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Copyright of Modern Educational Technology is the property of Editorial Board of Modern Educational Technology, Tsinghua University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Science Technology & Engineering is the property of Chinese Society of Technology Economics and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Hirst-type volumetric spore traps are used across the globe and are the current standard instrument for monitoring pollen. While they suffer from various issues related to sampling, measurement, and human error, they are, nevertheless, relatively cost-efficient and robust instruments that have been in use for decades. They are also the only reference against which newer instruments can be directly evaluated and it is thus important to understand and quantify all errors to make fair comparisons. Here, we investigate the variability across three Hirst-type traps run in parallel for three months during the main pollen season in Payerne, Switzerland. A variety of temporal resolutions is studied. Overall, daily average values show median relative differences of 16% for total pollen (inter-quartile range (IQR) = 8–32%) and between 23 and 67% for the top three taxa considered. The values are identical for total pollen when only concentrations > 10 pollen grains/m3 are considered, but decrease notably for the individual taxa investigated, with median relative differences ranging 14–30%. At the 2-hourly resolution, there is considerably more variability between the three samplers, with median relative differences of 42% for total pollen (IQR = 20–88%) and 62–120% for the top three taxa, respectively. Again, when the lowest concentrations are not included, these differences decrease somewhat to 40% for total pollen (IQR = 19–78%) and 41–56% for the top three taxa, respectively. Observations of low concentrations below 10 pollen grains/m3 therefore have a large impact on the measurement uncertainty: for daily average total pollen concentrations there are differences of over 100% between the three samplers, and for individual taxa differences reach up to 200%, the maximum value possible in terms of pairwise comparisons. [ABSTRACT FROM AUTHOR]

Interest is growing in potable reuse in response to water scarcity and the desire for sustainable supplies. While potable reuse systems must control a variety of physical, chemical, and microbiological contaminants, human enteric viruses are particularly concerning and drive process performance objectives due to their often‐high occurrence in source waters, small size, potential resistance to treatment, and laborious methods to determine infectivity. This paper reviews the alignment of online monitoring practices with the mechanisms and time scales of the various barriers for enteric viruses. While there are numerous studies and reviews of individual barriers, no other review has been identified that covers operational monitoring of the entire potable reuse system. This paper also provides a critical assessment of the efficacy of current practices for operational and verification monitoring of the integrity of barriers to enteric viruses in potable reuse systems. The prevalence of human enteric viruses in wastewater and associated challenges of quantifying them through treatment are discussed within the risk management frameworks currently in use or under development for potable reuse systems. Monitoring approaches are then reviewed throughout the potable reuse water cycle. Current monitoring practices are compared with treatment process mechanisms and time scales, for the treatment barriers of biological wastewater treatment, membrane bioreactors, microfiltration/ultrafiltration, reverse osmosis, ultraviolet irradiation/advanced oxidation, ozonation, granular media/biologically active filtration, and chlorination. Monitoring and pathogen removal mechanisms are also reviewed for both environmental and engineered buffers. Implications are then discussed for future areas of research in potable reuse. [ABSTRACT FROM AUTHOR]

The rising severity and frequency of wildfires in recent years in the United States have raised numerous concerns regarding the improvement in wildfire emergency response management and decision-making systems, which require operational high temporal and spatial resolution monitoring capabilities. Satellites are one of the tools that can be used for wildfire monitoring. However, none of the currently available satellite systems provide both high temporal and spatial resolution. For example, GOES-17 geostationary satellite fire products have high temporal (1–5 min) but low spatial resolution (≥2 km), and VIIRS polar orbiter satellite fire products have low temporal (~12 h) but high spatial resolution (375 m). This work aims to leverage currently available satellite data sources, such as GOES and VIIRS, along with deep learning (DL) advances to achieve an operational high-resolution, both spatially and temporarily, wildfire monitoring tool. Specifically, this study considers the problem of increasing the spatial resolution of high temporal but low spatial resolution GOES-17 data products using low temporal but high spatial resolution VIIRS data products. The main idea is using an Autoencoder DL model to learn how to map GOES-17 geostationary low spatial resolution satellite images to VIIRS polar orbiter high spatial resolution satellite images. In this context, several loss functions and DL architectures are implemented and tested to predict both the fire area and the corresponding brightness temperature. These models are trained and tested on wildfire sites from 2019 to 2021 in the western U.S. The results indicate that DL models can improve the spatial resolution of GOES-17 images, leading to images that mimic the spatial resolution of VIIRS images. Combined with GOES-17 higher temporal resolution, the DL model can provide high-resolution near-real-time wildfire monitoring capability as well as semi-continuous wildfire progression maps. [ABSTRACT FROM AUTHOR]

The contamination of water used in post‐harvest handling and processing operations of fresh and frozen fruit, vegetables and herbs (ffFVHs) is a global concern. The most relevant microbial hazards associated with this water are: Listeria monocytogenes, Salmonella spp., human pathogenic Escherichia coli and enteric viruses, which have been linked to multiple outbreaks associated with ffFVHs in the European Union (EU). Contamination (i.e. the accumulation of microbiological hazards) of the process water during post‐harvest handling and processing operations is affected by several factors including: the type and contamination of the FVHs being processed, duration of the operation and transfer of microorganisms from the product to the water and vice versa, etc. For food business operators (FBOp), it is important to maintain the microbiological quality of the process water to assure the safety of ffFVHs. Good manufacturing practices (GMP) and good hygienic practices (GHP) related to a water management plan and the implementation of a water management system are critical to maintain the microbiological quality of the process water. Identified hygienic practices include technical maintenance of infrastructure, training of staff and cooling of post‐harvest process water. Intervention strategies (e.g. use of water disinfection treatments and water replenishment) have been suggested to maintain the microbiological quality of process water. Chlorine‐based disinfectants and peroxyacetic acid have been reported as common water disinfection treatments. However, given current practices in the EU, evidence of their efficacy under industrial conditions is only available for chlorine‐based disinfectants. The use of water disinfection treatments must be undertaken following an appropriate water management strategy including validation, operational monitoring and verification. During operational monitoring, real‐time information on process parameters related to the process and product, as well as the water and water disinfection treatment(s) are necessary. More specific guidance for FBOp on the validation, operational monitoring and verification is needed. [ABSTRACT FROM AUTHOR]

Time series analysis is a method of key importance for systems of various hierarchies' economic security studies. This article's main goal is to develop an economic security rapid indicators system, introducing threshold values and utilizing indices with a one-month sampling period, and its approbation during Russia's economic security operational monitoring. In order to develop such a system, the authors accumulated economic security world experience including reliability, visibility and tree structure principles. The authors' monitoring system includes four spheres: real economy, social, monetary and foreign economic, each of which contains three indicators. In order to organize economic security monitoring, it is proposed to use the index method, which converts indicators into a dimensionless form with integral values in subsequent calculations. Based on integral indices values, the economic security generalized index is synthesized, which can be used to analyze a system's development trends. We present economic security normalized indicators and integral indices dynamics for the years 2020–2022, which show two crises dynamics. The first is due the COVID-19 pandemic, while the second is associated with economic sanctions against Russia, implemented in 2022. The proposed economic security operational monitoring indicators system can be used effectively in the government's practical tasks in order to ensure the required level of economic security. This is especially true for rapid diagnosis of crisis phenomena in countries and individual regions. [ABSTRACT FROM AUTHOR]

CONQUER is a pilot blast monitoring program that monitors, quantifies, and reports to military units the training-related blast overpressure exposure of their service members. Overpressure exposure data are collected using the BlackBox Biometrics (B3) Blast Gauge System (BGS, generation 7) sensors mounted on the body during training. To date, the CONQUER program has recorded 450,000 gauge triggers on monitored service members. The subset of data presented here has been collected from 202 service members undergoing training with explosive breaching charges, shoulder-fired weapons, artillery, mortars, and 0.50 caliber guns. Over 12,000 waveforms were recorded by the sensors worn by these subjects. A maximum peak overpressure of 90.3 kPa (13.1 psi) was recorded during shoulder-fired weapon training. The largest overpressure impulse (a measure of blast energy) was 82.0 kPa-ms (11.9 psi-ms) and it was recorded during explosive breaching with a large wall charge. Operators of 0.50 caliber machine guns have the lowest peak overpressure impulse (as low as 0.62 kPa-ms or 0.09 psi-ms) of the blast sources considered. The data provides information on the accumulation of blast overpressure on service members over an extended period of time. The cumulative peak overpressure, peak overpressure impulse, or timing between exposures is all available in the exposure data. [ABSTRACT FROM AUTHOR]

Ultrasonic sensors are one of the most common automatic monitoring methods in operational snow depth monitoring with reliable results. On the other hand, there is significant uncertainty when measuring small snow depths (<2 cm), thus it cannot provide binary snow presence (on/off) information. The use of webcams in monitoring snow cover has proven to be successful in recent studies and applications. In this study, we applied an adaptive thresholding technique on images from webcams to obtain reliable snow on/off information to complement the ultrasonic snow depth measurements. Camera and ultrasonic sensor data from two weather stations in Finland were studied. The webcam data was processed using FMIPROT (Finnish Meteorological Institute Image Processing Tool) software, operating in a cloud computing environment, which can generate near real-time data. Our results indicate that webcam-derived data can be successfully used for quality control or as auxiliary data to support operational ultrasonic sensor measurements and provide a cost-effective improvement to operational monitoring capabilities. Webcam monitoring is especially useful during the melting season when the snow depth is below 15 mm, with accuracy values between 72% and 94%. [ABSTRACT FROM AUTHOR]

Copyright of Bodenkultur: Journal for Land Management, Food & Environment is the property of Sciendo and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Engineering for Thermal Energy & Power / Reneng Dongli Gongcheng is the property of Journal of Engineering for Thermal Energy & Power and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Engineering for Thermal Energy & Power / Reneng Dongli Gongcheng is the property of Journal of Engineering for Thermal Energy & Power and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This article proposes a Rayleigh’s quotient–based damage detection algorithm. It aims at efficiently revealing nascent structural changes on a given structure with the capability to differentiate between an actual damage and a change in operational conditions. The first three damage detection levels are targeted: existence, location, and severity. The proposed algorithm is analytically developed from the dynamics theory and the virtual energy principle. Some computational techniques are proposed for carrying out computations, including discretization, integration, derivation, and suitable optimization methods. Field implementation strategies are also considered for the purpose of online damage monitoring. In order to prove the efficiency of this strategy, one experimental and three numerical case studies were conducted. The proposed algorithm successfully detected the damage in all simulated cases and estimated the damage severity with acceptable accuracy. The conclusion is that the proposed algorithm was able to efficiently detect damage appearance in a range of structures for various damage levels and locations, and under different operational conditions. [ABSTRACT FROM AUTHOR]

Forest damage and health problems can be identified, mapped, and better managed through the analysis of satellite imagery. However, a high degree of efficiency is achieved only if a workflow for preprocessing and analysis is mature enough for production and can be deployed in an operational processing environment. This letter shows a path for turning research into an operational tool for the purposes of forest delineation and disturbance monitoring using high-resolution RapidEye satellite imagery. The implemented workflow follows a modularized approach with separate modules for image registration, radiometric normalization, classification, and bitemporal analysis. The tool was developed for commercial service provision. It has successfully been deployed for the fourth year for German state forest customers. It makes use of python and python libraries, as well as algorithms of PCI Geomatica. The letter concludes with a case study showing the defoliation monitoring results of a Scots pine plantation area affected by a nun moth outbreak. [ABSTRACT FROM PUBLISHER]

Growing interest on business collaboration motivates today’s industries, especially small and medium enterprises (SMEs) to establish and manage dynamic and non-hierarchical business networks to respond to market opportunities with added business benefits. This business environment requires concurrent work and real-time information sharing between key business partners in order to design and develop customised products. The use of traditional communication media such as e-mail, phone and fax is not satisfactory to get real-time information and is time-consuming and most often ineffective. In such environments, an Information and Communication Technology (ICT)/Web-based technology supports real-time information sharing among networked SMEs for the collaborative design and manufacturing of customised products. This study proposes an innovative ICT platform supporting SMEs collaboration, through Web and the Internet of Things technologies, which follows the Net-Challenge conceptual approach and methodological guidelines for SMEs to form and operate virtual organisations for the collaborative development and delivery of customised products. The ICT Platform was assessed in three different industry domains, namely the textile and apparel, the footwear and the machine tools, respectively. This ICT solution promotes collaboration, with substantial advantages for SMEs including the reduction of costs and delivery time and improvement of the innovation potential. [ABSTRACT FROM AUTHOR]

Predation on native vertebrates and livestock by the European Red Fox ( Vulpes vulpes) remains a significant problem in many parts of Australia. Coordinated approaches to fox control are most effective in protecting these assets and involve placement of baits across the landscape by private and public land managers. However, participation in such programmes varies seasonally and the spatial coverage of baiting is often difficult to determine. Here, we describe a geographic information systems-based system that assists land managers to collect and use spatial information, minimizing gaps in bait coverage and maximizing bait encounters by foxes to increase the effectiveness of pest control. The coordination of data collection and reporting between land managers should facilitate more effective adaptive management by allowing better strategic planning and increasing landholder involvement, which should, in turn, improve the programme's efficacy, provided other critical conditions and resources are met. [ABSTRACT FROM AUTHOR]

The evolution of oil pollution in the Gulf of Mexico from April 20 to May 28, 2010, which resulted from the accident on the BP Deepwater Horizon oil platform that occurred on April 20, 2010, is reviewed. The development of the situation was traced on the basis of a joint analysis of optical and radar images (RIs), which proved to be very effective since the optical images made it possible to exclude the areas of calm on the RIs from consideration, and the RIs gave more complete information about dimensions of the areas covered with oil films indiscernible on optical images. It is shown that the mesoscale water dynamics is of prime importance in oil pollution transport in the gulf; therefore, almost all model predictions of a giant oil spill drift were not justified. [ABSTRACT FROM AUTHOR]

Demand for thermal water in the Mura-Zala basin, situated between Slovenia, Austria, Hungary and Croatia, is constantly increasing, with the sandy geothermal aquifer within the Neogene Mura formation being the most exploited. During the water concession granting process various problems were identified, together with the need for elaboration of the uniform concession granting principles. The latter were devised according to the specific hydrogeological settings and field inspection of 23 geothermal wells, performed through use of an adapted methodology. The inspection revealed changes in wells performance, low efficiency of energy abstraction and a lack of reinjection. The acquired information was applied to the development of particular principles, including the six key indicators. Firstly, a unified and integrated operational monitoring programme must be established, and upgraded by a national surveillance monitoring. Secondly, an application of the best available techniques is proposed. Stimulation of energetic and balneology efficiency is also needed, with recharge and reinjection conditions evaluated and applied where possible. Limited or full water concessions could be granted based on their fulfilment then. This continuous step-by-step approach should enable the implementation of adequate measures to meet the standards required for the thermal groundwater bodies according to the EU water framework directions. [ABSTRACT FROM AUTHOR]

The use of a monitoring system, designed to monitor the condition of hydroelectric plants from the vibrational, mechanical and magnetic characteristics under different operating conditions, is considered. The results of a comparative analysis of similar and different types of plants, obtained using the 'ALMAZ-7010-GÉS' steady monitoring and diagnostics system and new sensors developed by the 'DIAMECH 2000' Company, are presented. [ABSTRACT FROM AUTHOR]

A set of guidelines are presented for the definition of monitoring plans in coastal and transitional (estuarine and lagoonal) systems subject to the European Union Water Framework Directive – WFD (2000/60/EC). General principles of best practice in monitoring are outlined, including (a) the definition of three types of broad management objectives: water quality, conservation, and human use, to which the general public may easily relate. These will define the core and research indicators (WFD quality elements) to be used for monitoring; (b) priorities and optimisation in a (financially and logistically) resource-constrained environment; (c) quality assurance; and (d) assessment of monitoring success: this should focus on the outputs, i.e. the internal audit of the monitoring activity, and on the outcomes. The latter component assesses programme effectiveness, i.e. environmental success based on a set of clearly-defined targets, and informs management action. The second part of this work discusses the approach and actions to be carried out for implementing WFD surveillance, operational and investigative monitoring. Appropriate spatial and temporal scales for surveillance monitoring of different indicators are suggested, and operational monitoring is classified into either screening or verification procedures, with an emphasis on the relationship between drivers, pressure, state and response. WFD investigative monitoring is interpreted as applied research, and thus guidelines cannot be prescriptive, except insofar as to provide examples of currently acceptable approaches. Specific case studies are presented for both operational (coastal eutrophication control) and investigative monitoring (harmful algal blooms), in order to illustrate the practical application of these monitoring guidelines. Further information is available at . [ABSTRACT FROM AUTHOR]