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Electrochemical treatment of wastewater containing NaCl. Methods to increase the removal of organic pollutants and minimize the formation of toxic by…

In many cases, wastewater can contain both organic pollutants and NaCl. Electrochemical methods allow to treat very effectively organic pollutants in the presence of NaCl. However, the utilization on an applicative scale of this route is limited by the fact that usually the high removals of organics is coupled with the generation of significant amounts of chlorinated by-products. The role of several operative parameters on the performances of the process was systematically evaluated using phenol as a model organic pollutant. It was shown that the removal of phenol and TOC and the generation of many by-products including chlorophenols, chloroacetic acids, chlorate and perchlorate dramaticall…

Prefazione

2015

Vengono presentati contenuti e le ricerche sulle “Mobilità umane” discusse e spprofonditr durante la 8° edizione della Summer school in “Migranti, Diritti Umani e Democrazia”, scuola estiva di studi avanzati promossa Università degli studi di Palermo, che si è svolta a Favignana (TP) nel 2014.

Weekly Cisplatin and Volumetric-Modulated Arc Therapy With Simultaneous Integrated Boost for Radical Treatment of Advanced Cervical Cancer in Elderly…

2016

Background: To evaluate the feasibility and clinical preliminary results of weekly cisplatin and volumetric-modulated arc therapy to the pelvis with simultaneous integrated boost to macroscopic disease in a cohort of elderly patients. Materials and Methods: Inclusion criteria of this prospective study were age ≥70 years, Karnofsky performance status 70 to 100, locally advanced histologically proven squamous cervical carcinoma, and patients unable to undergo brachytherapy. Radiation doses prescribed were 66 Gy to the macroscopic disease and 54 Gy to the pelvic nodes in 30 fractions. Weekly cisplatin dose was 40 mg/mq. Results: A total of 30 patients were recruited. Median follow-up was 32 mo…

A new perspective of innovation toward a non-contact society - Amazon's initiative in pioneering growing seamless switching

2022

This paper elucidates the inside of the black box of Amazon's unique research and development (R&D) dynamism that made it the world's top R&D leader by transforming “routine or periodic alterations” into “significant improvement” during the R&D process. This dynamism also succeeded in transforming the COVID-19 pandemic period into a springboard for new innovation, leading to Amazon's notable growth notwithstanding the pandemic. An empirical analysis using a techno-economic approach focusing on Amazon's endeavor to develop a series of advanced digital fashions (ADFs) and online-based luxury brands (neo-luxury) before and during the COVID-19 pandemic was conducted. Amazon became a global appa…

Two large steps forward, one small step back

2018

In 2017, the FDA approved regorafenib and nivolumab for the treatment of patients with hepatocellular carcinoma following prior sorafenib treatment, opening the door for an effective systemic second-line therapy in advanced disease. By contrast, the addition of sorafenib to transarterial chemoembolization with drug-eluting beads did not improve progression-free survival in the intermediate disease stage.

Postgraduate Students’ Experience of Using a Learning Management System to Support Their Learning: A Qualitative Descriptive Study

2021

Introduction Educational institutions worldwide have implemented learning management systems (LMSs) to centralise and manage learning resources, educational services, learning activities and institutional information. LMS has mainly been used by teachers as storage and transfer of course material. To effectively utilise digital technologies in education, there is a need for more knowledge of student experiences with digital technology, such as LMSs and especially regarding how LMSs can contribute to student engagement and learning. Objective This study aimed to gain knowledge about postgraduate nursing students’ experiences with the use of LMS in a subject in an advanced practice nursing ma…

Monitoring Water Surface and Level of a Reservoir Using Different Remote Sensing Approaches and Comparison with Dam Displacements Evaluated via GNSS

2018

Remote sensing allowed monitoring the reservoir water level by estimating its surface extension. Surface extension has been estimated using different approaches, employing both optical (Landsat 5 TM, Landsat 7 ETM+ SLC-Off, Landsat 8 OLI-TIRS and ASTER images) and Synthetic Aperture Radar (SAR) images (Cosmo SkyMed and TerraSAR-X). Images were characterized by different acquisition modes, geometric and spectral resolutions, allowing the evaluation of alternative and/or complementary techniques. For each kind of image, two techniques have been tested: The first based on an unsupervised classification and suitable to automate the process, the second based on visual matching with contour lines…

A precise stroke classification for evaluation of ischemic stroke subtypes and their relation with diabetes: is TOAST the best?

2010

To The Editor: Regarding the study by Turin et al1 performed to estimate the secular time trends in incidence using a population-based stroke registry in Japan, we discuss some issues of potential interest. First, have the authors classified stroke subtypes according TOAST classification or Oxfordshire classification? No mention has been made in the text concerning the classification methodology of ischemic stroke. It is conceivable that applying the TOAST classification2 of ischemic stroke (a classification with clinical, pathophysiological, anatomic, and instrumental basis that is easily applicable and widely validated) could provide a more precise selection of patients with lacunar strok…

Open data from the first and second observing runs of advanced LIGO and advanced Virgo

2021

Abbot, Rich, et al. (Virgo and MAGIC Collaboration)

Issues in synthetic data generation for advanced manufacturing

2017

To have any chance of application in real world, advanced manufacturing research in data analytics needs to explore and prove itself with real-world manufacturing data. Limited access to real-world data largely contrasts with the need for data of varied types and larger quantity for research. Use of virtual data is a promising approach to make up for the lack of access. This paper explores the issues, identifies challenges, and suggests requirements and desirable features in the generation of virtual data. These issues, requirements, and features can be used by researchers to build virtual data generators and gain experience that will provide data to data scientists while avoiding known or …