Tannery effluent treatment by nanofiltration, reverse osmosis and chitosan modified membranes

UID/QUI/50006/2019The objective of this work is to develop an appropriate technology for environmentally sound membrane-based purification of a tannery effluent assuring, simultaneously, the recovery of chromium, considered as the most hazardous inorganic water pollutant extensively used in leather tanning. A comparison between the permeate fluxes obtained during treatment of a synthetic tannery effluent through nanofiltration (NF270 and NF90 membranes) and reverse osmosis (BW30 and SW30) membranes was first performed. Then, a dedicated polymeric membrane was prepared by coating chitosan (cs) on a polyethersulfone (PES) microfiltration membrane (cs-PES MFO22) support. The resulting membrane was characterized by Fourier Transforms Infrared Spectroscopy Attenuated Total Reflectance (FTIR-ATR), Emission Scanning Electronic Microscopy (SEM) to confirm the process of surface modification and cross-linking of chitosan with glutaraldehyde. This membrane was found to be highly effective for chromium removal (>99%), which was more than eight times higher in reference to monovalent cations (e.g., Na+ and K+) and more than six times higher in reference to the divalent cations (Mg2+ and Ca2+) studied. The reverse osmosis permeate conforms to local Algerian regulations regarding being discharged directly into the natural environment (in this case, Reghaia Lake) or into urban sewers linked to wastewater biological treatment stations. While the SW30 membrane proved to be the most effective for purification of the tannery effluent, the chitosan modified membrane proved to be appropriate for recovery of chromium from the reverse osmosis concentrate.publishersversionpublishe

Towards the Creation of Interdisciplinary Consumer-Oriented Security Metrics

Information systems are evolving: IoT devices and Cyber-physical systems (CPS) impact on the security of assets and people in the real world. Old cybersecurity approaches, which focused on seeing humans 'as a problem', could be substitute by new paradigms of seeing humans 'as a solution'. Therefore, consumers awareness will be one of the building blocks, as well as initiative that aim to create a set of standardized security metrics that can evaluate the security of systems. In order to do that, researchers need to study which are the essential factors that our future metrics should focus on. In this paper we analyzed this problem over CPS while assuming the consumer perspective. We summarize the state of the art in security metrics and advocate the need for a research effort aimed at taking the field to a new level of formal soundness and practical usability by considering interdisciplinary implications on cybersecurity

Poster: Continual Network Learning

We make a case for in-network Continual Learning as a solution for seamless adaptation to evolving network conditions without forgetting past experiences. We propose implementing Active Learning-based selective data filtering in the data plane, allowing for data-efficient continual updates. We explore relevant challenges and propose future research directions

A critical look at studies applying over-sampling on the TPEHGDB dataset

Preterm birth is the leading cause of death among young children and has a large prevalence globally. Machine learning models, based on features extracted from clinical sources such as electronic patient files, yield promising results. In this study, we review similar studies that constructed predictive models based on a publicly available dataset, called the Term-Preterm EHG Database (TPEHGDB), which contains electrohysterogram signals on top of clinical data. These studies often report near-perfect prediction results, by applying over-sampling as a means of data augmentation. We reconstruct these results to show that they can only be achieved when data augmentation is applied on the entire dataset prior to partitioning into training and testing set. This results in (i) samples that are highly correlated to data points from the test set are introduced and added to the training set, and (ii) artificial samples that are highly correlated to points from the training set being added to the test set. Many previously reported results therefore carry little meaning in terms of the actual effectiveness of the model in making predictions on unseen data in a real-world setting. After focusing on the danger of applying over-sampling strategies before data partitioning, we present a realistic baseline for the TPEHGDB dataset and show how the predictive performance and clinical use can be improved by incorporating features from electrohysterogram sensors and by applying over-sampling on the training set

Possible causes of fever among patients with blood smear negative for malaria parasites at Bombo Regional Referral Hospital in Tanga, Tanzania

Background: Due to its diverse and non‐specific clinical presentations, malaria has been associated with most infections causing febrile illnesses. Despite being non-specific, clinical diagnosis is still the main method of malaria diagnosis in most health facilities in sub-Saharan Africa. This study aimed to establish the probable diagnoses among fever cases admitted at Bombo Hospital in north-eastern Tanzania.Methods: This study involved patients admitted in Medical and Paediatric wards with a clinical diagnosis of severe malaria but having negative blood smears (BS) for malaria parasites. Finger prick blood specimens were collected for blood smear microscopy and rapid diagnostic test. Blood and urine cultures were done for all specimens collected.  Some patients were also screened for HIV infection.Results: A total of 227 patients were recruited and the majority (62.1%) were under-five children. Out of the 227 blood specimens cultured, 25 (11.0%) grew different bacteria species. Staphylococcus aureus was the most frequent pathogen (68.0%), followed by S. pneumoniae (24.0%), Salmonella species (4.0%) and Streptococcus pyogenes (4.0%).  Only 7 (3.2%) out of 219 urine specimens cultured showed growth of Escherichia coli, Pseudomonas aeruginosa, S. aureus and Klebsiella pneumoniae. Of the 215 patients screened for HIV, 17 (7.9%) had positive reaction.Conclusion: The findings indicate that S. aureus and S. pneumoniae as the commonest bacteria isolates from blood and P. aeruginosa, S. aureus and K. pneumoniae from urine cultures. These bacteria and HIV should be considered as important contributors to febrile illness cases among patients found with negative BS for malaria parasites

Quantum Instrumentation Control Kit -- Defect Arbitrary Waveform Generator (QICK-DAWG): A Quantum Sensing Control Framework for Quantum Defects

Quantum information communication, sensing, and computation often require complex and expensive instrumentation resulting in a large entry barrier. The Quantum Instrumentation Control Kit (QICK) overcomes this barrier for superconducting qubits with a collection of software and firmware for state-of-the-art radio frequency system on chip (RFSoC's) field programmable gate architecture (FPGA) chips. Here we present a software and firmware extension to QICK, the Quantum Instrumentation Control Kit - Defect Arbitrary Waveform Generator (QICK-DAWG), which is an open-source software and firmware package that supports full quantum control and measurement of nitrogen-vacancy defects in diamond and other quantum defects using RFSoC FPGAs. QICKDAWG extends QICK to the characterization of nitrogen-vacancy defects and other diamond quantum defects by implementing DC-1 GHz readout, AOM or gated laser control, and analog or photon counting readout options. QICK-DAWG also adds pulse sequence programs and data analysis scripts to collect and characterize photoluminescence (PL) intensity, optically detected magnetic resonance (ODMR) spectra, PL readout windows, Rabi oscillations, Ramsay interference spectra, Hahn echo spin-spin relaxation times T$_2$, and spin-lattice relaxation times T$_1$. We demonstrate that QICK-DAWG is a powerful new paradigm of open source quantum hardware that significantly lowers the entry barrier and cost for quantum sensing using quantum defects.Comment: 8 pages, 1 figure, GitHub https://github.com/sandialabs/qick-daw

Incidence, mortality, and burden of malaria and its geographical distribution in Iran during 2002-2015

Background: This study aimed at estimating the incidence, mortality, burden, and geographical distribution of malaria between 2002 and 2015 in Iran. Methods: DALYs index was used to estimate the burden of malaria. DALYs-related malaria was calculated using a method developed by (WHO) for investigating the Global Burden of Disease (GBD); it was calculated through adding Years of Life Lost (YLLs) due to premature death to Years Lived with Disability (YLDs).The data on the incidence and mortality were collected from the malaria surveillance system in the Center for Communicable Diseases Control (CCDC), Ministry of Health and Medical Education (MOHME). Results: The incidence of malaria had a decreasing trend over the studied period and it reduced from 15378 cases in 2002 to 777 cases in 2015. Overall, 28 cases of mortality were observed between 2002 and 2015. In addition, disease burden decreased from 90.78 DALYs in 2002 to 22.38 DALYs in 2015.Overall, there were 949.2 DALYs due to malaria from 2002 to 2015. The incidence and burden of malaria were not equally distributed among all the provinces in Iran and some areas were suffering from the highest burden of the disease. Conclusion: The incidence and burden of malaria have had a decreasing trend over the years of the study and Iran has little to do in order to eradicate malaria. Since the disease is not equally distributed among various provinces of Iran, health policymakers must direct health resources towards specific areas of the country (Sistan and Baluchistan, Kerman, and Hormozgan) with high concentration of cases of malaria. © 2019, Iranian Journal of Public Health. All rights reserved

Global consortium for the classification of fungi and fungus-like taxa

The Global Consortium for the Classification of Fungi and fungus-like taxa is an international initiative of more than 550 mycologists to develop an electronic structure for the classification of these organisms. The members of the Consortium originate from 55 countries/regions worldwide, from a wide range of disciplines, and include senior, mid-career and early-career mycologists and plant pathologists. The Consortium will publish a biannual update of the Outline of Fungi and fungus like taxa, to act as an international scheme for other scientists. Notes on all newly published taxa at or above the level of species will be prepared and published online on the Outline of Fungi website (https://www.outlineoffungi.org/), and these will be finally published in the biannual edition of the Outline of Fungi and fungus-like taxa. Comments on recent important taxonomic opinions on controversial topics will be included in the biannual outline. For example, ‘to promote a more stable taxonomy in Fusarium given the divergences over its generic delimitation’, or ‘are there too many genera in the Boletales?’ and even more importantly, ‘what should be done with the tremendously diverse ‘dark fungal taxa?’ There are undeniable differences in mycologists’ perceptions and opinions regarding species classification as well as the establishment of new species. Given the pluralistic nature of fungal taxonomy and its implications for species concepts and the nature of species, this consortium aims to provide a platform to better refine and stabilise fungal classification, taking into consideration views from different parties. In the future, a confidential voting system will be set up to gauge the opinions of all mycologists in the Consortium on important topics. The results of such surveys will be presented to the International Commission on the Taxonomy of Fungi (ICTF) and the Nomenclature Committee for Fungi (NCF) with opinions and percentages of votes for and against. Criticisms based on scientific evidence with regards to nomenclature, classifications, and taxonomic concepts will be welcomed, and any recommendations on specific taxonomic issues will also be encouraged; however, we will encourage professionally and ethically responsible criticisms of others’ work. This biannual ongoing project will provide an outlet for advances in various topics of fungal classification, nomenclature, and taxonomic concepts and lead to a community-agreed classification scheme for the fungi and fungus-like taxa. Interested parties should contact the lead author if they would like to be involved in future outlines