types: spring discharge fluid, aufeis (spring-derived ice), melt pools with sedimented cryoconite material, and mineral precipitate scrapings, to probe how microbial communities differed between site types in a dynamic freeze/thaw sulfur-rich system. Dissolved sulfate varied between 0.07 and 11.6 mM and was correlated with chloride concentrations, where the fluids were saltiest among spring fluids. The highest sulfate samples exhibited high dissolved sulfide values between 0.22 and 2.25 mM. 16S rRNA gene sequencing from melt pool and aufeis samples from the 2014 campaign were highly abundant in operational taxonomic units (OTUs) closely related to sulfur-oxidizing microorganisms (SOM; Sulfurimonas, Sulfurovum, and Sulfuricurvum). Subsequent sampling 2 weeks later had fewer SOMs and showed an increased abundance of the genus Flavobacterium. Desulfocapsa, an organism that specializes in the disproportionation of inorganic sulfur compounds was also found. Samples from 2016 and 2017 revealed that microorganisms present were highly similar in community composition to 2014 samples, primarily echoed by the continued presence of Flavobacterium sp. Results suggest that while there may be acute events where sulfur cycling organisms dominate, a basal community structure appears to dominate over time and site type. These results further enhance our knowledge of low-temperature sulfur systems on Earth, and help to guide the search for potential life on extraterrestrial worlds, such as Europa, where similar low-temperature sulfur-rich conditions may exist

Modelo ProLab: aplicación de tecnología educativa de enseñanza basada en inteligencia artificial: “Aprendo en un Click”

La presente investigación se enmarca en el contexto del programa de Maestría en Administración Estratégica de Empresas de la Pontificia Universidad Católica del Perú, donde se ha desarrollado un enfoque centrado en la creación de un modelo innovador de aplicación de tecnología educativa respaldado por inteligencia artificial, denominado "Aprendo en un Click". La motivación detrás de este proyecto surge como respuesta a la preocupante disminución de los niveles educativos en estudiantes mayores de 15 años, una problemática que se ha acentuado a raíz de la pandemia y que ha quedado patente en los resultados de la prueba PISA 2022. Para abordar este desafío, se exploraron también las disparidades educativas entre zonas urbanas y rurales en Perú, así como el impacto transformador de la pandemia en la educación convencional, subrayando el crecimiento significativo de la modalidad virtual. En el análisis detallado de la situación, se identificó una oportunidad estratégica en la industria educativa para proporcionar un sistema de aprendizaje personalizado a estudiantes de secundaria y preuniversitarios, con un enfoque específico en la preparación para exámenes de admisión universitaria. Este proyecto se erige como una respuesta innovadora y adaptable a las necesidades cambiantes del entorno educativo. Para respaldar la viabilidad y la efectividad del modelo propuesto, se llevó a cabo un exhaustivo análisis de mercado, que incluyó la identificación de competidores y la investigación del perfil de los usuarios potenciales. La metodología empleada incluyó un proceso de prototipado ágil, que facilitó el desarrollo iterativo del producto, así como la participación de padres de familia. Además, se llevó a cabo un análisis minucioso del modelo de negocio, evaluando su sostenibilidad y viabilidad a largo plazo. Ensayos específicos se llevaron a cabo para poner a prueba las hipótesis planteadas en el diseño del modelo, obteniendo los siguientes resultados. En la primera hipótesis se muestra que el 90% de los padres que utilizan la plataforma Aprendo en un click, pueden ayudar a sus hijos a mejorar su aprendizaje y sus habilidades blandas. En la segunda hipótesis el 100% de los jóvenes alumnos se adaptan de manera rápida al uso de las plataformas educativas virtuales. Finalmente, en la tercera hipótesis se evidenció que más del 85% de padres están dispuestos a pagar una suscripción en una plataforma educativa. En conclusión, esta investigación no solo se enfoca en la creación de un modelo educativo con inteligencia artificial, sino que abarca un análisis integral de la situación educativa actual en Perú, proponiendo una solución innovadora y prometedora para elevar los niveles educativos en un contexto post-pandémico, teniendo en consideración que los índices de relevancia social tanto para el ODS N°4 es de 40% y para el ODS N°8 es de33.3%, además, se está proyectando tener costos sociales de entre $2.1 a$4.5 millones de dólares y un beneficio social entre $2.6 a$5.3 millones de dólares, y un VAN social de $2.5 millones de dólares en los primeros 5 años del proyecto. En conclusión, el proyecto proyecta un VANF de$204,415.36 y un TIR de 20.59%The present research is framed within the context of the master’s program in strategic business administration at the Pontifical Catholic University of Peru. The focus of this work is on the development of an innovative model for the application of educational technology supported by artificial intelligence, known as "Aprendo en un Click." The motivation behind this project arises in response to the concerning decline in educational levels among students over the age of 15, a challenge that has been exacerbated by the pandemic and is evident in the results of the 2022 PISA test. To address this issue, the study also explores educational disparities between urban and rural areas in Peru, as well as the transformative impact of the pandemic on conventional education, emphasizing the significant growth of virtual modalities. Through a detailed analysis of the situation, an strategic opportunity was identified in the educational industry to provide a personalized learning system for high school and pre- university students, with a specific focus on university admission exam preparation. This project stands as an innovative and adaptable response to the changing needs of the educational environment. To support the viability and effectiveness of the proposed model, a thorough market analysis was conducted, including the identification of competitors and research on the profiles of potential users. The methodology employed included an agile prototyping process, facilitating iterative product development, and active participation of parents in forums designed to validate the proposal and gather valuable feedback. Furthermore, a detailed analysis of the business model was carried out, evaluating its sustainability and long-term viability. Specific experiments were conducted to test the hypotheses outlined in the model's design, obtaining the following results. The first hypothesis shows that 90% of parents who use the “Aprendo en un click” platform can help their children improve their learning and soft skills. In the second scenario, 100% of young students adapt quickly to the use of virtual educational platforms. Finally, in the third hypothesis it was evidenced that more than 85% of parents are willing to pay for a subscription on an educational platform. and the results reflected a positive disposition from users towards the platform, as well as clear investment potential. In conclusion, this research not only focuses on the creation of an AI-driven educational model but also encompasses a comprehensive analysis of the current educational situation in Peru, proposing an innovative and promising solution to elevate educational levels in a post- pandemic context, taking into consideration that the social relevance indices for both SDG No. 4 is 40% and SDG No. 8 is 33.3%, in addition, it is projected to have social costs of between $2.1 to$4.5 million dollars and a social benefit between $2.6 to$5.3 million dollars, and a social NPV of $2.5 million dollars in the first 5 years of the project. In conclusion, the project projects an NPV of$204,415.36 and an IRR of 20.59%

LoCuSS: A comparison of cluster mass measurements from XMM-Newton and subaru - Testing deviation from hydrostatic equilibrium and non-thermal pressure support

We compare X-ray hydrostatic and weak-lensing mass estimates for a sample of 12 clusters that have been observed with both XMM-Newton and Subaru. At an over-density of \u394 = 500, we obtain 1 - M X/M WL = 0.01 \ub1 0.07 for the whole sample. We also divided the sample into undisturbed and disturbed sub-samples based on quantitative X-ray morphologies using asymmetry and fluctuation parameters, obtaining 1 - M X/M WL = 0.09 \ub1 0.06 and -0.06 \ub1 0.12 for the undisturbed and disturbed clusters, respectively. In addition to non-thermal pressure support, there may be a competing effect associated with adiabatic compression and/or shock heating which leads to overestimate of X-ray hydrostatic masses for disturbed clusters, for example, in the famous merging cluster A1914. Despite the modest statistical significance of the mass discrepancy, on average, in the undisturbed clusters, we detect a clear trend of improving agreement between M X and M WL as a function of increasing over-density, M^X/M^WL=(0.908 \ub1 0.004)+(0.187 \ub1 0.010) cdot log_{10} (\u394 /500). We also examine the gas mass fractions, f gas = M gas/M WL, finding that they are an increasing function of cluster radius, with no dependence on dynamical state, in agreement with predictions from numerical simulations. Overall, our results demonstrate that XMM-Newton and Subaru are a powerful combination for calibrating systematic uncertainties in cluster mass measurements

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