Search

Injectable poly-L-lactic acid (PLLA) is a biodegradable synthetic polymer that stimulates collagen production, leading to gradual volume restoration. The treatment of sagging skin in body areas is still a big challenge, as there are few aesthetic procedures aiming to improve it. This article provides recommendations on the use of PLLA in the treatment of skin laxity in off-face areas, as the neck, décolletage, arms, abdomen, buttocks, and thighs, including the patient selection, product preparation, and injection techniques. The use of PLLA is a promising method for the treatment of skin laxity in corporal areas, improving body contour and appearance. Further investigation is needed to better understand the efficacy and durability of PLLA in non-facial indications and to provide the best evidence for optimal patient outcomes. J Drugs Dermatol. 2019;18(9):929-935.

Businesses are struggling to stay ahead of competition in a globalized economy where there are more and stronger competitors. Managers are constantly looking for advantages that can generate benefits at low costs. One way to have such advantage is using the data about customers, demographic data, purchase history, customer behavior and preferences that can help to take better business decisions. Data Mining addresses the challenges of collecting value inside data and the ways to put that value to use for virtually any area of our lives, including business. In this paper, we address the interest of Data Mining for business and analyze three popular Open Source Data Mining Tools – KNIME, Orange and RapidMiner – considered as a good starting point for enterprises to begin exploring the power of Data Mining and its benefits.

Data Mining is a software tool dedicated to scan data repositories, generate information, and discover knowledge. Currently, the traditional data processing tools and its applications are not capable of managing the massive amounts of data available inside SMEs environments. Therefore, it is critical to use effective and efficient Data Mining tools which represent a valuable support for SMEs decision-making. In this paper we describe and analyze seven popular open source data mining tools—KEEL, KNIME, Orange, RapidMiner, R Project, Tanagra and WEKA.

In a global market the capacity to mine and analyze user data is one way for companies to be as close in time and accuracy to the needs of their users. Big Data Platforms are one solution for companies to solve the necessary challenges to accomplish these capacities. Unfortunately the number of challenges that need to be addressed, allied with the high number of different solutions proposed, has led to the creation of a high number of different platforms making it hard to name one definitive and adequate platform for companies. In this paper we compare six of the most important Big Data Open Source Platforms to help companies or organizations choose the most adequate one to their needs. We analyze the following open source platforms - Apache Mahout, MOA, R Project, Vow pal Wabbit, PEGASUS and Graph Lab Create TM.