Instant Measurement Research Articles

Indoor Air Quality and Human Health Risk Assessment in the Open-Air Classroom

Indoor air quality is associated with academic performance and harmful health effects on students and teachers who participate in the classroom. Outdoor sources always contribute to classroom air quality. This study aims to estimate the amounts of indoor and outdoor pollutants and the influence of outdoor sources on open-air classrooms in a school located in the city. A health risk assessment was applied to assess the non-carcinogenic risk to students and teachers from exposure to the pollutants in the classroom. The concentrations of indoor NO2 ranged between 46.40 and 77.83 µg/m3, which is about 0.8 times that of outdoor NO2. A strong correlation and a high indoor/outdoor (I/O) ratio (>0.5) without a source, indicated that indoor NO2 is significantly influenced by outdoor sources. The range of indoor PM2.5 concentrations was 1.66 to 31.52 µg/m3 which was influenced by meteorological conditions. The indoor PM2.5 concentrations were affected by both indoor and outdoor sources. Although the level of indoor air pollutants met the official standard, the young children were exposed to indoor air pollutants which were above the recommended limits to human health with regard to the hazard index (HI) of 1.12. Instant measures such as regularly cleaning the classrooms, zoning the students, and installation of solid and vegetation barriers are recommended to reduce the daily dose of pollutants affecting students in open-air classrooms.

Validation of the wearable sensor system - MoveSole® smart insoles

Biomechanical analysis of gait is commonly used in physiotherapy. Ground reaction forces during phases of gait is one element of kinetic analysis. In this article, we analyze if the MoveSole® smart insole is valid and accurate equipment for measuring ground reaction forces in clinical physiotherapy. MoveSole® StepLab is a mobile measurement system for instant underfoot force measurements during gait. Unique electromagnetic film (EMFI) based sensor technology and printed electronics production technology is integrated in the MoveSole® StepLab measurement system. The MoveSole® StepLab measures plantar ground reaction force distribution over the sensors and provides an estimation of the maximum total ground reaction force. We developed a two phase validation process to extract relevant parameters and compared the results to a Kistler force plate using the BioWare® analyzing program as a reference method. Our results show that MoveSole® smart insoles reach the strong level of accuracy needed in clinical work concerning highest ground reaction forces during step (Pearson correlation .822 - .875). The correlation of the time when the maximum ground reaction force occurred was moderate, e.g. during heel strike or toe-off (Pearson correlation natural gait speed .351 - .462, maximum gait speed .430). Our conclusion is that MoveSole® smart insoles are a potential tool for analyzing and monitoring gait ground reaction forces during physiotherapy processes.

P544 Point-of-care finger prick test for C-reactive protein, infliximab and adalimumab serum concentrations

Abstract Background Point-of-Care tests (POCTs) allow instant measurement of inflammatory markers and/or drug concentrations. However, currently available POCTs for infliximab (IFX) and adalimumab (ADL) serum concentrations are time consuming. Recently, a new POCT device (ProciseDx, San Diego, CA, USA) was developed which conveniently measures C-reactive protein (CRP), IFX and ADL capillary concentrations within minutes. We aimed to validate this device by comparing POCT results with conventional laboratory tests for serum CRP, IFX and ADL in patients with inflammatory bowel disease (IBD). Methods IBD patients requiring routine measurement of serum CRP, IFX or ADL were invited to participate. Along with serum collection, 20μl of capillary blood was obtained via finger prick and dispensed in a cartridge with a buffer, and placed in the POCT device providing results within two to four minutes. Forty patients were needed to validate the CRP POCT, as this assay was already previously validated in a different population. For the IFX and ADL assays, 120 patients using IFX or ADL were required to validate the POCT. Agreement between the laboratory serum assay and POCT was visualized on a scatter diagram and a Bland-Altman plot. Deming regression was calculated to demonstrate agreement. In addition, Pearson’s correlation coefficient was calculated. Results Until now, 41 patients have been enrolled for the CRP assay, 120 patients for the IFX and 46 patients for the ADL assay. Two ADL patients were sampled twice (n=48). Significant correlations were found for CRP, IFX and ADL (r=0.98, r=0.88 and r=0.86 respectively, Fig. 1). Deming regression analysis of the CRP assay resulted in a slope of 0.71 (95% CI 0.49 to 0.93) and 1.5 (95% CI -0.44 to 3.50) for the intercept. For the IFX assay, the slope was 1.1 (95% CI 0.83 to 1.3) and the intercept was 1.4 (95% CI -0.47 to 3.4). For the ADL assay, the slope was 0.97 (95% CI 0.64 to 1.3) and the intercept was 2.3 (95% CI -0.64 to 5.2). Conclusion A novel POCT using a finger prick approach provides a rapid, user friendly and reliable measurement of CRP, IFX and ADL concentrations within minutes. The capillary CRP was slightly lower than the venous serum CRP, which was consistently observed and considered clinically irrelevant in this cohort.

E-textile based wearable thermometer from WS2-quantum dots

We report here the successful operation of WS2-QD/RGO hybrid temperature sensor, which performs instant measurement like thermometer in a wide temperature range: 77–398 K, in both static- and instant mode. All this was possible by embedding WS2-QDs on electrically conducting RGO layer, synthesized on cotton textile fabric. The device is simple, scalable, flexible and cost-effective. Successful trial to monitor human body temperature is conducted with fast response- and recovery time ∼0.60 and 11.3 s with an exceptional resolution ∼0.06 K. Crucial parameters such as temperature coefficient of resistance (TCR) and thermal hysteresis (H th) were theoretically analyzed to understand the intricate mechanism behind the working of a temperature sensor; temperature sensing data at both high- and low temperatures are outstanding as well as competitive. To mention, a few of these parameters are found comparable and even superior to some of the devices as reported. This sensor device proved its flexibility and stability under various in situ mechanical deformation tests, showing its promising potential for future generation wearable health monitoring devices. To the best of our knowledge, this is the first report on WS2 in general, and WS2-QDs, in specific, based temperature sensing device and its operational demonstration as of now.

VPC-Net: Completion of 3D vehicles from MLS point clouds

As a dynamic and essential component in the road environment of urban scenarios, vehicles are the most popular investigation targets. To monitor their behavior and extract their geometric characteristics, an accurate and instant measurement of vehicles plays a vital role in traffic and transportation fields. Point clouds acquired from the mobile laser scanning (MLS) system deliver 3D information of road scenes with unprecedented detail. They have proven to be an adequate data source in the fields of intelligent transportation and autonomous driving, especially for extracting vehicles. However, acquired 3D point clouds of vehicles from MLS systems are inevitably incomplete due to object occlusion or self-occlusion. To tackle this problem, we proposed a neural network to synthesize complete, dense, and uniform point clouds for vehicles from MLS data, named Vehicle Points Completion-Net (VPC-Net). In this network, we introduce a new encoder module to extract global features from the input instance, consisting of a spatial transformer network and point feature enhancement layer. Moreover, a new refiner module is also presented to preserve the vehicle details from inputs and refine the complete outputs with fine-grained information. Given sparse and partial point clouds as inputs, the network can generate complete and realistic vehicle structures and keep the fine-grained details from the partial inputs. We evaluated the proposed VPC-Net in different experiments using synthetic and real-scan datasets and applied the results to 3D vehicle monitoring tasks. Quantitative and qualitative experiments demonstrate the promising performance of the proposed VPC-Net and show state-of-the-art results.

Network Intrusion Detection using a Deep Learning Approach

At present situation network communication is at high risk for external and internal attacks due to large number of applications in various fields. The network traffic can be monitored to determine abnormality for software or hardware security mechanism in the network using Intrusion Detection System (IDS). As attackers always change their techniques of attack and find alternative attack methods, IDS must also evolve in response by adopting more sophisticated methods of detection .The huge growth in the data and the significant advances in computer hardware technologies resulted in the new studies existence in the deep learning field, including ID. Deep Learning (DL) is a subgroup of Machine Learning (ML) which is hinged on data description. The new model based on deep learning is presented in this research work to activate operation of IDS from modern networks. Model depicts combination of deep learning and machine learning, having capacity of wide range accurate analysis of traffic network. The new approach proposes non-symmetric deep auto encoder (NDAE) for learning the features in unsupervised manner. Furthermore, classification model is constructed using stacked NDAEs for classification. The performance is evaluated using a network intrusion detection analysis dataset, particularly the WSN Trace dataset. The contribution work is to implement advanced deep learning algorithm consists IDS use, which are efficient in taking instant measures in order to stop or minimize the malicious actions.

Learn-ing-Based On-AP TCP Performance Enhancement

Data transmissions suffer from TCP’s poor performance since the introduction of the first commercial wireless services in the 1990s. Recent years have witnessed a surge of academia and industry activities in the field of TCP performance optimization. For a TCP flow whose last hop is a wireless link, congestions in the last hop dominate its performance. We implement an integral data sampling, network monitoring, and rate control software-defined wireless networking (SDWN) system. By analysing our sampled data, we find that there exist strong relationships between congestion packet loss behaviors and the instant cross-layer network metric measurements (states). We utilize these qualitative relationships to predict future congestions in wireless links and enhance TCP performance by launch necessary rate control locally on the access points (AP) before the congestions. We also implement modeling and rate control modules on this platform. Our platform senses the instant wireless dynamic and takes actions promptly to avoid future congestions. We conduct real-world experiments to evaluate its performance. The experiment results show that our methods outperform the bottleneck bandwidth and RTT (BBR) protocol and a recently proposed protocol Vivace on throughput, delay, and jitter performance at least 16.5%, 25%, and 12.6%, respectively.

Photothermal Sensing of Nano-Devices Made of Graphene Materials.

Graphene is widely used as the basic materials of nano optical devices and sensors on account of its special structures and excellent photoelectric properties. Graphene is considered as an ideal material for photodetectors because of its ultra-wide absorption spectrum from the ultraviolet to the terahertz band, ultrahigh carrier mobility and ultrafast photoreaction speed. In this study, a photothermal nano-device was made using graphene that was transferred to an electrode using an all-dry viscoelastic stamping method. The nano-device has the advantages of simplicity, high efficiency and instant measurement. This nano-device was used to measure the light absorption of graphene, and the calculated light absorption rate of graphene is basically consistent with previous research results. Experiments on irradiation at different wavelengths and thermal heating at different temperatures show that the nano-device has an excellent response to near-infrared and mid-infrared light. The conclusions provide an experimental basis for the research, design and fabrication of nano-devices, and this device can provide an effective method for detecting light and temperature in areas such as electronic components and solar cells.

THE MEASUREMENT OF THE CHOROIDAL THICKNESS DURING ORAL GLUCOSE TOLERANCE TESTS IN PREDIABETIC SUBJECTS: A SPECTRAL DOMAIN OPTICAL COHERENCE TOMOGRAPHY STUDY

Objective: The aim of this study is to investigate how acute hyperglycaemic changes affect the choroid in patients with prediabetes. Material and Method: Each subject underwent a 75 g oral glucose tolerance test (OGTT) after overnight fasting. The measurement of choroidal thickness (ChT) was done with new generation spectral domain optical coherence tomography (SD-OCT). Results: Fasting Plasma Glucose (FPG) levels of the patients with only isolated Impaired Fasting Glucose (IGT) patients are higher (all p<0.0001). Mean insulin levels were also higher in patients with prediabetes than in healthy volunteers during the entire experiment (all p<0.0001). Changes in ChT differed between the groups, a transient increase was observed in the mean ChT as well as subfoveal, nasal and temporal locations at the 500 µm distance to fovea in prediabetes individuals. While the subfoveal ChT difference was 1.52±4.11 µm (range, -11.00/24.00 µm) in prediabetes, -0.22±1.74 µm (range -2.00/8.00 µm) in the control group at the first hour of the OGTT. A transient choroidal thickening occurred in the prediabetes group, while there was no change in the healthy volunteers. Conclusion: Detecting acute hyperglycemic changes with instant measurements may help us to better understand the effect of the disease on ocular structures. 

İş Sağlığı ve Güvenliği için IoT Tabanlı Gömülü Sistem Tasarımı ve Uygulaması

The concept of IoT (Internet of Things) is defined as the communication of objects with each other over a network. With the Internet of Things, many studies have been done in different fields today. Increasingly, organizations in different industries are using the Internet of Things technology to increase efficient work, provide higher quality customer service, improve decision making, and increase the value of the business and communicate with customers. In this study, an IoT based device was developed for occupational health and safety. Physical conditions affecting occupational safety, worker health and efficient work have been taken into consideration. The physical condition parameters suitable for the workplace were determined by scanning in the literature. The optimum physical condition parameters required for occupational health were entered into the arduino uno microcontroller development board, which is widely used today, at the coding stage. The designed system used heat and humidity sensor, ldr light sensor, magnetic field sensor, mq7 carbon monoxide gas sensor and sound sensor. With these sensors on the system, instant measurements were made in a workplace where CNC vertical machining center and milling devices are frequently used. The device received the physical condition parameters of the workplace with sensors located in the device for a period of 2 months. The device received 3051 data during this time. These measured values were sent to the thingspeak website, IoT real-time data platform, with the esp8266 wifi module. The data sent to the Thingspeak website has been converted into a graphic at this address and measurement results will be instantly tracked on the internet. This system will be present in the workplace and will measure the physical condition data required for occupational health through sensors and send it to the website with the esp8266 wifi module. If these parameters exceed the optimum values, the system will give an audible warning through an alarm connected externally at the workplace. In addition, instant parameters on the thingspeak website can be monitored with smart devices thanks to the Android software thingview.

Covid 19 in Karnataka; Recent scenario and instant measures to suppress the pandemic

In Karnataka, Covid caseload has crossed one lakh mark on 27 th July 2020. July month witnessed a new record, adding at least 85 percent of all cases in the state since March 9, 2020. The Covid infection is rising at faster rate. The major reasons for rising this infection are; very lenient/absurd quarantine policy, slow rate of testing in the initial phase and poor health infrastructure and manpower under public health facilities. This status of public health facility is a inherent problem does exist before Covid 19 enters the state. The entry of this pandemic potential virus has made the system still to suffer. The poor anticipation and insufficient preparedness for Covid 19 added to already the burning fury. Lack of people cooperation also equally true. Now almost lock down is unlocked, therefore the suppressing the virus should be with an immediate extra measures. The state cannot continue lockdown for a long period as financial crisis already set in. Preparing for this pandemic does not mean we have to sideline non covid health needs. The immediate steps should be that, certain proportion of beds shall be reserved at all level of health facilities to treat the Covid and non covid patients also. The major key to suppress the virus will be, effective tracing, increasing the testing, isolating the needy and efficient treatment. The government should enhance the capacity building of our health system in terms of Covid specific infrastructure as well as manpower without delay. Mass rapid testing should be initiated especially in urban wards and ward wise Covid Care Centers (CCC) shall be established on priority base. Private hospitals shall ensure their social responsibility and ethics.

A Force Measurement System for HTS Maglev Studies

An improved force measurement system was developed for investigating high-temperature superconducting (HTS) maglev properties. The measurement system consists of assorted sensors, a 3-D sliding platform, a mechanical drive with automatic control software, and a data collecting and processing software. This system features high precision, instant measurement at the movement of the targeted HTS bulk, synchronous measurement of levitation force and guidance force, and the magnetic field. This system can be used for studying the interaction behavior between an HTS bulk and a permanent magnet guideway (PMG) or an electromagnetic guideway (EMG) of different shapes and sizes. It can realize arbitrary 3-D complex curvilinear motions. This system was built with a flexible platform and high precision force and distance sensors. As a result, the magnetic levitation characteristics of an HTS bulk above a magnet guideway can be precisely investigated with this system. In general, the aforementioned functions all have been verified by experiments.

Analysis of the Extent of Red Light Running in Minna, North-Central Nigeria

This research pursued the objectives of assessing the awareness, perception, and levels of adherence of road users to traffic rules and regulations. The study was carried out in Minna and the major signalized roads were the target of the research. The research applied the survey research methodology, which involves carrying volumetric count of vehicles running the red lights on the signalized routes. The research, therefore, found out that, majority of the violators of the traffic signals were the motorcycle riders, closely followed by the tricycle operators; the commercial vehicle owners also form a major percentage of violators of the red light rules in the city. The research, therefore, recommended that strict measures aimed at ensuring immediate compliance with the traffic signals should be implemented, through fines and sanctions on violators to impoundment of offending vehicles. The research concluded that, if instant measures are not put in place to check the menace of the red light running, it will have a serious adverse effect on the social and economic strata of the city.

42 Advancements in silage management and technology for beef and dairy cattle

Abstract In 2017, 2.6 million ha of American farmland were destined for corn silage production, which was estimated at 116.5 million tons. Data for 2018 are yet to be compiled but field observations provide insight of a difficult year for growing and harvesting conditions. In recent years, there has been a renewed interest in making the most efficient use of forage resources. Since corn silage is a predominant forage for beef and dairy cattle, most advances have focused on improving harvesting, storage and feeding methods of this crop. The harvesting process has been modified with the introduction of various designs of kernel processors; commercial laboratory data show a trend towards greater and more uniform processing score since 2010. Furthermore, the degree of processing can now be objectively evaluated by combining hydrodynamic separation and image processing software to obtain a kernel processing score in real time in field conditions. Applications of plastic film technology, such as oxygen barriers, to seal and maintain an anaerobic environment, have aroused interest due to the possibility of reducing spoilage with a concomitant increase in recovery of dry matter from the uppermost layer of a silage pile. Throughout the storage phase, it has been recognized that starch digestibility increases over time due to prolamin solubilization. Recent work with reconstituted high-moisture corn demonstrated that bacterial proteolytic activity contributes 60% to protein solubilization and that fermentation acids play a minor role in this process. The field of inoculants has also seen innovations in terms of application equipment and species and strain selection, with Lactobacillus buchneri becoming relevant for certain conditions that require longer aerobic stability. During feed-out, dry matter monitoring can be done with instant measurements using NIR technology in various applications ranging from tractor-mounted instruments to hand-held devices. Even though silage making has been a longstanding practice, specific aspects of the process have evolved over time and are worthy of consideration to improve forage management and quality in support of ruminant nutrition.

Assessment of cloudiness for use in environmental marine research

ABSTRACTA very simple algorithm with which to assess cloudiness over the Baltic Sea has been developed. The algorithm involves analysis of cloud longwave emissivity, supplemented with available information on shortwave emissions. The simple classification method is based on the split-window technique and compares a signal recorded in the neighbouring spectral bands with results of cloud-free atmosphere modelling. The algorithm was tested using data from the SEVIRI (Spinning Enhanced Visible and InfraRed Imager) satellite radiometer, but the method can be easily implemented for other data sources. Compatibility with instant shipborne radiation measurements was obtained. The effectiveness of the comparison was determined from the Hanssen–Kuiper score. The CM SAF (Satellite Application Facility on Climate Monitoring) data comparison shows that the system correctly classified areas in 88%, the satellite map accuracy was 46% with a 54% overvaluation error. The accuracy of the detection system was 44%, and the underestimation error was 56%. The comparison of modelling results showed 71% of correctly classified areas, the accuracy of the satellite map was 35%, and the repricing error was 65%. The accuracy of the detection system was 36%, and the underestimation error was 64%. The concordance of satellite measurements (Cohen’s kappa coefficient) was at a level of 98% and 99% between the satellite and model. Statistically, the analysis is based on the results of measurements for the Baltic Sea basin in 2015. The obtained data on the monthly cloudiness was compared with the operational, model and lidar data. A difference between the solution proposed and the approaches derived from prognostic models is demonstrated. The regional scale solution is shown to be a better representation of the true state of the atmosphere, compared to global-scale models. The results obtained show cloudiness assessments to differ depending on the model applied (CM SAF, UMPL – Unifed Model for Poland). The average annual cloudiness of the Baltic Sea is around 58.5%. It is a repeatable value by other solutions based on various methods and sources (MODIS – Moderate Resolution Imaging Spectroradiometer), including lidar ones (CALIPSO – Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation). In addition, a potential for applying the regional cloudiness assessment to estimate the top-down components of the radiation budget is illustrated.

Practical issues on the use of drones for construction inspections

The aging and deterioration of structures such as bridges or buildings is becoming an urgent social issue; regular inspections for the preservation of the structures are needed, but it means high cost especially in terms of safety for workers due to the difficulty to access. Visual inspection of workers can be replaced by using basic drones, which share many advantages such as speed, safety for the workers, cost-effectiveness, share-ability with more stakeholders instantly and manoeuvrability by making use of automated flights. A visual inspection made by drone is the first part of a complex survey campaign, and its use allows planning experimental investigation for diagnostic. This study analyses both the positive and negative aspects of the use of drones for structural inspection, underlying the low cost, immediacy, instant measurement and the possibility of developing a 3D model, with an acceptable level of definition and reliable for a diagnostic process. Two application examples are proposed.

Technical Accuracy Based on Efficiency Algorithm for Measuring Standing Wave Ratio in Wireless Sensor Network

In telecommunication, antenna impedance matching plays a crucial role in a power transmission and broadcasting system. The existing network analyzer is imprecise for antenna impedance matching. A simple and an effective new technique based on an efficiency algorithm, which uses a random network coding and a low-density parity-check code is proposed in order to measure the standing wave ratio of a broadcasting antenna system in a wireless sensor network. It is shown that the proposed technique maximizes the instant measurement accuracy of the broadcasting/transmitting power at the radio frequency antennas input. In addition, measurement and calculation results show the potentials of the proposed technical accuracy for Measuring Standing Wave Ratio.

Analysis of distributions of indoor radon concentrations in the regions of the Russian Federation

During 2001–2017 more than 800 thousand records containing the results of measurements of radon concentration taken in 78 regions of Russia were accumulated in the Federal databank of radiation doses to the population of the Russian Federation. The paper presents the procedure and results of the first data analysis carried out to check the conformity of radon concentrations in the regions of Russia with the lognormal distribution and to calculate the parameters of these distributions. The procedure included verification and validation of data, plotting the frequency distribution histograms and Q-Q plots (normal probability plots) and the use of some methods of elimination of plateaus on the Q-Q plots and the distribution recovery. As a result, in 74 of 78 analyzed regions radon concentrations conform quite well or almost perfect to a lognormal distribution up to a certain level (this level ranged from 55 to 4915 Bq/m3). For all 78 regions geometric means with 95% confidence intervals, geometric standard deviations and arithmetic means were calculated. It should be noted that due to the fact that the Federal databank is a database containing results of measurements taken with different techniques (instant measurements, charcoal canisters, radon monitors and etched track detectors), the lognormal distributions for most regions are in fact contaminated distributions, and currently it is impossible to calculate the parameters of separate distributions that form the mixture. The results show that dose assessment based on arithmetic means could lead to an overestimation of the doses from radon up to 2.1 times compared to that based on geometric means. The calculated medians can also be used for risk assessment purposes.

Corrosion at low moisture content in both carbonated and chloride polluted concrete – Villa E-1027, a case study

Corrosion in reinforced concrete is generally attributed to either carbonation or chloride presence in the vicinity of the bars. But in the field of cultural heritage, especially for the most ancient monuments, it is not rare to encounter both carbonated and chloride polluted concrete, inducing heavy corrosion, as was the case in the Villa E-1027 in Roquebrune-Cap-Martin, on the French Mediterranean seashore. The villa was designed by Eileen Gray and Jean Badovici between 1926 and 1929. Due to aggressive environmental conditions and a period of dereliction, the concrete of the villa was quite heavily decayed and a deep restoration was led between 2000 and 2006. But after a little more than 10 years, and despite active maintenance, the villa is again facing corrosion induced decay. Prior to the definition of a new restoration protocol, to better evaluate the corrosion activity, in 2017 a permanent monitoring of moisture and temperature both in the air and in the concrete was installed. In the meantime, a series of instant electrochemical measurements was performed from 2017 to 2018. A first analysis of the results of the monitoring and the non-destructive tests clearly evidences that probably due to the conjunction of the carbonation of the concrete and external active chloride pollution, corrosion can happen at quite low moisture content.

Overcoming challenges in mainstream Anammox applications: Utilization of nanoscale zero valent iron (nZVI)

Although Anammox process is a proven technology for sidestream nitrogen removal, the process faces challenges for mainstream applications in sewage treatment plants (STPs). The aim of this study was to investigate the effect of zero valent iron nanoparticles (nZVI) on process performance to eliminate confronts for mainstream applications. An SBR (sequencing batch reactor) system was fed with various nZVI concentrations (0.04–5000 ppb) within 310 days of operation. Ammonium (NH4+­N) and nitrite (NO2−­N) removal rates showed 58% increase in daily measurements and 73% increase in instant measurements. Specific Anammox Activity (SAA) was noticeably higher on the days the system was exposed to nZVI compared to the unexposed days. EPS secretion, which enhances granulation of Anammox bacteria was favored by nZVI. Despite lower sludge retention time (SRT) values, the fraction of Anammox bacteria in total bacteria reached to 91–92% implying a boosting effect of nZVI on growth rate of Anammox bacteria. High Resolution Melting (HRM) analyses showed that four distinct clades were present in the reactor.