It is usually supposed that the training (source domain) and test (target domain) data follow a similar distribution and feature space in most pattern recognition tasks. However, in many real-world applications, particularly in visual recognition, this hypothesis has been frequently violated. This problem is known as domain shift problem. Domain ADAPTATION and transfer learning are promising techniques to learn an effective and robust classifier to tackle shift problem. In this paper, we propose a novel scheme for domain ADAPTATION, entitled as Joint Distribution ADAPTATION via Feature and Model Matching (JDAFMM), in which feature transform and model matching are jointly optimized. Due to joint optimization, we can have a robust model with feasible feature transformation and model parameter ADAPTATION. By introducing regularization operated between the marginal and conditional distributions’ shifts across domains, we can successfully adapt data drift as much as possible along with empirical risk minimization and rate of consistency maximization between manifold and prediction function. We conduct extensive experiments to evaluate the performance of the proposed model against those of other machine learning and domain ADAPTATION methods in three types of visual benchmark datasets. Our experiments illustrate that our JDAFMM significantly outperforms other baseline and state-of-the-art methods.

Context: The National institute for health and care excellence (NICE) and scottish intercollegiate guidelines network (SIGN) are two well-known sources of clinical guideline development. In the past years, they have developed clinical guidelines for the management of head injury. In this report, we will highlight our modifications to these guidelines according to the domestic situation in a developing country.Evidence Acquisition: The guidelines were appraised using the appraisal of guidelines for research and evaluation (AGREE) instrument.All key recommendations were reviewed by 14 prominent Iranian neurosurgeons; levels of evidence were evaluated and items with limited evidence were determined. Available evidence for selected items were reviewed and discussed.Results: The following items were the most challenging when accounting for the domestic situation in Iran: age as a risk factor for referral, computed tomography scan, the impact of medical comorbidities, pregnancy, consultation, referral to a neurosurgical unit, and teleconsulting and observation before discharge.Conclusions: The evidence in the discussed topics was limited and controversial. This report is important because it exposes the current knowledge gap in head trauma studies in Iran.

The purpose of this study is to design the model of organizational metamorphosis so that organizations could have a model for ADAPTATION in the environment of frequent and drastic changes in the environment. Due to its nature, the environment of ICT industry has frequent and very drastic changes. In this regard, the conceptual literature related to the research topic has been reviewed and then after holding interviews with ICT industry experts who worked in field of strategy, the components affecting organizational metamorphosis were identified. 16 semi-structured interviews were conducted and the model has reached theoretical saturation. Using the accompanying researcher method and also examining the internal agreement index conducted by two experts and obtaining 72% and 76% internal agreement points, the organizational metamorphosis model was drafted. In turbulent environments with rapid and drastic changes, organizations need a model beyond strategic planning and must change their internal structures or even return to their previous configurations.

The subject of the present article is the study the adapted movie of Pasoini from Thousand and One Nights in the form of ADAPTATION. The research question of our paper is whether Pasolini's adapted movie makes it possible for the text to be clarified and illustrated or if Pasolini's movie can add new meaning and interpretations to the text? the objective of the paper is, in addition to studing the similarities and differences of the text and the image with a comparative approach, is to demonstrate that Pasolini behind adapting the Nights is to insert his ideological mechanisms his school's discourses into the movie. The method of this article is based on Linda Hucheon's theory of ADAPTATION. hucheon believes ADAPTATION is derivation but not copying rather it is a new work which is important in itself. According to Hucheon Pasoini' make the arabian Nights his own and changes it and place his own worldview on it and has deviated from it and this deviation is inevitable.

Climate change ADAPTATION strategies, especially understanding agriculture, are strategies to mitigate climate change impacts. These strategies are addressed in three concepts: climate change ADAPTATION strategies and problems. Iran needs climate change ADAPTATION strategies with dry climates, successive droughts, and rising temperatures. Two indicators of climate change ADAPTATION ADAPTATION strategy index (ASI) and Problem Confrontation Index (PCI) were used to analyze climate change ADAPTATION strategies in Fars province agriculture. The findings showed that more than 90% of respondents understand and seek ADAPTATION to climate change and its effects. They have chosen irrigation and technology modernization strategies, drought-resistant varieties (rapeseed, medicinal plants), shifting cultivation time, greenhouse cultivation, and variety of crop varieties and activities as adaptive strategies to climate change. Weak finances, high price fluctuations, low productivity, technical skill, and the complicated rules of the bureaucracy in financing were the most important problems in the implementation and success of strategies. Therefore, it is possible to achieve more successful climate change strategies by establishing a financial support system (such as Grameen Bank of Bangladesh), training and enhancing users' technical knowledge and sustaining revenue sources.