Machine Learning Approach For User Interface Testing

A system and method are disclosed that enable automated testing of a user interface. The testing system includes a machine learning (ML) algorithm to test a user interface. The ML approach includes collecting training samples, creating an ML model and using the model to test the user interface. Training samples are collected by providing the users with diff files with the differences highlighted. A user is provided with options to specify if the differences are acceptable or not. The user classification and other attributes are used to train the model. When a new diff is created it may be fed to the trained network which results in prediction of acceptance or rejection (for example as ACCEPT DIFF or REJECT DIFF ) as output of the network. The system eliminates false positives in an automated way and thus reduces time spent by human inspectors to test user interface changes

METHOD FOR STORING AND RETRIEVAL OF HISTORY FOR MOBILE DEVICES

A system and method for storing and retrieval of history for mobile devices is disclosed. Each history item includes a type and a uniform resource identifier through introduction of a “typed history” at operating system (OS) level. The operating system is provided with an application program interface (API) and a user interface to store and activate the stored history items. The retrieval of history items is not limited to the items stored in one application alone, but items could also be retrieved by type across all applications

GLOBAL REWARD SEARCH AND REDEMPTION PLATFORM

A global reward search and redemption platform allows consumers to redeem rewards points to purchase products. A consumer registers with multiple rewards programs and accumulates rewards points. The consumer also registers with a search provider and enables the search provider to access the rewards points balances associated with the rewards program accounts of the consumer. The search provider communicates with multiple redemption systems to identify products associated with a search query of the consumer. The search provider determines a price for the consumer to purchase each product, where at least part of the price is expressed in rewards points associated with one or more of the rewards program accounts of the consumer. The consumer selects a search result and initiates a transaction to purchase a product using the consumer’s rewards program account balances

Crowd Opinion Mining And Scoring

A system and method are disclosed for mining and rating one or more crowd opinions. The system uses a machine learning approach for crowd opinion mining and scoring. The machine learning algorithm creates and updates concepts of the target query in the server by simultaneously mining the web to update opinion scores. A search interface is provided to find concepts and opinions on the targets. Based on the search, the system retrieves the target-related opinions from the server. The system sends crowd-sourced opinions or answers to users. Crowd knowledge is utilized to find opinions and the scores are displayed in a central place. Biasing of community-based opinions is mitigated

Fourth Update on the Iranian National Registry of Primary Immunodeficiencies: Integration of Molecular Diagnosis

BACKGROUND: The number of inherited diseases and the spectrum of clinical manifestations of primary immunodeficiency disorders (PIDs) are ever-expanding. Molecular diagnosis using genomic approaches should be performed for all PID patients since it provides a resource to improve the management and to estimate the prognosis of patients with these rare immune disorders. METHOD: The current update of Iranian PID registry (IPIDR) contains the clinical phenotype of newly registered patients during last 5 years (2013-2018) and the result of molecular diagnosis in patients enrolled for targeted and next-generation sequencing. RESULTS: Considering the newly diagnosed patients (n = 1395), the total number of registered PID patients reached 3056 (1852 male and 1204 female) from 31 medical centers. The predominantly antibody deficiency was the most common subcategory of PID (29.5%). The putative causative genetic defect was identified in 1014 patients (33.1%) and an autosomal recessive pattern was found in 79.3% of these patients. Among the genetically different categories of PID patients, the diagnostic rate was highest in defects in immune dysregulation and lowest in predominantly antibody deficiencies and mutations in the MEFV gene were the most frequent genetic disorder in our cohort. CONCLUSIONS: During a 20-year registration of Iranian PID patients, significant changes have been observed by increasing the awareness of the medical community, national PID network establishment, improving therapeutic facilities, and recently by inclusion of the molecular diagnosis. The current collective study of PID phenotypes and genotypes provides a major source for ethnic surveillance, newborn screening, and genetic consultation for prenatal and preimplantation genetic diagnosis

Multiomics strategy in clinical immunology aiding unsolved antibody deficiencies

Clinical and immunological phenotyping of a cohort of consecutive dysgammaglobulinemic patients with unknown genetic defects underwent genomic (e.g. whole-exome sequencing) and other relative multiomics (e.g. transcriptomics, proteomics, epigenomics and immunomics) investigations after having been subjected to classical targeted sequencing. Exome sequencing analysis was performed on 126 PAD probands (55.5% male, 95.2% childhood onset) born to predominantly consanguineous parents (82.5%) and thus expected to carry homozygous mutations with an autosomal recessive pattern of inheritance. This genomic approach and subsequent immunological investigations identified potential disease-causing variants in 86 patients (68.2%), however, 27 of these patients (31.4%) carried autosomal dominant (7%) and X-linked (24.4%) gene defects. Using this advanced method and multiomics confirmatory studies, we described new phenotypes of known genes (Paper I, III), new inheritance pattern of known genes (Paper II) and discovered a new gene in human disorder (Paper IV). Clinical and immunologic phenotypes of the remaining unsolved 40 patients were compared with patients with identified molecular defects. Medical implications of the definite molecular diagnosis were reported in ~50% of the patients, including hematopoietic stem cell transplantation, follow-up visits schedule and tertiary preventive screening tests (such as reducing radiation exposure for radiosensitive patients), targeted medication and prenatal diagnosis. Finally, we propose a clinical/immunologic workup followed by a standard genomic and multiomics analysis for an approach to PAD patients (Paper V). Due to misclassification of the conventional clinical and immunological phenotyping for targeted sequencing, employing next generation sequencing as a preliminary step of molecular diagnosis approach to patients with dysgammaglobulinemia is essential and could help in many facets of management and treatment of the patients and their family members. This study also illustrates the power of exome sequencing in the identification of novel and candidate genes underlying primary antibody deficiency and nesciciate confirmatory multiomics functional assays. The findings of this study demonstrate a new workup and clinical guideline to approach patients with different types of dysgammaglobulinemia and highlight the importance of multiomics approach in the filed of clinical immunolog

Known and potential molecules associated with altered B cell development leading to predominantly antibody deficiencies.

AbstractPredominantly antibody deficiencies (PADs) encompass a heterogeneous group of disorders characterized by low immunoglobulin serum levels in the presence or absence of peripheral B cells. Clinical presentation of affected patients may include recurrent respiratory and gastrointestinal infections, invasive infections, autoimmune manifestations, allergic reactions, lymphoproliferation, and increased susceptibility to malignant transformation. In the last decades, several genetic alterations affecting B‐cell development/maturation have been identified as causative of several forms of PADs, adding important information on the genetic background of PADs, which in turn should lead to a better understanding of these disorders and precise clinical management of affected patients. This review aimed to present a comprehensive overview of the known and potentially involved molecules in the etiology of PADs to elucidate the pathogenesis of these disorders and eventually offer a better prognosis for affected patients

Tree-Based Method for Classifying Websites Using Extended Hidden Markov Models

Abstract. One important problem proposed recently in the field of web mining is website classification problem. The complexity together with the necessity to have accurate and fast algorithms yield to many attempts in this field, but there is a long way to solve these problems efficiently, yet. The importance of the problem encouraged us to work on a new approach as a solution. We use the content of web pages together with the link structure between them to improve the accuracy of results. In this work we use Naïve-bayes models for each predefined webpage class and an extended version of Hidden Markov Model is used as website class models. A few sample websites are adopted as seeds to calculate models' parameters. For classifying the websites we represent them with tree structures and we modify the Viterbi algorithm to evaluate the probability of generating these tree structures by every website model. Because of the large amount of pages in a website, we use a sampling technique that not only reduces the running time of the algorithm but also improves the accuracy of the classification process. At the end of this paper, we provide some experimental results which show the performance of our algorithm compared to the previous ones

Fourth Update on the Iranian National Registry of Primary Immunodeficiencies: Integration of Molecular Diagnosis

Background The number of inherited diseases and the spectrum of clinical manifestations of primary immunodeficiency disorders (PIDs) are ever-expanding. Molecular diagnosis using genomic approaches should be performed for all PID patients since it provides a resource to improve the management and to estimate the prognosis of patients with these rare immune disorders. Method The current update of Iranian PID registry (IPIDR) contains the clinical phenotype of newly registered patients during last 5 years (2013–2018) and the result of molecular diagnosis in patients enrolled for targeted and nextgeneration sequencing. Results Considering the newly diagnosed patients (n = 1395), the total number of registered PID patients reached 3056 (1852 male and 1204 female) from 31 medical centers. The predominantly antibody deficiency was the most common subcategory of PID (29.5%). The putative causative genetic defect was identified in 1014 patients (33.1%) and an autosomal recessive pattern was found in 79.3% of these patients. Among the genetically different categories of PID patients, the diagnostic rate was highest in defects in immune dysregulation and lowest in predominantly antibody deficiencies and mutations in the MEFV gene were the most frequent genetic disorder in our cohort. m