Mavi lozano biography definition

  • Mavi Lozano is a

    • Abstract

    The COVID-19 pandemic is a global health problem that is radically transforming public and private healthcare organizations around the world, negatively affecting the rehabilitative treatments of non-COVID pathologies as well. In this situation, it becomes crucial to be able to guarantee the continuity of care also to all those patients with neurodegenerative diseases unable to reach healthcare services. Remote communication technologies are gaining momentum as potentially effective options to support health care interventions—including cognitive rehabilitation—while patients can stay safely at home. In this context, we are implementing HomeCoRe (i.e., Home Cognitive Rehabilitation software) in order to offer an innovative approach and a valid support for home-based cognitive rehabilitation in neurodegenerative diseases, such as mild cognitive impairment and early dementia. HomeCoRe has been developed within a research project between engineers and clinicians in order to obtain a usable and safe cognitive rehabilitation tool. This software has multiple advantages for patients and therapists over traditional approaches, as shown in its use in hospital settings. HomeCoRe could then represent an opportunity for accessing cognitive rehabilitation in all those situations where patients and therapists are not in the same location due to particular restrictions, such as COVID-19 pandemic.

    Keywords: telerehabilitation, telemedicine, information and communication technologies, COVID-19 pandemic, cognitive impairment, cognitive rehabilitation, cognitive training, neurodegenerative diseases

    Introduction

    With the rise in life expectancy during the last decades, we are witnessing a steady increase in the number of older adults in the total population with a high risk of developing neurodegenerative diseases (1). In particular, among these, dementia represents one of the major health problems in older adults, with progressive deterioration of cognition, daily fu

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    • Professor Ali Emrouznejad

    Noureddine Boustani, Ali Emrouznejad, Roya Gholami, Ozren Despic, Athina Ioannou (2023)Improving the predictive accuracy of the cross-selling of consumer loans using deep learning networks, In: Annals of Operations Research339pp. 613-630 Springer

    DOI: 10.1007/s10479-023-05209-5

    Traditionally most cross-selling models in retail banking use demographics information and interactions with marketing as input to statistical models or machine learning algorithms to predict whether a customer is willing to purchase a given financial product or not. We overcome with such limitation by building several models that also use several years of account transaction data. The objective of this study is to analysis credit card transactions of customers, in order to come up with a good prediction in cross-selling products. We use deep-learning algorithm to analyze almost 800,000 credit cards transactions. The results show that such unique data contains valuable information on the customers’ consumption behavior and it can significantly increase the predictive accuracy of a cross-selling model. In summary, we develop an auto-encoder to extract features from the transaction data and use them as input to a classifier. We demonstrate that such features also have predictive power that enhances the performance of the cross-selling model even further.

    Hongshan Ai, Xiaoqing Tan, Sachin Kumar Mangla, Ali Emrouznejad, Fan Liu, Malin Song (2025)Renewable Energy Transition and Sustainable Development: Evidence from Chinaa, In: Energy economics143108232 Elsevier

    DOI: 10.1016/j.eneco.2025.108232

    The mitigation of climate change is essential for sustainable development, and the transition to renewable energy plays a vital role in this process. Policies aimed at promoting the adoption of renewable energy could enhance sustainable development. This study measures sustainable development by using green total factor productivity (GTFP), which captures the capacit

    Mavi Lozano Biography, Latest

    Mavi Lozano is a Filipino actor, singer and model. In 2016, he rose to fame after winning the singing competition Spogify Ft. The Singing Baes, a segment of GMA noontime variety show Eat Bulaga. Jump to movie list.

    Personal Information
    Real Name –> Martin Maverick Lozano
    Nickname –> Mavi, Mav, Mavee
    Birth Date –> July 3, 1993 (Age 28)
    Birthplace –> Quezon City, Metro Manila, Philippines
    Mother –> Actress and Producer Elaine Carriedo Lozano
    School –> University of the Philippines – Diliman

    Television Programs
    2016 – #ParangNormal Activity
    2016 – Eat Bulaga (Spogify segment as a contestant)
    2011 – Bangis

    Movie List
    2019 – Promdi
    2016 – Magtanggol
    2012 – El Presidente
    2012 – Flames of Love
    2009 – When I Met You
    2008 – My Best Friend’s Wedding

    Song List
    Yugto

    RELATED: Biography of Allen Dizon; Sam Milby; Richard Gutierrez

    See also: List of Famous Filipino Actors


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