Marketing Automation – en studie om ett modernt marknadsföringsverktyg i en svensk kontext

I takt med att digitala medier har utvecklats under de senaste åren har köpresan för-ändrats till att kunder idag i ett mycket senare skede släpper in leverantörer i dialogen. Marketing Automation adresserar den problembilden och har växt fram som en brygga mellan sälj- och marknadsprocessen. Systemet ger möjlighet att effektivt och automatiserat utveckla leads (potentiell kund). Syftet med denna studie är att undersöka hur Marketing Automation påverkar sälj- och marknadsprocesserna. Vilka förutsättningar krävs för en implementation? Ökar lönsamheten? Vi har därför valt att i det teoretiska ramverket beskriva Marketing Automation och bland annat undersöka om ett införande av Marketing Automation medför att sälj- och marknadsorganisationerna slås samman till en organisatorisk enhet. I studien har vi dessutom kartlagt och beskrivit den moderna köpresan och det som ibland kallas intäktsorganisationen. Vi har funnit att Marketing Automation är relativt outforskat i en svensk kontext. För att utröna om teorin, som i stor utsträckning bygger på internationell litteratur och internationella undersökningar, går att överföra till en svensk kontext har vi valt att genomföra en kvalitativ studie i form av en fallstudie av leverantörer av produkter och tjänster inom området samt företag, med den gemensamma nämnaren att de re-presenterar ett kunskapsintensivt erbjudande och har implementerat lösningar för Marketing Automation. I vår analys finns en samsyn mellan leverantörer och kunder i förutsättningar för ett införande, men vi kan även se hur resultaten divergerar och pekar på implikationer, inte minst avseende måluppfyllnad och samverkan mellan sälj- och marknadsorgani-sationerna. Vår slutsats visar bland annat att Marketing Automation kan leda till uppfyllnad av mjuka värden i företaget men har inte bevisats leda till ökad lönsamhet per automatik. Vi ser lönsamhet och Return on Investment (ROI) som ett område som bör utforskas vidare.

El capital intelectual y su relación con la innovación en la universidad CES

En la sociedad actual del conocimiento las universidades tienen la responsabilidad de generar conocimiento e innovaciones para ofrecer soluciones a problemas de comunidades de interés. Para lograrlo las universidades deben enfocarse en su activo más importante, su capital intelectual. Hasta ahora las investigaciones relacionadas con el capital intelectual y la innovación en las universidades, son limitadas a pesar de ser un elemento estratégico para la dirección de estas organizaciones, ya que estos aspectos le representan valor en el tiempo, por tanto esta investigación busca establecer cuál es la relación que existe entre el capital intelectual y la innovación en la Universidad CES. El objetivo de esta investigación era identificar el grado de relación entre capital intelectual e innovación en la Universidad CES. La metodología del estudio, es un estudio cuantitativo, de tipo descriptivo explicativo, con un diseño transversal, que permitió establecer el efecto del capital intelectual sobre la innovación de la Universidad CES. La población del fueron los directivos, líderes de los grupos de investigación y los coordinadores de investigación de la Universidad CES. Según los resultados obtenidos, este estudio determinó que el capital intelectual no tiene una relación estadísticamente significativa con la innovación personal de la Universidad CES y se determinó también que las tres dimensiones del capital intelectual tienen una relación estadísticamente significativa con los resultados de la innovación en la Universidad CES. El principal aporte de este estudio fue ofrecer evidencias sobre el capital intelectual como una de las principales fuentes de innovación para la Universidad.

Understanding significant precipitation in Madeira island using high-resolution numerical simulations of real cases

In order to advance the knowledge about precipitation development over Madeira island, four rainfall patterns are investigated based on high-resolution numerical simulations performed with the MESO-NH model. The main environmental conditions during these precipitation periods are examined, and important factors leading to significant accumulated precipitation in Madeira are shown. We found that the combination of orographic effect and atmospheric conditions is essential for the establishment of each situation. Under a moist and conditionally unstable atmosphere, convection over the island is triggered, and its location was determined mainly by variations of the ambient flow, which was also associated with different moist Froude numbers. Interestingly, our results showed some similarities with situations discussed in idealized studies. However, the real variations of the atmospheric configuration confirm the complexity of significant precipitation development in mountainous regions. In addition, precipitating systems initially formed over the ocean were simulated reaching the island. The four periods were characterised by different time durations, and the local terrain interacting with the mesoscale circulation was decisive in producing a large part of the precipitation, which concentrated in distinct regions of the island induced by the airflow dynamic.

Demandas formativas para la concepción de la superación del profesor-tutor de enfermería, en la universidad de las ciencias médicas cubana

Recibido 27 de julio de 2010 • Aceptado 31 de agosto de 2010 • Corregido 25 de noviembre de 2010  En el siglo XXI crece el interés por elevar la calidad de los sistemas educativos, lo que plantea la urgencia de profesionalizar el rol del docente, mientras se hace patente la necesidad de una superación apoyada en la autogestión del aprendizaje, por lo que se requiere que estas actividades constituyan modelos de la práctica pedagógica. Partiendo de los presupuestos que enfatizan el cambio hacia acciones de superación por consenso y no directivas, como generalmente se ha hecho, y desde el enfoque histórico cultural, es que se introduce un visón de la superación profesional del enfermero, el cual trasciende la trasmisión de conocimientos, hacia un desarrollo de sus necesidades educativas diagnosticadas.

Network analysis and machine learning assist drug repurposing and safety assessment in neurological diseases

In recent decades, two prominent trends have influenced the data modeling field, namely network analysis and machine learning. This thesis explores the practical applications of these techniques within the domain of drug research, unveiling their multifaceted potential for advancing our comprehension of complex biological systems. The research undertaken during this PhD program is situated at the intersection of network theory, computational methods, and drug research. Across six projects presented herein, there is a gradual increase in model complexity. These projects traverse a diverse range of topics, with a specific emphasis on drug repurposing and safety in the context of neurological diseases. The aim of these projects is to leverage existing biomedical knowledge to develop innovative approaches that bolster drug research. The investigations have produced practical solutions, not only providing insights into the intricacies of biological systems, but also allowing the creation of valuable tools for their analysis. In short, the achievements are: • A novel computational algorithm to identify adverse events specific to fixed-dose drug combinations. • A web application that tracks the clinical drug research response to SARS-CoV-2. • A Python package for differential gene expression analysis and the identification of key regulatory "switch genes". • The identification of pivotal events causing drug-induced impulse control disorders linked to specific medications. • An automated pipeline for discovering potential drug repurposing opportunities. • The creation of a comprehensive knowledge graph and development of a graph machine learning model for predictions. Collectively, these projects illustrate diverse applications of data science and network-based methodologies, highlighting the profound impact they can have in supporting drug research activities.

Corpo : a busca de si, esse estranho... no encontro com o outro

Universidade Estadual de Campinas. Faculdade de Educação Física

Amarrações e arrumações na inclusão escolar do município de Hortolândia - SP

Universidade Estadual de Campinas. Faculdade de Educação Física

Inteligência artificial aplicada à Zootecnia

Os sistemas biológicos são surpreendentemente flexíveis pra processar informação proveniente do mundo real. Alguns organismos biológicos possuem uma unidade central de processamento denominada de cérebro. O cérebro humano consiste de 10(11) neurônios e realiza processamento inteligente de forma exata e subjetiva. A Inteligência Artificial (IA) tenta trazer para o mundo da computação digital a heurística dos sistemas biológicos de várias maneiras, mas, ainda resta muito para que isso seja concretizado. No entanto, algumas técnicas como Redes neurais artificiais e lógica fuzzy tem mostrado efetivas para resolver problemas complexos usando a heurística dos sistemas biológicos. Recentemente o numero de aplicação dos métodos da IA em sistemas zootécnicos tem aumentado significativamente. O objetivo deste artigo é explicar os princípios básicos da resolução de problemas usando heurística e demonstrar como a IA pode ser aplicada para construir um sistema especialista para resolver problemas na área de zootecnia.

Validade científica de conhecimento epidemiológico gerado com base no estudo Saúde Bucal Brasil 2003

Problematiza-se a afirmação de que não são válidas as estimativas sobre as condições de saúde bucal da população brasileira geradas pelo SB Brasil 2003. Criticam-se os elementos que pretendem sustentar esse ponto de vista com base apenas em conceitos estatísticos, sem prova empírica. Identificam-se reduções decorrentes da abordagem epistemocêntrica que recusa peremptoriamente outras formas de conhecimento e não reconhece o caráter multidisciplinar da epidemiologia. Reconstituem-se informações sobre a realização do levantamento e seu impacto na produção de conhecimento. Faz-se uma analogia entre ciência e arte, argumentando-se que, nas imagens obtidas por ambas, os saberes gerados a partir do objeto cognoscível assumem feições variadas e, portanto, o reconhecimento de sua validade requer amplo domínio do objeto e operações com adequados critérios de valor. Conclui-se pela cientificidade, validade e relevância da produção acadêmica desenvolvida a partir da base de dados do levantamento SB Brasil 2003.

Impactos na saúde das deficiências de acesso a água

O acesso regular à água potável e segura tem causado preocupação, principalmente em países em desenvolvimento e, mais enfaticamente em áreas periurbanas, que abrigam a população socialmente excluída. O objetivo deste trabalho é abordar questões de acesso à água em regiões periurbanas e para tanto foi realizado levantamento bibliográfico nas bases de dados Pubmed, Medline e SciELO assim como relatórios da OMS, OPAS, IBGE e Ministério das Cidades. A falta ou a precariedade do acesso à água representa situação de risco que propicia aumento da incidência de doenças infecciosas agudas e da prevalência de doenças crônicas. O estabelecimento do grau de acesso à água de qualidade considera fatores como distância e tempo percorrido até a fonte de água, volume coletado, demanda atendida e nível de prioridade de ações de intervenção. Na qualidade da água, consideram-se como fatores de impacto o manuseio - maneira como ocorre a coleta, o transporte, o armazenamento e o uso -, a presença de patógenos nas fontes e as práticas rotineiras da população. A determinação da presença de patógenos nas fontes evidencia o risco à saúde e a identificação do agente etiológico indica a origem da contaminação. O caminho para reverter esse cenário é a implementação integrada de políticas públicas de gestão, que envolvam ações conjuntas e ajustadas nos setores de desenvolvimento urbano, habitação, saneamento e saúde e que visem à promoção e à proteção da saúde da população local e ao enfrentamento da complexidade de fatores que evidenciam sua vulnerabilidade.

An evaluation of the Keep on Talking program for maintaining communication skills into old

Communication skills change with age as a result of sensory deficits, memory loss, and increasing word finding difficulties The Keep on Talking program (L. Hickson, H. Barnett, L. Worrall, & E. Yiu, 1994) was developed to assist older people to develop their own strategies for maintaining communication skills into old age. Two hundred and fifty-two healthy older people were recruited from the community and were assessed on a battery of communication assessments on entry to the study and at 1 year after entry. The experimental group (n = 120) participated in the 5-week group Keep on Talking program run by volunteers A further 130 control subjects were assessed only. The short-term effectiveness of the program was evaluated using a short knowledge based and attitudinal questionnaire and qualitative written feedback. At the I-year follow up, subjects were also asked whether they had taken any action as a result of the project. Results concluded that there was a significant difference between the number of correct questionnaire responses on the knowledge based items and the ratings on the attitudinal items pre- and postprogram questionnaire for the experimental subjects. Qualitative written feedback was positive with many participants remarking on the amount of information that they had acquired. Forty-eight experimental and 69 control subjects (n = 117) were assessed I year later, and there was a significant difference between the groups in terms of the number of subjects who reported having taken action as a result of the program. The Keep on Talking program increased knowledge about communication, produced a positive change in attitude toward the importance of communication, and encouraged participants to take action to maintain their communication skills. Maintaining communication skills may prevent social isolation. This simple 5-hour group program has been effective in empowering participants to maintain. their communication skills as they age.

Protein fold recognition score functions: Unusual construction strategies

We describe two ways of optimizing score functions for protein sequence to structure threading. The first method adjusts parameters to improve sequence to structure alignment. The second adjusts parameters so as to improve a score function's ability to rank alignments calculated in the first score function. Unlike those functions known as knowledge-based force fields, the resulting parameter sets do not rely on Boltzmann statistics, have no claim to representing free energies and are purely constructions for recognizing protein folds. The methods give a small improvement, but suggest that functions can be profitably optimized for very specific aspects of protein fold recognition, Proteins 1999;36:454-461. (C) 1999 Wiley-Liss, Inc.

Protein sequence threading, the alignment problem, and a two-step strategy

Conventionally, protein structure prediction via threading relies on some nonoptimal method to align a protein sequence to each member of a library of known structures. We show how a score function (force field) can be modified so as to allow the direct application of a dynamic programming algorithm to the problem. This involves an approximation whose damage can be minimized by an optimization process during score function parameter determination. The method is compared to sequence to structure alignments using a more conventional pair-wise score function and the frozen approximation. The new method produces results comparable to the frozen approximation, but is faster and has fewer adjustable parameters. It is also free of memory of the template's original amino acid sequence, and does not suffer from a problem of nonconvergence, which can be shown to occur with the frozen approximation. Alignments generated by the simplified score function can then be ranked using a second score function with the approximations removed. (C) 1999 John Wiley & Sons, Inc.

Sausage: protein threading with flexible force fields

Sausage is a protein sequence threading program, but with remarkable run-time flexibility. Using different scripts, it can calculate protein sequence-structure alignments, search structure libraries, swap force fields, create models form alignments, convert file formats and analyse results. There are several different force fields which might be classed as knowledge-based, although they do not rely on Boltzmann statistics. Different force fields are used for alignment calculations and subsequent ranking of calculated models.

Conservation farming projects in the Philippine uplands: Rhetoric and reality

The phenomenon of agricultural land degradation in the Philippine uplands has been regarded by scientists and policy-makers as a major environmental and rural development problem. Numerous conservation farming projects have been implemented in the past two decades to address this problem, apparently with little success. Most of these projects have espoused the currently fashionable principles of community-based sustainable development. This paper examines case histories of three completed upland conservation projects. The aim is to compare the rhetoric of project documents and evaluations with the reality of on-going land management practices as seen from the perspective of the land managers themselves. (C) 2000 Elsevier Science Ltd. All rights reserved.