White Racial Identity Attitudes as a Predictor of Cross-Cultural Working Alliances

Racial identity has been theorized to significantly influence cross-racial counseling relationships. In this study, the authors examined the influence of White racial identity on working alliance perceptions in a cross-racial vicarious counseling analogue. A significant interaction effect was found between race of the counselor vignette and White racial identity attitudes. Se ha teorizado que la identidad racial influye significativamente en las relaciones consejeras multirraciales. En esta investigación, los autores examinan la influencia de la identidad racial Blanca en las percepciones de alianza vigente en un equivalente vicario de la consejería multirracial. Se descubrió un efecto significante de interacción entre la raza del consejero y lás actitudes raciales blancas

Developing a business innovation perspective of electric vehicle uptake: lessons from Milton Keynes' electric vehicle programme

Electrification of transport forms a major part of British policy for energy and climate change. The formation of the early market for Electric Vehicles (EVs) has been supported through consumer subsidies, regulatory support, and programmes for the deployment of electric vehicle charging infrastructure, but uptake does not seem to be proceeding at the rate needed for meeting policy objectives. The approach pursued by policy actors is consistent with the approach of Strategic Niche Management (SNM), which would call for the creation of protected spaces to facilitate the development of new sociotechnical configurations. The Plugged-in Programme (PiP) in Milton Keynes is an example of creating a protective space. A comparison of PiP and other case studies in the literature of sociotechnical transitions identified a gap in SNM that may shed light on the limitations of EV policy in the UK. Traditionally, SNM has been used to monitor and manage interventions in support of prototype or pre-production vehicles. In consequence, there is no precedent for its application in support of early market technologies. The market introduction of innovative technologies can trigger interrelated technological and behavioural changes, affecting the preferences of producers and consumers while altering the demand structure of the sector. However, SNM does not account for the patterns of use and demand implied in what remain largely technological templates for the future. This thesis begins to develop a framework for the analysis and management of early market strategic niches. Insights from a second discipline, that of social marketing, were sought to complement the analytical tools of SNM. Social marketing is useful for understanding the effect of behavioural and market factors on the adoption of innovative technologies. Social marketing provides a framework for analysing and influencing behaviour in socially beneficial directions. Behaviour and choice are modulated through the application of a marketing orientation, identifying and addressing needs and creating valuable offerings. This research is centred on organizational users of electric vehicles (EVs), and explores the effectiveness of the policy portfolio for addressing the needs of early adopters and for building an early market for EVs. Thematic analysis, a form of qualitative content analysis, is applied to evidence from documentary sources, participant observation and interviews with key organizational actors in the community of pioneering and prospective EV users. The analysis draws on concepts from SNM and social marketing to explore previously neglected forces affecting the early market for EVs, with particular focus on the increasing importance of market selection and the competition presented by an entrenched but socially undesirable incumbent. Contrary to the expectations of policy actors, financial incentives and infrastructure deployment have a limited impact on the choices made by organizational actors. This thesis shows that the processes of learning and embedding that take place within the niche need to be multidimensional. Before a choice can be made, pioneering and prospective adopters of EVs invest considerable effort in the collaborative construction of new patterns of use and demand. This process can be supported by empowering interventions that identify suitable applications (creating multiple sub-niches within the niche) and facilitate the co-construction of new, competitive configurations around them. The models and networks created through this multidimensional, collaborative process translate into capabilities that give distinct advantages to pioneering adopters, allowing them to expand beyond their original niche and outperform the incumbents in mainstream markets

Using a Time-based Subarray Method to Extract and Invert Noise-derived Body Waves at Long Beach, California

The reconstruction of body waves from the cross‐correlation of random wavefields has recently emerged as a promising approach to probe the fine‐scale structure of the Earth. However, because of the nature of the ambient noise field, the retrieval of body waves from seismic noise recordings is highly challenging and has only been successful in a few cases. Here, we use seismic noise data from a 5,200‐node oil‐company survey to reconstruct body waves and determine the velocity structure beneath Long Beach, California. To isolate the body wave energy from the ambient noise field, we divide the entire survey into small‐aperture subarrays and apply a modified double‐beamforming scheme to enhance coherent arrivals within the cross‐correlated waveforms. The resulting beamed traces allow us to identify clear refracted P waves traveling between different subarray pairs, which we then use to construct a high‐resolution 3D velocity model of the region. The inverted velocity model reveals velocity variations of the order of 3% and strong lateral discontinuities caused by the presence of sharp geologic structures such as the Newport‐Inglewood fault (NIF). Additionally, we show that the resolution that is achieved through the use of high‐frequency body waves allows us to illuminate small geometric variations of the NIF that were previously unresolved with traditional passive imaging methods

Using a Time-based Subarray Method to Extract and Invert Noise-derived Body Waves at Long Beach, California

The reconstruction of body waves from the cross‐correlation of random wavefields has recently emerged as a promising approach to probe the fine‐scale structure of the Earth. However, because of the nature of the ambient noise field, the retrieval of body waves from seismic noise recordings is highly challenging and has only been successful in a few cases. Here, we use seismic noise data from a 5,200‐node oil‐company survey to reconstruct body waves and determine the velocity structure beneath Long Beach, California. To isolate the body wave energy from the ambient noise field, we divide the entire survey into small‐aperture subarrays and apply a modified double‐beamforming scheme to enhance coherent arrivals within the cross‐correlated waveforms. The resulting beamed traces allow us to identify clear refracted P waves traveling between different subarray pairs, which we then use to construct a high‐resolution 3D velocity model of the region. The inverted velocity model reveals velocity variations of the order of 3% and strong lateral discontinuities caused by the presence of sharp geologic structures such as the Newport‐Inglewood fault (NIF). Additionally, we show that the resolution that is achieved through the use of high‐frequency body waves allows us to illuminate small geometric variations of the NIF that were previously unresolved with traditional passive imaging methods

Relación entre la hipercolesterolemia y la trombosis venosa, en pacientes atendidos en un hospital público, Piura 2020

La investigación tuvo como objetivo general, determinar la relación entre la hipercolesterolemia y la trombosis venosa, en pacientes atendidos en un hospital público, Piura 2020. El presente estudio fue de enfoque cuantitativo y diseño no experimental. La población en estudio estuvo constituida por todos los pacientes que cumplieron con los criterios de inclusión y exclusión durante el periodo de 08 meses de estudio. La muestra fue de 80 pacientes. Se uso la técnica de la observación y como instrumento las historias clínicas y la ficha de registro de datos. Los resultados y conclusiones fueron. Se encontró una relación entre la hipercolesterolemia y la trombosis venosa, debido a que el colesterol alto, colesterol LDL, colesterol HDL y triglicéridos tuvieron valores en un 77.6%, 51%, 55.1% y 53.1% respectivamente. Los valores de colesterol total, HDL y LDL fueron de nivel alto en 77.6% entre 251.34 mg a 278.21 mg; el nivel limite alto fue en 18.4% entre 202.22 mg a 221.31 mg. Sobre el colesterol LDL, fueron de nivel alto en 51% con valores entre 180.56 mg a 203.14 mg y el nivel limite alto, entre 130.23 mg a 153.84 mg. Sobre el HDL, los valores mayoritarios fueron el nivel alto con 55.1% con valores de 61.56 mg a 58.30 mg, y el nivel limite alto con 26.5% con valores de 21.02 mg a 31.90 mg. Las características según edad y sexo de los pacientes con trombosis y LDL elevado fueron, que el sexo masculino de edad entre 41 a 60 años tuvieron mayores niveles de LDL con 20.4% en nivel alto y limite alto con 8.2%, en las mujeres en la misma edad el nivel alto fue de 16.4% y el límite alto fue de 6.1%; en general el 36.7% de varones tuvieron LDL alto y las mujeres en 26.6%. Finalmente, se concluyó que el colesterol total se relaciona con la trombosis venosa con un valor de significancia de Chi cuadrado de p=0.000Tesi

La autoestima y la competencia oral del idioma inglés en estudiantes de secundaria de una institución educativa privada- Chiclayo

La presente investigación tuvo por finalidad determinar el nivel de relación que existe entre la autoestima y la competencia oral del idioma inglés en estudiantes del tercer nivel de secundaria de la Institución Educativa privada Algarrobos. Tomando como referencia los fundamentos de la teoría de Gardner, Chomsky, teoría de Harmer, teoría de Maslow, el enfoque de Goleman, Hymes, Coopersmith y Rogers. Esta investigación es un estudio de tipo descriptivo correlacional porque describe vinculaciones entre las variables (autoestima y la competencia oral del idioma inglés), con un diseño no experimental transaccional correlacional en sus dimensiones de la autoestima como son, dimensión personal, social y afectiva; dimensiones de la competencia oral del idioma inglés tales como: Información de textos orales, dimensiones de infiere e interpretación, adecúa y organiza, recursos no verbales y paraverbales, interactúa, reflexiona y evalúa. La muestra estuvo integrada por 150 estudiantes del tercer nivel (segundo a quinto de secundaria) de la Institución Educativa privada Algarrobos. La técnica que se utilizó en la investigación fue la encuesta y el instrumento el cuestionario para ambas variables. Se comprobó la hipótesis planteada; la autoestima se relaciona significativamente con la competencia oral del idioma inglés en estudiantes del tercer nivel de secundaria de la Institución Educativa privada Algarrobos con un coeficiente de relación de Pearson r = 0.8223. Lo que nos indica que existe una correlación alta entre las variables autoestima y competencia oral del idioma inglés

Humans, robots and artificial intelligences reconfiguring urban life in a crisis

Autonomous urban robots were introduced in Milton Keynes (MK), UK, in 2018 to automate on-demand grocery delivery. Two years later the COVID-19 pandemic rendered routine activities such as delivering groceries or visiting the supermarket unexpectedly unsafe for humans. The ensuing disruption provided opportunities to investigate the potentialities of robotic and autonomous systems to provide cities with resources for coping with unexpected situations such as pandemics, heatwaves and blizzards and ultimately to transform and reinforce urban flows, leading to new ways of living in the city that arise as a result of emerging human-robot constellations. The crisis accelerated the ongoing transformation in human-robot relationships and made its tensions and potentials visible. The case of MK suggests that the cognitive capabilities of urban AIs are not to be found exclusively in computer bits and human neurons but arise from encounters and contexts, with institutions, policies, practices and even the materiality of the city itself being crucial to the emergence of urban AI

Demand Responsive Transport: is Milton Keynes developing a post-Covid revolution in public transport?

Recently there has been a renewed interest in Demand Responsive Transport (DRT) and related service offerings as a system that can serve 21st century patterns of dispersed low-density travel. Numerous attempts have been made to introduce forms of DRT, but despite some limited applications, DRT has largely stalled amidst technological, regulatory, and economic barriers. Significantly, the impetus for DRT is now from technology-led companies that have already impacted upon taxi operations and have ambitions to develop their products and markets taking them into mainstream public transport, and some more innovative UK authorities are developing partnerships with these new digital technology operators. This has been accelerated by the pandemic creating uncertainty about how public transport use will change, coupled with local authorities seeking economic and social recovery amidst financial pressures on public transport support. This paper reports some results from an in-depth case study of one city’s radical shift towards replacing conventional bus routes with DRT. This is the partnership between the commercial DRT operator, Via, and Milton Keynes Council. In autumn 2020 an area served by one Council supported bus route was converted to DRT and from April 2021 eleven other supported routes in Milton Keynes were replaced with DRT, run by Via and largely operated using electric vehicles. With a growing fleet of 26 vehicles covering the whole of Milton Keynes Borough, this represents the most widespread urban DRT application in the UK. This paper draws on documentary evidence, operational data and in-depth interviews with key stakeholders, focussing on the operational, business and policy aspects of the system and how it may develop. Key public policy issues are identified in the cost-effective use of DRT, user adaptations and understandings needed, the partners and expertise required, and practices and relationships needed between actors for DRT to have a socially transformative effect on how public transport is provided and is used

Dimensions of Religiousness and Cancer Screening Behaviors among Church-Going Latinas

Churches are a promising setting through which to reach Latinas with cancer control efforts. A better understanding of the dimensions of religiousness that impact health behaviors could inform efforts to tailor cancer control programs for this setting. The purpose of this study was to explore relationships between dimensions of religiousness with adherence to cancer screening recommendations among church-going Latinas. Female Spanish-speaking members, aged 18 and older from a Baptist church in Boston, Massachusetts (N = 78), were interviewed about cancer screening behaviors and dimensions of religiousness. We examined adherence to individual cancer screening tests (mammography, Pap test, and colonoscopy), as well as adherence to all screening tests for which participants were age-eligible. Dimensions of religiousness assessed included church participation, religious support, active and passive spiritual health locus of control, and positive and negative religious coping. Results showed that roughly half (46 %) of the sample had not received all of the cancer screening tests for which they were age-eligible. In multivariate analyses, positive religious coping was significantly associated with adherence to all age-appropriate screening (OR = 5.30, p \u3c .01). Additional research is warranted to replicate these results in larger, more representative samples and to examine the extent to which enhancement of religious coping could increase the impact of cancer control interventions for Latinas

Plan estrat?gico para la Cooperativa Agraria de Servicios Multiples El Milagro periodo 2019 - 2022

La planeaci?n estrat?gica orienta la gesti?n de las empresas para que, a trav?s de indicadores y metas medibles en el tiempo acorde a su presupuesto, alcancen los objetivos estrat?gicos planteados para mejorar su posici?n en el mercado. Para lo cual, es imprescindible el diagn?stico de la empresa respecto a sus recursos y capacidades, el entorno externo e interno que impacta en su ?xito y posici?n frente a sus competidores. Tambi?n, conocer el negocio, las ventajas y deficiencias de la empresa frente a competidores del mismo sector que vienen obteniendo rendimientos econ?micos muy positivos. En el Per?, el caf? se destaca aun con precios inestables, como el principal producto agroexportador, esto es por su calidad. Nuestros climas ofrecen en diferentes regiones del pa?s, un caf? de calidad, que, junto a la certificaci?n org?nica y comercio justo, los m?s exigidos por el cliente, el producto se negocia con un mejor precio fuera de los alcances del precio de la bolsa internacional. La Cooperativa Agraria de servicios M?ltiples El Milagro, posee ventajas comparativas y competitivas para comercializar el caf? certificado de sus socios; y si no se determina y planifica el ?mbito de acci?n de sus objetivos estrat?gicos, no se garantiza su sostenimiento