Topic Classification for Short Texts

In the context of TV and social media surveillance, constructing models to automate topic identification of short texts is key task. This paper formalizes the topic classification as a top-K multinomial classification problem and constructs worth-to-consider models for practical usage. We describe the full data processing pipeline, discussing about dataset selection, text preprocessing, feature extraction, model selection and learning, including hyperparameter optimization. When computing time and resources are limited, we show that a classical model like SVM performs as well as an advanced deep neural network, but with shorter model training time

Seamless Connectivity System for Intelligent Public Transportation Systems: Architecture and Mechanism Design

Providing ubiquitous connectivity to the passengers of public transportation vehicles is an important goal of the communication system designers in the context of fast development of the intelligent transportation systems and of the Future Internet communication technologies. This paper proposes the architecture of a connectivity system for public transportation communication services, the architecture design being considered on three distinct levels: system, functional and platform level. The proposed system architecture specifies a minimal set of entities required to implement the envisaged connectivity solution and based on a functional analysis the subsystems and modules are derived. By mapping the functional architecture on the hardware components intended to be used the platform architecture is developed. The paper proposes also the design of the mechanisms which implement the inter-process communications, perform the acquisition and handling of the context information and implement a distributed information system characterizing the heterogeneous networking environment. For other mechanisms, like decision and mobility management, the design principles are described. In order to validate the proposed architecture design and to check the correct functioning of the various subsystems and modules a few experimental tests are presented

Approach to the Adult Acute Lymphoblastic Leukemia Patient

During recent decades, understanding of the molecular mechanisms of acute lymphoblastic leukemia (ALL) has improved considerably, resulting in better risk stratification of patients and increased survival rates. Age, white blood cell count (WBC), and specific genetic abnormalities are the most important factors that define risk groups for ALL. State-of-the-art diagnosis of ALL requires cytological and cytogenetical analyses, as well as flow cytometry and high-throughput sequencing assays. An important aspect in the diagnostic characterization of patients with ALL is the identification of the Philadelphia (Ph) chromosome, which warrants the addition of tyrosine kinase inhibitors (TKI) to the chemotherapy backbone. Data that support the benefit of hematopoietic stem cell transplantation (HSCT) in high risk patient subsets or in late relapse patients are still questioned and have yet to be determined conclusive. This article presents the newly published data in ALL workup and treatment, putting it into perspective for the attending physician in hematology and oncology