Analysis on the connotation of probability in the artificial intelligence algorithm for economic decision making.

This paper analyzes the inner relations between classical sub-scheme probability and statistic probability, subjective probability and objective probability, prior probability and posterior probability, transition probability and probability of utility, and further analysis the goal, method, and its practical economic purpose which represent by these various probability from the perspective of mathematics, so as to deeply understand there connotation and its relation with economic decision making, thus will pave the route for scientific predication and decision making.

Teolog fundamentalny wobec ataku Przypadku, Nieokreśloności, Prawdopodobieństwa, Dwuznaczności, Wieloznaczności?

Postmodernizm prezentuje postawę akceptacji Nieładu, Chaosu i Przypadku. Czy istnieje moż- liwość dialogu z taką postawą? Postmodernizm powstaje jako bunt na pograniczu filozofii i estetyki. Kontestuje zastany Ład. Sprzeciwia się kartezjańskiemu Cogito ergo sum oraz podziałowi na res cogitans i res extensa. Jest to ruch kulturowy, który nie ma jeszcze swojego ostatecznego wyrazu. Jest on ciągle postrzegany jako proces przechodzenia od starego do nowego Ładu. Taki brak dookreślenia budzi niepokój i sprzeciw. Teologia fundamentalna jest badaniem granic i dialogu. Stoi na progu, więc ma obowiązek rozeznać ludzki niepokój w akceptacji otaczającego świata. Musimy zapytać, dlaczego człowiek akceptuje ten Nieład?

The use of Acceptance and Commitment Therapy to address psychological distress experienced by caregivers: a randomised controlled feasibility trial

Background: An extensive research literature has documented the impact of caring for an individual with acquired brain injury (ABI) on caregivers and family members, including role adjustment, psychological distress, social isolation, family tension and coping with the cognitive and behavioural difficulties of the injured person. Given these findings it is important this population have access to services and supports. Acceptance and Commitment Therapy (ACT) is an intervention that helps individuals to accept difficult experiences and commit to behaviour that is consistent with their values. Research into the effectiveness of ACT to support caregivers is at a preliminary stage. Aim: To investigate the feasibility of using ACT to reduce psychological distress and increase psychological flexibility in ABI caregivers. A secondary aim was to gain an understanding of the experience of caregivers in this context and how this can inform the development and delivery of interventions for this population. Method: Phase one was a randomised controlled feasibility trial of an ACT intervention for use with ABI caregivers. The parameters of this study were formulated around the PICO (population, intervention, control, and outcome) framework. Eighteen carers were recruited and randomised to ACT or an enhanced treatment as usual (ETAU) group. ACT was implemented over 3 sessions; and ETAU was implemented over 2 sessions. The General Health Questionnaire, Valuing Questionnaire, Acceptance and Action Questionnaire, Experiential Avoidance of Caregiving Questionnaire and the Flexibility of Responses to Self-Critical Thoughts Scale were administered to both groups at baseline and following the final session. Phase two used a retrospective qualitative design that involved conducting semi-structured interviews with four participants from phase one. Results: ACT and control participants were successfully recruited. Positive feedback was obtained from ACT participants suggesting that the intervention was acceptable. There were no significant differences between the ACT and ETAU groups on outcome measures. However, there were challenges retaining participants and the overall attrition rate was high (44.44%). Therefore a number of participants did not complete the full complement of sessions, which may have impacted on this result. Qualitative results illustrated the challenges this population face including significant adjustments in their life, the emotional impact of having a loved one with a brain injury and trying to adapt to the changes in the injured person. In addition, findings elucidated the types of support that this population would find helpful and the barriers to accessing same. Conclusions: Findings from this study highlight factors that will help the development of this intervention further for a caring population. Recommendations for future implementation include completing some preparatory work with carers before beginning the intervention, consideration of a larger sample and wider recruitment strategy from local services, barriers to attending interventions and the possibility of holding groups in local venues.

Model Probability in Self-organising Maps

Growing models have been widely used for clustering or topology learning. Traditionally these models work on stationary environments, grow incrementally and adapt their nodes to a given distribution based on global parameters. In this paper, we present an enhanced unsupervised self-organising network for the modelling of visual objects. We first develop a framework for building non-rigid shapes using the growth mechanism of the self-organising maps, and then we define an optimal number of nodes without overfitting or underfitting the network based on the knowledge obtained from information-theoretic considerations. We present experimental results for hands and we quantitatively evaluate the matching capabilities of the proposed method with the topographic product.

Depression and physical disability in chronic pain: The mediation role of emotional intelligence and acceptance

Emotional intelligence (EI) and acceptance have previously been identified as potential factors in the adjustment to chronic pain (CP). This study examined the associations between CP experiences, depression, and physical disability. It further investigated the mediating effect of EI and acceptance in the relationship between CP experiences, depression, and physical disability and how this changes with the duration of the CP. Method: A cross-sectional design, employing validated questionnaires, was used to measure pain experience, physical disability, depression, EI, and acceptance in 133 CP patients. Results: All variables were found to be significantly associated in theoretically predicted ways. The relationship between CP experiences and depression was mediated by both factors, as high EI and acceptance promoted a decreased influence of pain on depression. By contrast, the relationship between CP experiences and physical disability was mediated by acceptance, but not by EI. Further, the temporal stability analysis of this mediation model showed that long-term CP patients are better able to make use of these factors. Conclusions: The relationship between the experience of pain and depression or physical disability seems to be significantly mediated by factors such as EI and acceptance. This study lends further support to the development of more encompassing models that take both control and non-control variables into account when conceptualising the adjustment to CP. Theoretical and clinical implications are discussed.

Effectiveness of Acceptance and Commitment Therapy for Depression, Psychological Well-Being and Feeling of Guilt in 7 - 15 Years Old Diabetic Children

Background: Diabetes imposes restrictions on physical, emotional, and social functioning of children and adolescents. Objectives: The aim of this study was to determine effectiveness of acceptance and commitment therapy (ACT) for depression, psychological well-being and feeling of guilt in 7 - 15 years old diabetic children. Patients and Methods: This was a clinical trial with pre-test and post-test design with control group. The study population consisted of 34 participants selected using convenient sampling out of all 7 - 15 years old patients that referred to the Diabetes Association of Tabriz. They were randomly allocated into two equal groups (experimental and control). The experimental group participated in therapy sessions and the control group did not receive any intervention. The research instruments were reynolds child depression scale (RCDS), eysenck feelings of guilt scale and satisfaction with life scale (SWLS). Results: Multivariate covariance analysis (MANCOVA) showed that the treatment was effective on variables of depression, psychological well-being and feeling guilty in 7 - 15 years old diabetic children (P < 0.001). Conclusions: The aforementioned treatment is effective and suggested to be used in other psychosomatic diseases of children.

Probability and Common-Sense: Tandem Towards Robust Robotic Object Recognition in Ambient Assisted Living

The suitable operation of mobile robots when providing Ambient Assisted Living (AAL) services calls for robust object recognition capabilities. Probabilistic Graphical Models (PGMs) have become the de-facto choice in recognition systems aiming to e ciently exploit contextual relations among objects, also dealing with the uncertainty inherent to the robot workspace. However, these models can perform in an inco herent way when operating in a long-term fashion out of the laboratory, e.g. while recognizing objects in peculiar con gurations or belonging to new types. In this work we propose a recognition system that resorts to PGMs and common-sense knowledge, represented in the form of an ontology, to detect those inconsistencies and learn from them. The utilization of the ontology carries additional advantages, e.g. the possibility to verbalize the robot's knowledge. A primary demonstration of the system capabilities has been carried out with very promising results.

SAMPLING BIAS IN EVALUATING THE PROBABILITY OF SEISMICALLY INDUCED SOIL LIQUEFACTION WITH SPT & CPT CASE HISTORIES

Several deterministic and probabilistic methods are used to evaluate the probability of seismically induced liquefaction of a soil. The probabilistic models usually possess some uncertainty in that model and uncertainties in the parameters used to develop that model. These model uncertainties vary from one statistical model to another. Most of the model uncertainties are epistemic, and can be addressed through appropriate knowledge of the statistical model. One such epistemic model uncertainty in evaluating liquefaction potential using a probabilistic model such as logistic regression is sampling bias. Sampling bias is the difference between the class distribution in the sample used for developing the statistical model and the true population distribution of liquefaction and non-liquefaction instances. Recent studies have shown that sampling bias can significantly affect the predicted probability using a statistical model. To address this epistemic uncertainty, a new approach was developed for evaluating the probability of seismically-induced soil liquefaction, in which a logistic regression model in combination with Hosmer-Lemeshow statistic was used. This approach was used to estimate the population (true) distribution of liquefaction to non-liquefaction instances of standard penetration test (SPT) and cone penetration test (CPT) based most updated case histories. Apart from this, other model uncertainties such as distribution of explanatory variables and significance of explanatory variables were also addressed using KS test and Wald statistic respectively. Moreover, based on estimated population distribution, logistic regression equations were proposed to calculate the probability of liquefaction for both SPT and CPT based case history. Additionally, the proposed probability curves were compared with existing probability curves based on SPT and CPT case histories.

Proton Form Factor Puzzle and the CEBAF Large Acceptance Spectrometer(CLAS) Two-Photon Exchange Experiment

The electromagnetic form factors are the most fundamental observables that encode information about the internal structure of the nucleon. The electric ($G_{E}$) and the magnetic ($G_{M}$) form factors contain information about the spatial distribution of the charge and magnetization inside the nucleon. A significant discrepancy exists between the Rosenbluth and the polarization transfer measurements of the electromagnetic form factors of the proton. One possible explanation for the discrepancy is the contributions of two-photon exchange (TPE) effects. Theoretical calculations estimating the magnitude of the TPE effect are highly model dependent, and limited experimental evidence for such effects exists. Experimentally, the TPE effect can be measured by comparing the ratio of positron-proton elastic scattering cross section to that of the electron-proton $\large(R = \frac{\sigma (e^{+}p)}{\sigma (e^{-}p)}\large)$. The ratio $R$ was measured over a wide range of kinematics, utilizing a 5.6 GeV primary electron beam produced by the Continuous Electron Beam Accelerator Facility (CEBAF) at Jefferson Lab. This dissertation explored dependence of $R$ on kinematic variables such as squared four-momentum transfer ($Q^{2}$) and the virtual photon polarization parameter ($\varepsilon$). A mixed electron-positron beam was produced from the primary electron beam in experimental Hall B. The mixed beam was scattered from a liquid hydrogen (LH$_{2}$) target. Both the scattered lepton and the recoil proton were detected by the CEBAF Large Acceptance Spectrometer (CLAS). The elastic events were then identified by using elastic scattering kinematics. This work extracted the $Q^{2}$ dependence of $R$ at high $\varepsilon$ ($\varepsilon > $ 0.8) and the $\varepsilon$ dependence of $R$ at $\langle Q^{2} \rangle \approx 0.85$ GeV$^{2}$. In these kinematics, our data confirm the validity of the hadronic calculations of the TPE effect by Blunden, Melnitchouk, and Tjon. This hadronic TPE effect, with additional corrections contributed by higher excitations of the intermediate state nucleon, largely reconciles the Rosenbluth and the polarization transfer measurements of the electromagnetic form factors.

Acceptance of smartphone-based mobile shopping:mobile benefits, customer characteristics, perceived risk and the impact of application context

Despite their generally increasing use, the adoption of mobile shopping applications often differs across purchase contexts. In order to advance our understanding of smartphone-based mobile shopping acceptance, this study integrates and extends existing approaches from technology acceptance literature by examining two previously underexplored aspects. Firstly, the study examines the impact of different mobile and personal benefits (instant connectivity, contextual value and hedonic motivation), customer characteristics (habit) and risk facets (financial, performance, and security risk) as antecedents of mobile shopping acceptance. Secondly, it is assumed that several acceptance drivers differ in relevance subject to the perception of three mobile shopping characteristics (location sensitivity, time criticality, and extent of control), while other drivers are assumed to matter independent of the context. Based on a dataset of 410 smartphone shoppers, empirical results demonstrate that several acceptance predictors are associated with ease of use and usefulness, which in turn affect intentional and behavioral outcomes. Furthermore, the extent to which risks and benefits impact ease of use and usefulness is influenced by the three contextual characteristics. From a managerial perspective, results show which factors to consider in the development of mobile shopping applications and in which different application contexts they matter.

Pareto Dominance of Deferred Acceptance through Early Decision

An early decision market is governed by rules that allow each student to apply to (at most) one college and require the student to attend this college if admitted. This market is ubiquitous in college admissions in the United States. We model this market as an extensive-form game of perfect information and study a refinement of subgame perfect equilibrium (SPE) that induces undominated Nash equilibria in every subgame (SPUE). Our main result shows that this game can be used to define a decentralized matching mechanism that weakly Pareto dominates student-proposing deferred acceptance.

Importância do enceramento de diagnóstico no plano de tratamento

Objetivos: Esta revisão bibliográfica foi elaborada com o intuito de clarificar os objetivos e aplicações do enceramento diagnóstico, nomeadamente na estética do sorriso; mencionar os fatores estéticos do sorriso bem como os princípios de design do mesmo, como objetivo a incluir no enceramento de diagnóstico e a atingir no resultado final do tratamento; abordar o conceito de planeamento digital do sorriso e abordar a importância da comunicação do médico-dentista/técnico de prótese/paciente e discutir os contributos que o enceramento diagnóstico pode aportar para esta relação entre profissionais e paciente. Material e métodos: Para a realização desta monografia, a fundamentação teórica baseou-se em 15 artigos científicos, publicados nas bases de dados PubMed, Scielo, Science Direct e B-on, com limite temporal entre 1998-2016, obtidos através das seguintes palavras-chave: “diagnostic wax-up”, “enceramento diagnóstico”, “esthetic smile design”, “smile design”, “esthetic dentistry”, “macroesthetic AND smile”, “patient-dentist communication”, “wax-up AND mock-up”, “treatment plan AND diagnostic wax-up”. A pesquisa bibliográfica foi ainda complementada com informações de alguns artigos de autores que foram mencionados nos artigos conseguidos, dada a dificuldade de acesso a alguns. Resultados/Conclusões: Em termos gerais, pode concluir-se através desta revisão de literatura que o enceramento de diagnóstico é essencial no plano de tratamento, porque aumenta a probabilidade da sua aceitação. É também um meio de obtenção de uma comunicação médico dentista/técnico de laboratório/paciente mais clara, precisa e eficaz. O paciente deve envolver-se desde cedo no seu plano de tratamento, dando o seu contributo através da transmissão dos seus desejos e necessidades. O enceramento de diagnóstico possui inúmeras aplicações na medicina dentária, sendo crucial para o design do sorriso. O design do sorriso envolve diversos parâmetros e encontra-se dividido em diferentes áreas (estética facial, estética periodontal e estética dentária), contendo nessas mesmas áreas conceitos variados a ter em conta. A estética do sorriso depende da interação de todas as áreas que envolvem o design do sorriso.

Pareto Dominance of Deferred Acceptance through Early Decision

An early decision market is governed by rules that allow each student to apply to (at most) one college and require the student to attend this college if admitted. This market is ubiquitous in college admissions in the United States. We model this market as an extensive-form game of perfect information and study a refinement of subgame perfect equilibrium (SPE) that induces undominated Nash equilibria in every subgame (SPUE). Our main result shows that this game can be used to define a decentralized matching mechanism that weakly Pareto dominates student-proposing deferred acceptance.