Analisis Faktor yang Mempengaruhi Keberhasilan Sistem Informasi Pendaftaran Online di Rumah Sakit Nasional Diponegoro Kota Semarang

The development of online-based information technology in the health sector can improve the quality of hospital services. Currently, Diponegoro National Hospital has implemented outpatient registration based on the "RSND-Ku" android application, and 70% of patients use the application. This study aims to describe the effectiveness and factors that influence the implementation of online registration services for outpatients at the Diponegoro National Hospital Semarang by applying a quantitative method with a descriptive analytic approach to 100 patients who use online registration services aged 20-40 years. The results showed that there is a relationship between the factors that influence the implementation of outpatient online registration services, namely the p-value of system quality of 0.000, the correlation coefficient of 0.460, the p-value of the information quality value of 0.000 and the correlation of 0.472, the p-value of service quality of 0.000 and the correlation of 0.498, and use with a p value of 0.000 and a correlation of 0.441. As for further research, the researcher suggests improvements to optimize the smoothness of the system, completeness of information, updating services, and socializing the flow of online registration services.

Research on Decision Model of Emergency Material Distribution Based on Random Information

As an important link of emergency logistics, emergency material distribution has been widely concerned and applied in the development of today’s society. From the consideration of the fairness and efficiency of material distribution, there is a kind of negative and negative relationship between them. As a lever, information updating can be used to solve the problems of fairness and efficiency in the distribution of emergency supplies. Based on fuzzy objective programming, the classification decision model of emergency materials is discussed in this paper.

Optimal Ordering Policy for Retailers with Bayesian Information Updating in a Presale System

In this study, we investigate inventory allocation and pricing strategies for retailers by incorporating demand information into the issue of inventory allocation during the presale period. In a presale system, retailers offer presale goods at a price lower than the retail price. By offering products at a discount, retailers may attract additional demand. In addition, this system enables retailers to reduce the uncertainty of market demand and establish a strategy for inventory allocation based on the results of presales. A Bayesian approach was employed to analyze and update demand information, and inventory allocation was formulated as a newsvendor problem to determine the optimal policy that maximizes retailer profit . A numerical analysis was conducted to validate the effectiveness of the proposed strategy. Results suggest that the proposed strategies can support retailers by more accurately predicting demand and achieving higher profits with less inventory. Furthermore, retailers can experience greater benefits from risk-averse customers than from risk-neutral customers.

Demands, challenges and solutions for Irandoc to improve and expand activities of academic and research libraries (ARLs)

PurposeIranian Research Institute for Information Science and Technology (Irandoc) undertaken activities to improve and expand Academic and Research Libraries (ARLs). However, it is necessary to identify demands, challenges and solutions for Irandoc to improve and extend activities of these libraries.Design/methodology/approachIn this study, documents of Science & Technology Information System (STIS) commission analyzed in order to investigate the most important steps taken by Irandoc. The results of this part of research used to conduct interviews with administrators and experts in four groups including thirteen ARL managers, four middle and upper level managers at Irandoc, two deputies in Ministry of Science, Research and Technology (MSRT), and four experts in this field. Therefore, the present study was qualitative with content analysis approach. The credibility of the research findings promoted by a peer debriefing and member checking methods.FindingsThe results showed that strengthening of STIS commission, reinforced Irandoc's authoritative duties in MSRT, establishing a network of ARLs, promoting Irandoc's relationship with ARLs, institutional mapping among organizations in the field of libraries and information, updating of Irandoc's policies and statutes regarding ARLs, completing library statistics and information, standardizing, monitoring and evaluating ARLs, developing Continuous Professional Development (CPD) programs, and future study of ARLs were among the most important operational and executive strategies for improving and expanding ARLs' activities.Originality/valueOrganizational structure of the relationship among MSRT, Irandoc, ARLs and the types of services and resources ARLs provide in six levels, as well as conceptual model of Irandoc's position in this field presented.

Combining information from parental and personal experiences: Simple processes generate diverse outcomes

Experiences of parents and/or offspring are often assumed to affect the development of trait values in offspring because they provide information about the external environment. However, it is currently unclear how information from parental and offspring experiences might jointly affect the information-states that provide the foundation for the offspring phenotypes observed in empirical studies of developmental plasticity in response to environmental cues. We analyze Bayesian models designed to mimic fully-factorial experimental studies of trans and within- generational plasticity (TWP), in which parents, offspring, both or neither are exposed to cues from predators, to determine how different durations of cue exposure for parents and offspring, the devaluation of information from parents or the degradation of information from parents would affect offspring estimates of environmental states related to risk of predation at the end of such experiments. We show that the effects of different cue durations, the devaluation of information from parents, and the degradation of information from parents on offspring estimates are all expected to vary as a function of interactions with two other key components of information-based models of TWP: parental priors and the relative cue reliability in the different treatments. Our results suggest empiricists should expect to observe considerable variation in the patterns observed in experimental studies of TWP based on simple principles of information-updating, without needing to invoke additional assumptions about costs, tradeoffs, development constraints, the fitness consequences of different trait values, or other factors.

Methods for evaluating the quality of information on health websites: Systematic Review (2001-2014)

The Internet is a major source of health information, but the poor quality of the information has been criticized for decades. We looked at methods for assessing the quality of health information, updating the findings of the first systematic review from 2002. We searched 9 Health Sciences, Information Sciences, and multidisciplinary databases for studies. We identified 7,718 studies and included 299. Annual publications increased from 9 (2001) to 53 (2013), with 89% from developed countries. We identified 20 areas of knowledge. Six tools have been used worldwide, but 43% of the studies did not use any of them. The methodological framework of criteria from the first review has been the same. The authors were the evaluators in 80% of the studies. This field of evaluation is expanding. No instrument simultaneously covers the evaluation criteria. There is still a need for a methodology involving experts and users and evidence-based indicators of accuracy.

Genetic Depletion of BDNF Impairs Extinction Learning of a Spatial Appetitive Task in the Presence or Absence of the Acquisition Context

Brain derived neurotropic factor (BDNF) supports neuronal survival, growth, and differentiation and is involved in forms of hippocampus-dependent and independent learning, as well as hippocampus-dependent learning. Extinction learning comprises active inhibition of no-longer relevant learned information, in conjunction with a decreased response of a previously learned behavior. It is highly dependent on context, and evidence exists that it requires hippocampal activation. The participation of BDNF in memory processing is experience-dependent. For example, BDNF has been associated with synaptic plasticity needed for spatial learning, and it is involved in acquisition and extinction learning of fear conditioning. However, little is known about its role in spatial appetitive extinction learning. In this study, we evaluated to what extent BDNF contributes to spatial appetitive extinction learning in the presence (ABA) or absence (AAA) of exposure to the acquisition context. Daily training, of BDNF+/−-mice or their wildtype (WT) littermates, to reach acquisition criterion in a T-maze, resulted in a similar performance outcome. However, extinction learning was delayed in the AAA, and impaired in the ABA-paradigm compared to performance in WT littermates. Trial-by-trial learning analysis indicated differences in the integration of the context into extinction learning by BDNF+/−-mice compared to WT littermates. Taken together, these results support an important role for BDNF in processes that relate to information updating and retrieval that in turn are crucial for effective extinction learning.

A Multistage Dynamic Emergency Decision-Making Method considering the Satisfaction under Uncertainty Information

Emergency decision-making (EDM) is of paramount importance, especially when the emergency occurs. The evolution nature of the emergency, such as multistage, uncertainty, dynamic, and information updating, has been playing a key role in the dynamic emergency decision-making process. However, most existing studies ignored the aforementioned nature. Our approach accounts for the dynamics inherent to a real emergency decision-making process and presents a multistage dynamic emergency decision-making (MSDEDM) procedure of a dynamic programming model based on decision-makers’ psychological reference satisfactory degree. Firstly, interval-valued trapezoidal intuitionistic fuzzy numbers (IVTrIFNs) are used to depict the relevant fuzziness and uncertainty of information. Secondly, by considering the dynamic evolution process of emergency and the decision-makers’ psychological reference expectation effect, the principle of MSDEDM approach is presented. Based on the analysis, the dynamic model on the new psychological reference satisfactory parameter formula is presented to obtain the optimal satisfaction and weight of each stage. Then, the value utility function based on the DMs’ risk attitude is proposed to obtain the comprehensive value of each emergency alternative for each stage and achieve the ranking results of each stage. Furthermore, a case study involving the transportation emergency decision-making problem demonstrates that the proposed method can achieve selection of the optimal alternatives for each stage, as well as adjustment of the alternatives for neighbouring stages. Finally, the comparative analysis and sensitivity analysis for the results are used to further verify the feasibility and practicability of the proposed method.

How basic components of information-updating interact to encourage variation in the results of empirical studies of within and transgenerational plasticity

Experiences of parents and/or offspring are often assumed to affect the development of trait values in offspring because they provide information about the external environment, but it is currently unclear how information from different sources and times might combine to affect the information-states that provide the foundation for the patterns observed in empirical studies of developmental plasticity in response to environmental cues. We analyze Bayesian models designed to mimic fully-factorial experimental studies of within and transgenerational plasticity (TWP), in which parents, offspring, neither or both are exposed to cues from predators, to determine how different durations of cue exposure for parents and offspring, the devaluation of information from parents or the degradation of information from parents would affect offspring estimates of environmental states related to risk of predation at the end of such experiments. We show that the effects of different cue durations, the devaluation of information from parents, and the degradation of information from parents on offspring estimates are all expected to vary as a function of interactions with two other key parameters of information-based models of TWP: parental priors and the relative cue reliability in the different treatments. Our results suggest empiricists should expect to observe considerable variation across experimental studies of TWP based on simple principles of information-updating, without needing to invoke additional assumptions about costs, tradeoffs, development constraints, the fitness consequences of different trait values, or other factors.