Brief Review on Electrocardiogram Analysis and Classification Techniques with Machine Learning Approaches

Electrocardiogram captures the electrical activity of the heart. The signal obtained can be used for various purposes such as emotion recognition, heart rate measuring and the main one, cardiac disease diagnosis. But ECG analysis and classification require experienced specialists once it presents high variability and suffers interferences from noises and artefacts. With the increase of data amount on long term records, it might lead to long term dependencies and the process become exhaustive and error prone. Automated systems associated with signal processing techniques aim to help on these tasks by improving the quality of data, extracting meaningful features, selecting the most suitable and training machine learning models to capture and generalize its behaviour. This review brings a brief stage sense of how data flows into these approaches and somewhat techniques are most used. It ends by presenting some of the countless applications that can be found in the research community.

Survey of Slum Housing Characteristics Using Drones: An Experiment in the Alto das Pombas Community, Salvador de Bahia/Brazil

Since the approval of the Brazilian Federal Technical Assistance Law, whose objective is to guarantee adequate technical assistance to the residents of poor areas to improve their homes, several municipalities have implemented programs, not always successful, to improve housing in slums. Aiming to subsidize these programs implementation workflow, the present paper analyses use of drones as a tool to gather information about the physical characteristics slum households in Salvador de Bahia city, Brazil. As an experiment we flight over a single census sector within the Alto das Pombas slum, and after image processing we extracted and organized the collected data, extracting the possible information that could be applied to identify and quantify the most precarious houses that could be prioritized from a health improvement perspective. We conclude that many of the necessary data needed, on the urbanistic scale in Brazilian slums, can benefit from drone photogrammetry at low cost and fast execution.

Confidentiality of Data using Hash Function

Steganography and Cryptography are two major fields which is widely used for data security. With the help of these technologies, data security is provided in banking system. In the proposed method, the online transactions are done virtually using hash function. Encryption of data is done by using the cryptographic hash function algorithm. The proposed approach implements an efficient algorithm for embedding the data in an image using steganography which provides the better security pattern for sending messages through a network. The authentication details of the sender and the receiver is hidden to achieve a secure transmission. The proposed approach provides better integrity and confidentiality. This paper implemented a novel methodology which can be used as a secure and highly efficient method of data hiding and data extracting.

RUNX3 Expression Level Is Correlated with the Clinical and Pathological Characteristics in Endometrial Cancer: A Systematic Review and Meta-analysis

Human Runt-associated transcription factor 3 (RUNX3) plays an important role in the development and progression of endometrial cancer (EC). However, the clinical and pathological significance of RUNX3 in EC needs to be further studied. In order to clarify the clinical and pathological significance of RUNX3, a systematic review and meta-analysis was conducted in EC patients. Keywords RUNX3, endometrial cancer, and uterine cancer were searched in Cochrane Library, Web of Knowledge, PubMed, CBM, MEDLINE, and Chinese CNKI database for data up to Dec 31, 2018. References, abstracts, and meeting proceedings were manually searched in supplementary. Outcomes were various clinical and pathological features. The two reviewers performed the literature searching, data extracting, and method assessing independently. Meta-analysis was performed by RevMan5.3.0. A total of 563 EC patients were enrolled from eight studies. Meta-analysis results showed that the expression of RUNX3 has significant differences in these comparisons: lymph node (LN) metastasis vs. non-LN metastasis ( P = 0.26 ), EC tissues vs. normal tissues ( P < 0.00001 ), clinical stages I/II vs. II/IV ( P < 0.00001 ), muscular infiltration < 1 / 2 vs. muscular infiltration ≥ 1 / 2 ( P < 0.00001 ), and G1 vs. G2/G3 ( P < 0.00001 ). The decreasing expression of RUNX3 is associated with poor TNM stage and muscular infiltration. It is indicated that RUNX3 was involved in the suppression effect of EC. However, further multicenter randomized controlled trials are needed considering the small sample size of the included trials.

Religion and Economy: How the Act of Rational Economy Dominates Muslim Entrepreneurs

This research aimed to explore the motives that encouraged Muslim entrepreneurs to make business decisions in running businesses, and also to examined the effects of their religions as well as the business logics they used toward their trading behaviors. The subjects of this research were the Muslim entrepreneurs running the business of apparel convection in Botoran, Tulungagung. This research used qualitative method with phenomenological approach. The data extracting technique was conducted by documentation, observation, and interviews. The results showed that Muslim traders based their business behaviors on the consideration of rational choices. Such behaviors were manifested in the forms of: choosing to partition their houses as the place of production (home factory); choosing to procure capital through the Chinese; choosing temporary sewing workers; choosing to replace the procurement of computer embroidery machines; dun-dunan rego (decreasing the costs); nembak (lighting); and reluctant to establish a cooperative to accommodate them. Meanwhile, religion, morals, and other values are not considered by them in running their business. The implication of the findings is that religious and economic motives always appeared in a person's business processes. The dominance of one of them was determined by the environment and experience. Sharia financial institutions in the vicinity, such as Sharia Banks and BMT (Baitul Mal wa Tamwil, a sharia-based microfinance institution or cooperative), as well as Islamic organizations, with the right kinship approach, were required to be present to pay attention to business development and community empowerment.

Artificial Intelligence to Improve the Business Efficiency and Effectiveness for Enterprises in Kazakhstan

The main objective of the research is identifying the effectiveness of artificial intelligence in the business sphere of Kazakhstan. The urgency of this problem is due to the fact that the Kazakhstani market for artificial intelligence is at the initial stage of development. The main obstacle to the introduction of artificial intelligence is the unpreparedness of managers of small and medium-sized businesses for the application of artificial intelligence technologies and, of course, the high cost of their implementation. In the study, we proceeded from the key thesis that business in Kazakhstan is striving for digital transformation. We set a goal to determine the attitude and degree of readiness of Kazakhstani business to the implementation and practical application of artificial intelligence, to describe the cases of using artificial intelligence by Kazakhstani business, to identify the main questions that arise in business at this stage, to study the legal aspects of using artificial intelligence in business and to present the big picture compliance / inconsistency of the existing legal framework with the goals and objectives of the development of artificial intelligence, provide recommendations for eliminatinge xisting barriers and stimulating businesses to implement the technology. Within the framework of this study, the concept of artificial intelligence is defined in its broadest sense - as a set of technologies for processing various types of data and information, in particular those capable of interpreting such data, extracting knowledge and using it to achieve certain goals.

Big Data, Extracting Insights, Comprehension, and Analytics in Cardiology: An Overview

Healthcare system facilitates the treatment of patients with the support of wearable, smart, and handheld devices, as well as many other devices. These devices are producing a huge bulk of data that need to be moulded for extracting meaningful insights from them for the useful use of researchers and practitioners. Various approaches, methods, and tools are in use for doing so and to extract meaningful information in the field of healthcare. This information is being used as evidence to further analyze the data for the early care of patient and to devise treatment. Early care and treatment can facilitate healthcare and the treatment of the patient and can have immense potentiality of dropping the care cost and quality refining of care and can decrease waste and chances of error. To facilitate healthcare in general and cardiology in specific, the proposed study presents an overview of the available literature associated with big data, its insights, and analytics. The presented report will help practitioners and researchers to devise new solutions for early care in healthcare and in cardiology.

Identificación de Variables Clínicas Asociadas al Diagnóstico Correcto e Incorrecto en Enfermedades Respiratorias

In emergency rooms, it is common that several patients present symptoms associated with pulmonary diseases as pneumonia and pulmonary embolism, however, their initial diagnosis presents several challenges: a) both share symptoms, b) the lack of imaging studies at the first diagnosis stage and, c) the amount of data resulting from laboratory analysis are vast to be quickly analyzed. Thus, supporting medical staff through the use of computational tools for detecting clinical variables that are significant on the initial diagnosis, is crucial. Hence, a collaboration with the Centro Medico Nacional de Occidente (CMNO) of the Instituto Mexicano del Seguro Social (IMSS) was established to gather, process, and analyze patients' electronic medical records with a pulmonary embolism or pneumonia diagnosis who were admitted through the emergency room. Data extracting and processing of patients’ medical records (PDF) were performed. Thereafter, a statistical and associative analysis (Apriori) was performed looking for the determination of the clinical variables associated with a correct or incorrect prognosis. As a result, during the patient diagnosis several frequently present variables were identified, pointing out those that whose median values were significantly different for both diseases studied here. Finally, some laboratory variables are suggested to be carefully observed while a patient's initial diagnosis is performed.

Cybersecurity in Networking Devices

Cybersecurity is training defensive arrangements, systems, and plans to save the information from cyber outbreaks. These virtual outbreaks are typically intended to retrieve, alter, or otherwise extinguish delicate data, extracting currency from manipulators, or disturb usual commercial procedures. System Security defends one’s system and information from breaks, interruptions also other intimidations. Network Security contains admission controller, computer virus and defiant computer virus software program, system safety, system analytics, system-connected protection categories, firewalls, and VPN encoding. System substructure strategies stand the mechanisms of a net that conveyance transportations desired intended for information, submissions, facilities, and multimedia. In this paper, we reflect on Cybersecurity in Networking Devices.

Historical droughts in Southeast Australia recorded in a New South Wales stalagmite

The Murray Darling Basin contains 40% of Australia’s farms and is subject to multi-year droughts that put severe pressure on southeast Australia’s freshwater resources. Yet the long-term frequency, timing and potential severity of these droughts is unknown, as there are few high-resolution paleoclimate records from the basin that extend past the instrumental era. In this study, we investigate the potential of stalagmites from Careys Cave, Wee Jasper, in the Murray-Darling Basin to record past droughts. We use a multiproxy approach of stalagmite stable isotopes, trace element data, and climate reanalysis. We show that (a) stalagmite δ18O at this site likely records either local or regional precipitation amount and (b) stalagmite δ18O shows reasonable coherence with decadal-scale wet and dry changes in regional rainfall over the last 150 years, including the Federation Drought (1895–1902). Therefore, stalagmites from Wee Jasper can be used to draw regional inferences about past rainfall and have potential to extend the record of past droughts in the Murray Darling Basin beyond the limits of historical data. Extracting such a record will enable a better understanding of the causes of multi-year droughts in the region and consequently better planning, mitigation, and resilience in the basin.