The Importance of Internal and External Communication in Increasing Knowledge and Loyalty of Employees in Qi Malaysia

Many organizations in Malaysia today face difficulties in retaining employees since they are unable to identify the factors that contribute to both the increase of employee knowledge on the company and loyalty towards the company. This study goes on to identify how with internal and external communications, and organisation can increase its employee’s knowledge on the company in a positive way and these better-informed employees are then more inclined to be loyal to the company. In QI Malaysia, there is at least one resignation a month and employees hardly know much about the organisation. The aim is to identify if the internal and external communications carried out did in fact help increase employee knowledge about the company and boost their loyalty in a quantitative method. The employees selected for this research received a survey form to fill independently. They were encouraged to complete the questionnaire during their break time or after work. From the response of the survey, we can understand and conclude that employees of QI Malaysia favour timely, frequent and more personal communication through internal communications and external communications methods. They are happy to know that through the internal communications that they are remembered by the company top level management and that their company is portrayed as an employer of choice, leading to individuals they know wanting to work in QI Malaysia. As recommendation, it is suggested that more content about the company is sent out through both internal and external communication of choice, in this case, mass mails being internal communication channel and Facebook as the external communication channel as most employees are engaged here. With more related contents through these two platforms, it will encourage engagement that will increase employee knowledge and loyalty towards the company. (Abstract by author

Proposed cavity Josephson plasmonics with complex-oxide heterostructures

We discuss how complex-oxide heterostructures that include high-Tc superconducting cuprates can be used to realize an array of sub-millimeter cavities that support Josephson plasmon polaritons. These cavities have several attractive features for new types of light matter interaction studies and we show that they promote "ultrastrong" coupling between THz frequency radiation and Josephson plasmons. Cavity electrodynamics of Josephson plasmons allows to manipulate the superconducting order-parameter phase coherence. As an example, we discuss how it could be used to cool superconducting phase fluctuations with light

A thalamocortical mechanism for the absence of overt motor behavior in covertly aware patients:Thalamocortical Mechanism for the Absence of Overt Motor Behavior

Importance It is well accepted that a significant number of patients in a vegetative state are covertly aware and capable of following commands by modulating their neural responses in motor imagery tasks despite remaining nonresponsive behaviorally. To date, there have been few attempts to explain this dissociation between preserved covert motor behavior and absent overt motor behavior. Objectives To investigate the differential neural substrates of overt and covert motor behavior and assess the structural integrity of the underlying networks in behaviorally nonresponsive patients. Design, Setting, and Participants A case-control study was conducted at an academic center between February 7, 2012, and November 6, 2014. Data analysis was performed between March 2014 and June 2015. Participants included a convenience sample of 2 patients with severe brain injury: a paradigmatic patient who fulfilled all clinical criteria for the vegetative state but produced repeated evidence of covert awareness (patient 1) and, as a control case, a patient with similar clinical variables but capable of behavioral command following (patient 2). Fifteen volunteers participated in the study as a healthy control group. Main Outcomes and Measures We used dynamic causal modeling of functional magnetic resonance imaging to compare voluntary motor imagery and motor execution. We then used fiber tractography to assess the structural integrity of the fibers that our functional magnetic resonance imaging study revealed as essential for successful motor execution. Results The functional magnetic resonance imaging study revealed that, in contrast to mental imagery, motor execution was associated with an excitatory coupling between the thalamus and primary motor cortex (Bayesian model selection; winning model Bayes factors >17). Moreover, we detected a selective structural disruption in the fibers connecting these 2 regions in patient 1 (fractional anisotropy, 0.294; P = .047) but not in patient 2 (fractional anisotropy, 0.413; P = .35). Conclusions and Relevance These results suggest a possible biomarker for the absence of intentional movement in covertly aware patients (ie, specific damage to motor thalamocortical fibers), highlight the importance of the thalamus for the execution of intentional movements, and may provide a target for restorative therapies in behaviorally nonresponsive patients

The Epstein-Barr Virus Episome Maneuvers between Nuclear Chromatin Compartments during Reactivation.

The human genome is structurally organized in three-dimensional space to facilitate functional partitioning of transcription. We learned that the latent episome of the human Epstein-Barr virus (EBV) preferentially associates with gene-poor chromosomes and avoids gene-rich chromosomes. Kaposi's sarcoma-associated herpesvirus behaves similarly, but human papillomavirus does not. Contacts on the EBV side localize to OriP, the latent origin of replication. This genetic element and the EBNA1 protein that binds there are sufficient to reconstitute chromosome association preferences of the entire episome. Contacts on the human side localize to gene-poor and AT-rich regions of chromatin distant from transcription start sites. Upon reactivation from latency, however, the episome moves away from repressive heterochromatin and toward active euchromatin. Our work adds three-dimensional relocalization to the molecular events that occur during reactivation. Involvement of myriad interchromosomal associations also suggests a role for this type of long-range association in gene regulation.IMPORTANCE The human genome is structurally organized in three-dimensional space, and this structure functionally affects transcriptional activity. We set out to investigate whether a double-stranded DNA virus, Epstein-Barr virus (EBV), uses mechanisms similar to those of the human genome to regulate transcription. We found that the EBV genome associates with repressive compartments of the nucleus during latency and with active compartments during reactivation. This study advances our knowledge of the EBV life cycle, adding three-dimensional relocalization as a novel component to the molecular events that occur during reactivation. Furthermore, the data add to our understanding of nuclear compartments, showing that disperse interchromosomal interactions may be important for regulating transcription

Improving Nurse Handoff Communication with an End of Shift Summary SmartPhrase

https://digitalcommons.psjhealth.org/summit_all/1059/thumbnail.jp

A metaheuristic and simheuristic approach for the p-Hub median problem from a telecommunication perspective

Tese (doutorado)—Universidade de Brasília, Faculdade de Tecnologia, Departamento de Engenharia Elétrica, 2018.Avanços recentes no setor das telecomunicações oferecem grandes oportunidades para cidadãos e organizações em um mundo globalmente conectado, ao mesmo tempo em que surge um vasto número de desafios complexos que os engenheiros devem enfrentar. Alguns desses desafios podem ser modelados como problemas de otimização. Alguns exemplos incluem o problema de alocação de recursos em redes de comunicações, desenho de topologias de rede que satisfaça determinadas propriedades associadas a requisitos de qualidade de serviço, sobreposição de redes multicast e outros recursos importantes para comunicação de origem a destino. O primeiro objetivo desta tese é fornecer uma revisão sobre como as metaheurísticas têm sido usadas até agora para lidar com os problemas de otimização associados aos sistemas de telecomunicações, detectando as principais tendências e desafios. Particularmente, a análise enfoca os problemas de desenho, roteamento e alocação de recursos. Além disso, devido á natureza desses desafios, o presente trabalho discute como a hibridização de metaheurísticas com metodologias como simulação pode ser empregada para ampliar as capacidades das metaheurísticas na resolução de problemas de otimização estocásticos na indústria de telecomunicações. Logo, é analisado um problema de otimização com aplicações práticas para redes de telecomunica ções: o problema das p medianas não capacitado em que um número fixo de hubs tem capacidade ilimitada, cada nó não-hub é alocado para um único hub e o número de hubs é conhecido de antemão, sendo analisado em cenários determinísticos e estocásticos. Dada a sua variedade e importância prática, o problema das p medianas vem sendo aplicado e estudado em vários contextos. Seguidamente, propõem-se dois algoritmos imune-inspirados e uma metaheurística de dois estágios, que se baseia na combinação de técnicas tendenciosas e aleatórias com uma estrutura de busca local iterada, além de sua integração com a técnica de simulação de Monte Carlo para resolver o problema das p medianas. Para demonstrar a eficiência dos algoritmos, uma série de testes computacionais é realizada, utilizando instâncias de grande porte da literatura. Estes resultados contribuem para uma compreensão mais profunda da eficácia das metaheurísticas empregadas para resolver o problema das p medianas em redes pequenas e grandes. Por último, uma aplicaçã o ilustrativa do problema das p medianas é apresentada, bem como alguns insights sobre novas possibilidades para ele, estendendo a metodologia proposta para ambientes da vida real.Recent advances in the telecommunication industry o er great opportunities to citizens and organizations in a globally-connected world, but they also arise a vast number of complex challenges that decision makers must face. Some of these challenges can be modeled as optimization problems. Examples include the framework of network utility maximization for resource allocation in communication networks, nding a network topology that satis es certain properties associated with quality of service requirements, overlay multicast networks, and other important features for source to destination communication. First, this thesis provides a review on how metaheuristics have been used so far to deal with optimization problems associated with telecommunication systems, detecting the main trends and challenges. Particularly the analysis focuses on the network design, routing, and allocation problems. In addition, due to the nature of these challenges, this work discusses how the hybridization of metaheuristics with methodologies such as simulation can be employed to extend the capabilities of metaheuristics when solving stochastic optimization problems. Then, a popular optimization problem with practical applications to the design of telecommunication networks: the Uncapacitated Single Allocation p-Hub Median Problem (USApHMP) where a xed number of hubs have unlimited capacity, each non-hub node is allocated to a single hub and the number of hubs is known in advance is analyzed in deterministic and stochastic scenarios. p-hub median problems are concerned with optimality of telecommunication and transshipment networks, and seek to minimize the cost of transportation or establishing. Next, two immune inspired metaheuristics are proposed to solve the USApHMP, besides that, a two-stage metaheuristic which relies on the combination of biased-randomized techniques with an iterated local search framework and its integration with simulation Monte Carlo technique for solving the same problem is proposed. In order to show their e ciency, a series of computational tests are carried out using small and large size instances from the literature. These results contribute to a deeper understanding of the e ectiveness of the employed metaheuristics for solving the USApHMP in small and large networks. Finally, an illustrative application of the USApHMP is presented as well as some insights about some new possibilities for it, extending the proposed methodology to real-life environments.Els últims avenços en la industria de les telecomunicacions ofereixen grans oportunitats per ciutadans i organitzacions en un món globalment connectat, però a la vegada, presenten reptes als que s'enfronten tècnics i enginyers que prenen decisions. Alguns d'aquests reptes es poden modelitzar com problemes d'optimització. Exemples inclouen l'assignació de recursos a les xarxes de comunicació, trobant una topologia de xarxa que satisfà certes propietats associades a requisits de qualitat de servei, xarxes multicast superposades i altres funcions importants per a la comunicació origen a destinació. El primer objectiu d'aquest treball és proporcionar un revisió de la literatura sobre com s'han utilitzat aquestes tècniques, tradicionalment, per tractar els problemes d'optimització associats a sistemes de telecomunicació, detectant les principals tendències i desa aments. Particularment, l'estudi es centra en els problemes de disseny de xarxes, enrutament i problemes d'assignació de recursos. Degut a la naturalesa d'aquests problemes, aquest treball també analitza com es poden combinar les tècniques metaheurístiques amb metodologies de simulació per ampliar les capacitats de resoldre problemes d'optimització estocàstics. A més, es tracta un popular problema d'optimització amb aplicacions pràctiques per xarxes de telecomunicació, el problema de la p mediana no capacitat, analitzant-lo des d'escenaris deterministes i estocàstics. Aquest problema consisteix en determinar el nombre d'instal lacions (medianes) en una xarxa, minimitzant la suma de tots els costs o distàncies des d'un punt de demanda a la instal lació més propera. En general, el problema de la p mediana està lligat amb l'optimització de xarxes de telecomunicacions i de transport, i busquen minimitzar el cost de transport o establiment de la xarxa. Es proposa dos algoritmes immunològics i un algoritme metaheurístic de dues etapes basat en la combinació de tècniques aleatòries amb simulacions Monte Carlo. L'e ciència de les algoritmes es posa a prova mitjançant alguns dels test computacionals més utilitzats a la literatura, obtenint uns resultats molt satisfactoris, ja que es capaç de resoldre casos petits i grans en qüestió de segons i amb un baix cost computacional. Finalment, es presenta una aplicació il lustrativa del problema de la p mediana, així com algunes noves idees sobre aquest, que estenen la metodologia proposta a problemes de la vida real

Infografía y aprendizaje en alumnos del quinto grado de la Institución Educativa Siglo XXI, San Juan de Miraflores Lima, 2020

Esta investigación tiene como objetivo determinar la relación entre la Infografía y aprendizaje en alumnos del Quinto grado de la Institución Educativa Siglo XXI, San Juan de Miraflores Lima, 2020. En esta investigación el abordaje metodológico utilizado es el enfoque cuantitativo y se ajusta a un diseño no experimental de corte transversal y cuyo alcance es de nivel correlacional. El estudio se realizó con una La población de 50 alumnos, se empleó un muestreo por conveniencia. Se aplicó una encuesta que constaba de 20 items para medir la variable infografía y 20 items para medir la variable aprendizaje. Para contrastar la hipótesis planteada, se utilizó la prueba no paramétrica de correlación Rho de Spearman. Teniendo como resultados a nivel descriptivo mediante tablas de contingencia que un 90,0 % de los estudiantes han manifestado un nivel alto en el uso de las infografías para mejorar el aprendizaje, siendo que un 10% de los alumnos se encuentra en el nivel medio, en cuanto a los resultados inferenciales se obtuvo un p valor igual a 0,000, menor 0,05 por lo que se determinó la existencia de una relación entre las variables infografía y aprendizaje, con un coeficiente de correlación de Spearman de 0,953; se estableció un relación positiva y directa

An immune-inspired, dependence-based approach to blind inversion of wiener systems

Dissertação (mestrado)—Universidade de Brasília, Faculdade de Tecnologia, Departamento de Engenharia Elérica, 2016.Nas últimas décadas, o estudo de métodos para a inversão cega de sistemas de Wiener tem recebido uma atenção signi cativa, especialmente em áreas como a biologia, química, sociologia e na indústria. Um grande número de métodos tem sido desenvolvidos com diferentes abordagens e análises teóricas do problema, que incluem algoritmos de gradiente para minimizar a taxa de informação mútua do sinal extraído, algoritmos genéticos para executar a tarefa de procurar os parâmetros ótimos assim como algoritmos imuno-inspirados. Estes métodos têm como requisito fundamental que o sinal de entrada seja originalmente i.i.d., além de algumas outras condições de suavidade. Cenários de aplicação que cumprem com este requisito podem ser difíceis de ocorrer, na prática; por isso, considerar fontes não-independentes tem se tornado uma importante abordagem. Neste trabalho, propõem-se dois métodos baseados nas funções de autocorrelação e autocorrentropia para explorar a estrutura do tempo de um determinado sinal, com a nalidade de promover a inversão cega dos sistemas de Wiener usando sistemas Hammerstein. Filtros lineares com e sem realimentação são considerados e um algoritmo imuno-inspirado é usado para permitir a otimização de parâmetros sem a necessidade de manipular analiticamente a função custo, ao mesmo tempo que se aumenta a probabilidade de convergência global. Os resultados experimentais indicam que ambas as funções proporcionam meios e cazes para a inversão do sistema e também ilustram o efeito de realimentação linear sobre o desempenho global do sistema.In the last decades, the study of blind inversion of Wiener systems has received signi cant attention, in a special manner in areas such as biology, chemistry, sociology, psychology and industry. A large number of methods have been developed with di erent approaches and theoretical analysis of the problem, which include a gradient algorithm to minimize the mutual information rate of the extracted signal, genetic algorithms to perform the task of searching for the optimal parameters as well as immune-inspired algorithms. These methods have the particular requirement that the input signal must be i.i.d. and, besides some smoothness conditions. This requirement may be hard to be present in real-world problems, hence, considering non-independent sources have become an interesting approach. In this work, we propose two methods based on the autocorrelation and autocorrentropy functions for representing the time structure of a given signal, in order to cope with the unsupervised inversion of Wiener systems by Hammerstein systems. Linear lters with and without feedback are considered and an immune-inspired algorithm is used to allow parameter optimization without the need for explicitly manipulating the cost function, with the additional bene t of increasing the probability of global convergence. The experimental results indicate that both functions provide e ective means for system inversion and also illustrate the e ect of linear feedback on the overall system performance

La delación en los procesos de compras públicas del Estado y sus efectos en la libre competencia

La presente Monografía Jurídica se sitúa en medio de dos regímenes jurídicos que interactúan y se complementan: la contratación estatal y la libre competencia. Se analiza el fenómeno de la colusión en las compras del Estado y, para combatirla, se estudia una herramienta propia del derecho de la competencia: la Delación. Sin embargo, se tiene que actualmente la figura presenta ciertos inconvenientes que impiden que delatar sea más beneficioso que coludir. Por ende, se desarrollará una propuesta integral que brinde los incentivos necesarios para evitar este tipo de conductas y garantizar los cometidos estatales.This thesis is situated in the middle of two legal regimes that interact and complement each other: public procurement and competition law. It also analyzes Leniency as an alternative to repress Collusive tendering in bid rigging. However, this figure is currently presenting certain drawbacks that makes being part of a cartel is more attractive than confessing this unlawful conduct. Therefore, a comprehensive proposal is developed, providing the necessary incentives to avoid this type of agreements and to guarantee the rule of law.Abogado (a)Pregrad

Thiobacillus as a key player for biofilm formation in oligotrophic groundwaters of the Fennoscandian Shield

Biofilm formation is a common adaptation for microbes in energy-limited conditions such as those prevalent in the vast deep terrestrial biosphere. However, due to the low biomass and the inaccessible nature of subsurface groundwaters, the microbial populations and genes involved in its formation are understudied. Here, a flow-cell system was designed to investigate biofilm formation under in situ conditions in two groundwaters of contrasting age and geochemistry at the aspo Hard Rock Laboratory, Sweden. Metatranscriptomes showed Thiobacillus, Sideroxydans, and Desulforegula to be abundant and together accounted for 31% of the transcripts in the biofilm communities. Differential expression analysis highlighted Thiobacillus to have a principal role in biofilm formation in these oligotrophic groundwaters by being involved in relevant processes such as the formation of extracellular matrix, quorum sensing, and cell motility. The findings revealed an active biofilm community with sulfur cycling as a prominent mode of energy conservation in the deep biosphere