Single Location Research Articles

Knowledge distillation based on multi-layer fusion features.

Knowledge distillation improves the performance of a small student network by promoting it to learn the knowledge from a pre-trained high-performance but bulky teacher network. Generally, most of the current knowledge distillation methods extract relatively simple features from the middle or bottom layer of teacher network for knowledge transmission. However, the above methods ignore the fusion of features, and the fused features contain richer information. We believe that the richer and better information contained in the knowledge delivered by teachers to students, the easier it is for students to perform better. In this paper, we propose a new method called Multi-feature Fusion Knowledge Distillation (MFKD) to extract and utilize the expressive fusion features of teacher network. Specifically, we extract feature maps from different positions of the network, i.e., the middle layer, the bottom layer, and even the front layer of the network. To properly utilize these features, this method designs a multi-feature fusion scheme to integrate them together. Compared to features extracted from single location of teacher network, the final fusion feature map contains meaningful information. Extensive experiments on image classification tasks demonstrate that the student network trained by our MFKD can learn from the fusion features, leading to superior performance. The results show that MFKD can improve the Top-1 accuracy of ResNet20 and VGG8 by 1.82% and 3.35% respectively on the CIFAR-100 dataset, which is better than state-of-the-art many existing methods.

Inter-Comparison of Radon Measurements from a Commercial Beta-Attenuation Monitor and ANSTO Dual Flow Loop Monitor

Radon (Rn) is a radioactive, colourless, odourless, noble gas that decays rapidly. It’s most stable isotope, 222Rn, has a half-life of around 3.8 days. Atmospheric radon measurements play an important role in understanding our atmospheric environments. Naturally occurring radon can be used as an atmospheric tracer for airmass tracking, to assist in modelling boundary layer development, and is important for understanding background radiation levels and personal exposure to natural radiation. The daughter products from radon decay also play an important role when measuring fine particle pollution using beta-attenuation monitors (BAM). Beta radiation from the 222Rn decay chain interferes with BAM measurements of fine particles; thus, some BAMs incorporate radon measurements into their sampling systems. BAMs are ubiquitous in air quality monitoring networks globally and present a hitherto unexplored source of dense, continuous radon measurements. In this paper, we compare in situ real world 222Rn measurements from a high quality ANSTO dual flow loop, dual filter radon detector, and the radon measurements made by a commercial BAM instrument (Thermo 5014i). We find strong correlations between systems for hourly measurements (R2 = 0.91), daily means (R2 = 0.95), hour of day (R2 = 0.72–0.94), and by month (R2 = 0.83–0.94). The BAM underestimates radon by 22–39%; however, the linear response of the BAM measurements implies that they could be corrected to reflect the ANSTO standard measurements. Regardless, the radon measurements from BAMs could be used with correction to estimate local mixed layer development. Though only a 12-month study at a single location, our results suggest that radon measurements from BAMs can complement more robust measurements from standard monitors, augment radon measurements across broad regions of the world, and provide useful information for studies using radon as a tracer, particularly for boundary layer development and airmass identification.

Valorization of tropical fruit‐processing wastes and byproducts for biofuel production

AbstractGlobal energy demand is expanding due to an increasing population and the use of energy‐intensive technologies. Fossil‐based energy and transportation sectors have been blamed for greenhouse gas emissions and price fluctuations. Biofuel production has been suggested as a possible solution to this problem, despite the cost of production and difficulties with the availability of feedstocks, and the food versus energy debate, which is still a challenging issue. For many decades, researchers have been investigating how to valorize low‐cost and non‐edible biomass resources, including fruit‐processing waste and its byproducts, to produce various biofuels using innovative, cost‐effective, and green technologies to overcome these challenges. However, exhaustive studies and comprehensive and structured knowledge related to the biofuel production potential of fruit waste and byproducts are lacking because most of the research that has been done so far was specific to a single fruit, location, and method. As a result, this review paper emphasizes the evaluation of the physicochemical compositions of the wastes and byproducts derived from tropical fruit production and processing to determine their suitability in the production of different biofuels via various valorization techniques. The results of the review showed that fruit waste is a potential alternative raw material for producing different biofuels, like biodiesel, biogas, biohydrogen, and fuel pellets.

Retrograde Intrarenal Surgery Learning Curves of Urology Residents Supervised by an Experienced Endourologist: An RIRSearch Study

Introduction: Although retrograde intrarenal surgery (RIRS) is being performed with increasing frequency, there are only a limited number of studies about the learning curve (LC). This study aimed to analyze the LC of RIRS for five surgeons who underwent the same training. Materials and Methods: The data of the 410 patients who underwent RIRS between April 2017 and 2022 in a single institution, which were performed consecutively by five surgeons, were analyzed. All 50 cases performed by each surgeon were included and numbered consecutively and separately, according to the date of the operation. The combined stone-free rate (SFR) was calculated for each surgeon’s cases in the same row, and the LCs were created using moving average and cumulative sum (CUSUM) analyses. Separate multivariable analyses identified each period’s (LC vs. beyond) characteristics. Results: The LCs from the combined SFRs reached a plateau after approximately 50 cases for both the CUSUM and the moving average. The effect of stone burden on SFR was more evident in the first 50 cases compared to subsequent cases in the multivariable analyses (p = 0.001 and p = 0.047, respectively). Case order and stone density were independent factors in the first 50 cases (OR: 1.02 [95% CI 1.00–1.04], p = 0.04 and OR: 0.99 [95% CI 0.99–1.00], p = 0.04) but not significant in subsequent cases (OR: 0.97 [95% CI 0.94–1.00], p = 0.1 and OR: 1.00 [95% CI 0.99–1.00], p = 0.7, respectively). Compared to single locations except the lower calyx, the unfavorable effect of the multiple-stone localization on SFR grew in strength after the 50th case (OR: 0.42 [95% CI 0.23–0.78], p = 0.01 and OR: 0.20 [95% CI 0.09–0.46], p < 0.001, respectively). Conclusions: This is the first study reporting on the RIRS LCs of urology residents. While stone burden, density, and multiple-stone localization were the factors determining SFR in the learning period, after completing the LC, the effect of stone burden weakened and multiple-stone localization became stronger.

Pregnancy, Delivery, and Neonatal Outcomes Among Women With Spinal Cord Injury in Sweden 1997-2015: A Population-based Cohort Study

(Acta Obstet Gynecol Scand. 2022;101:1282–1290) Spinal cord injury (SCI) has been shown to have little effect on fertility after the effects of acute injury have abated, but studies examining the effects of SCI on pregnancy and delivery in detail are lacking. Previous studies have shown that, in general, pregnancy outcomes remain positive, even though SCI increases the risks associated with pregnancy and childbirth because of lack of sensation and movement below the injury level. These previous studies have been limited by small sample sizes, single locations, and retrospective study design. This study aimed to examine the incidence of pregnancy in individuals with SCI, as well as pregnancy, delivery, and neonatal outcomes at a population level.

Sources ofInformation Utilized by Active Duty Service Members forNutritional Supplement Safety andEfficacy.

The increasing prevalence of nutritional supplement use in the United States, combined with the risk of adverse effects from these largely unregulated products, poses a significant challenge to health care professionals. The purpose of our study is to evaluate the use of nutritional supplements in an active duty military population, particularly those supplements with increased adverse effect profiles, and the sources of information that service members use to make decisions regarding the safety and efficacy of supplements. The investigators distributed a voluntary, anonymous, self-report survey to a battalion of active duty service members to collect demographic data and information pertaining to the use of, adverse effects from, and sources of information utilized regarding the safety and efficacy of nutritional supplements. Statistical analysis utilized Fisher's exact test for categorical variables and Kruskal-Wallis test for numeric variables via SAS 9.4 (SAS Institute Inc., Cary, NC, USA). The Henry Ford Health System Institutional Review Board evaluated and approved the study. The battalion commander approved the study protocol before the distribution of the survey. Over 50% of respondents reported using high-risk nutritional supplements. Males were more likely to use high-risk supplements than females (54.3% vs. 28.1%; P = .0017). Non-Commissioned Officers were more likely to use high-risk supplements than Junior Enlisted soldiers (67.2% vs. 40.2%, P = .0037). Only 27% of respondents who used high-risk supplements utilized medical professionals as their source of knowledge regarding the safety and efficacy of supplements. Females were more likely than males to seek supplement information from medical professionals (28.1% vs. 10.6%; P = .0202). Company-Grade Officers were more likely to seek supplement information from medical professionals than Junior Enlisted soldiers (40.9% vs. 8.3%; P = .0018). There was no statistically significant difference found for the rate of high-risk supplement use and obtaining information from a medical professional (P = .6982). About 3% of respondents reported adverse or unintended effects of supplement use. The results of our study suggest that a minority of service members seek advice from medical professionals regarding nutritional supplements, women are more likely to do so than men, men may be more likely to use high-risk supplements than women, and Non-Commissioned Officers use high-risk supplements more often than Junior Enlisted. Limitations of this study include the voluntary self-report survey design, relatively small sample size, and single location. A larger, multicenter study would aid to alleviate these limitations in future studies. Numerous studies investigating nutritional supplement use and associated risks are present in the literature; however, the data comparing supplement use with sources of information regarding safety and efficacy are lacking.

Regional impacts on air quality and health of changing a manufacturing facility’s grid-boiler to a combined heat and power system

ABSTRACT Poor air quality is linked to numerous adverse health effects including strokes, heart attacks, and premature death. Improving energy efficiency in the industrial sector reduces air emissions and yields health benefits. One of these strategies, replacing an existing grid boiler (GB) with a combined heat and power (CHP) system, can improve a facility’s energy efficiency but can also increase local air emissions, which in turn can affect health outcomes. Previous studies have considered air-emissions and health outcomes of CHP system installation at a single location, but few studies have investigated the regional air quality and health impacts of replacing an existing GB with new CHP system. This study estimates the emission changes and associated health impacts of this shift in 14 regions in the US, representing different electricity generation profiles. It assumes that one manufacturing facility in each region switches from an existing GB to a CHP system. The monetized annual US health benefits of shifting a single GB to a CHP in each of the 14 regions range from $-5.3 to 0.55 million (2022 USD), while including CHP emission control increases the benefits by 100–170% ($9,000 to 1.15 million (2022 USD)). This study also includes a sensitivity analysis, which suggests that the facility location (region, state, and county), boiler efficiency, and emission control of the CHP are key factors that would determine whether shifting from a GB to CHP system would result in health benefits or burdens. Implications: Combined heat and power (CHP) systems offer industrial facilities the opportunity to improve their energy efficiency and reduce greenhouse gas emissions. However, CHP systems also combust more fuel on site and can also increase local air emissions. This study evaluates how converting an existing grid boiler (GB) system to a CHP system (with or without emission control) affects local (from combustion) and regional emissions (from electricity consumption) and the associated health burdens in different US regions. A facility can use this study’s analysis as an example for estimating the tradeoffs between local emission changes, regional emission changes, and health effects. It also provides a comparison between the incremental cost of adding SCR (compared to uncontrolled CHPs) and the NPV of the monetized health benefits associated with adding the SCR.

Assessing mercury pollution at a primary ore site with both ancient and industrial mining and smelting activities

The Minamata Convention on Mercury has mandated a renewed global effort to tackle Hg pollution. The present study evaluates Hg pollution at a primary Hg production site exploited since the Qin Dynasty (200s BC), with intensive industrial scale production over the past four decades. This single location accounts for over 95% total Hg production in China in recent years. To assess the environmental risk and effectiveness of recently implemented control measures, we collected 90 soil samples, 60 plant tissue samples, 47 sediment samples, and 47 river water samples from the site and its vicinity. A site-specific conceptual site model was established based on the sources, migration transformation pathways of Hg pollutant and its exposure scenarios. The maximum soil Hg concentration reached 10,451 mg kg−1, posing a high health and ecological risk. Vegetable and crop Hg concentrations outside the site reached 0.23 mg kg−1 in rice grains and 4.24 mg kg−1 in green onion. The highest health risk, with a hazard quotient of 130.66, was observed in the Ore Storage Site, which reduced to 17.14 when Hg bioavailability was considered. Risk control measures implemented in recent years included a stormwater collection system and capping of the tailing pond area with clean imported soil. These measures were generally successful; however, Hg in the tailings were found to be contaminating the imported surficial soil due to rainfall saturation and upward migration, suggesting a need for long-term post remedial site monitoring and maintenance. We also found that mining and smelting activities have contaminated a 6 km stretch of a nearby river, with sediment Hg concentrations reaching 2819 mg kg−1, and water column concentrations reaching 193.21 ng L−1. The sediment and water concentrations are highly correlated (R2 = 0.78), suggesting that, with risk control measures in place, a reservoir of Hg in polluted river sediment is now driving pollution in the water column. This work demonstrates that primary Hg mining has caused widespread and serious soil and water pollution. Risk control measures can reduce human health and ecological risks, but robust monitoring and maintenance are required for remediation to be effective in the long-term.

A latent auction model of firm establishment location choice in the Greater Toronto Area

We present a maximum bid model for business establishments in the Greater Toronto Area (GTA). The model is based on a latent auction approach, wherein price and utility are jointly modeled in a random utility-maximizing framework. Structural relationships between establishments by their industry classification and type (i.e., headquarters, subsidiary, branch, or single location) are explored through a generalized nesting correlation structure. This structure provides a mechanism for differentiating between branch and single-location establishments, having seemingly similar functions, but differing in their allocation between industry and type nests. Maximum bid models are estimated for the full establishment population in the GTA at the level of individual buildings. The model scope allows us to provide a range of insights into establishment location choice behavior, which was previously infeasible due to data limitations. We find that professional service establishments tend to locate near passenger rail stations (i.e., subway and LRT), while industrial establishments tend to locate near major highway interchanges. We confirm the finding by Kenworthy and Laube (1999) that Canadian cities are less auto-dependent than US cities, albeit from the perspective of establishment location rather than individual vehicle travel data.

Beyond here and now: Evaluating pollution estimation across space and time from street view images with deep learning

Advances in computer vision, driven by deep learning, allows for the inference of environmental pollution and its potential sources from images. The spatial and temporal generalisability of image-based pollution models is crucial in their real-world application, but is currently understudied, particularly in low-income countries where infrastructure for measuring the complex patterns of pollution is limited and modelling may therefore provide the most utility. We employed convolutional neural networks (CNNs) for two complementary classification models, in both an end-to-end approach and as an interpretable feature extractor (object detection), to estimate spatially and temporally resolved fine particulate matter (PM2.5) and noise levels in Accra, Ghana. Data used for training the models were from a unique dataset of over 1.6 million images collected over 15 months at 145 representative locations across the city, paired with air and noise measurements. Both end-to-end CNN and object-based approaches surpassed null model benchmarks for predicting PM2.5 and noise at single locations, but performance deteriorated when applied to other locations. Model accuracy diminished when tested on images from locations unseen during training, but improved by sampling a greater number of locations during model training, even if the total quantity of data was reduced. The end-to-end models used characteristics of images associated with atmospheric visibility for predicting PM2.5, and specific objects such as vehicles and people for noise. The results demonstrate the potential and challenges of image-based, spatiotemporal air pollution and noise estimation, and that robust, environmental modelling with images requires integration with traditional sensor networks.

Mass and Serial Poisoning: Medico-legal Considerations and Requirements

Mass poisoning is defined as the poisoning (with or without a fatality) of three or more victims in a single location and event. Also, serial poisoning refers to the poisoning at different time intervals (over days, months, or years).

Rhythmic Sampling between Eye Channels.

Our ability to detect targets in the environment fluctuates in time. When individuals focus attention on a single location, the ongoing temporal structure of performance fluctuates at 8 Hz. When task demands require the distribution of attention over 2 objects defined by their location, color or motion direction, ongoing performance fluctuates at 4 Hz per object. This suggests that distributing attention entails the division of the sampling process found for focused attention. It is unknown, however, at what stage of the processing hierarchy this sampling occurs, and whether rhythmic sampling depends on awareness. Here, we show that unaware selection between the two eyes leads to rhythmic sampling. We presented a display with a single central object to both eyes and manipulated the presentation of a reset event (i.e., cue) and a detection target to either both eyes (binocular) or separately to the different eyes (monocular). We assume that presenting a cue to one eye biases the selection process to content presented in that eye. Although participants were unaware of this manipulation, target detection fluctuated at 8 Hz under the binocular condition, and at 4 Hz when the right (and dominant) eye was cued. These results are consistent with recent findings reporting that competition between receptive fields leads to rhythmic sampling and demonstrate that this competition does not rely on aware processes. Furthermore, rhythmic sampling occurs at an early site of competition among monocular channels, before they are fused in the primary visual cortex.

Are complex attentional templates restricted to a single location?

Are complex attentional templates restricted to a single location?

Maritime Target Recognition and Location System Based on Lightweight Neural Network

China’s sea surface area is vast, the need to monitor the area is too large, and the traditional human monitoring method consumes a lot of manpower. Additionally, the monitoring period is too long; the monitoring efficiency is too low; and long-term human monitoring can easily cause visual fatigue, as well as missed detection and error detection. At present, the detection of sea surface targets generally includes infrared, visible light and other different means, which can obtain the image information of sea surface targets in different ways. The infrared target detection of the sea surface can be processed in the spatial domain and frequency domain, respectively, but the image resolution is not high in general, and the detection effect is not good because it is easily affected by weather. In this paper, we propose a maritime target detection method based on embedded vision. Based on visible video images, this paper realizes the rapid detection and recognition of sea surface targets. Clouds and waves in ocean images are filtered by adding an image preprocessing module. Compared with the traditional two-frame difference method, this algorithm has better detection capability for sea surface targets. Experiments were carried out in different weather conditions to detect moving ships at sea. By comparing the number of detection boxes and the detection accuracy, the accuracy of this method reaches 90.2 percent. By designing a single camera location algorithm for the marine environment, the world coordinate location of the marine target is realized. On this basis, the communication function is added to realize the intelligent monitoring of the sea surface without human intervention.

Eight years of weekly eDNA monitoring in the North‐Western Pacific

AbstractDetection of marine organisms based on environmental DNA (eDNA) has expanded the knowledge of species richness, distribution, and appearance patterns. We used eDNA data from a single location sampled weekly over 8 years to detect as many species as possible, and investigate their appearance patterns and associations with biotic and abiotic factors. We detected &gt;2500 operational taxonomic units (OTUs) associated with unique species from nine supergroups. The dominating currents that differ significantly in temperature, salinity, and nutrient concentrations structured the richness of the OTUs. We further detected sporadic and seasonal or continuous presence among the OTUs connected with a single species. This study shows that the long‐term eDNA‐based monitoring approach provides comprehensive knowledge of the species present as well as their associations with biotic and abiotic factors.

Species and functional diversity of cool-season pastures are influenced by warm-season grazing management

CONTEXTIn southern Brazil, livestock producers often overseed cool-season annual grasses into warm-season perennial pastures to extend the grazing season and improve animal performance. However, the effects of warm-season pasture management on the subsequent cool-season pasture are poorly understood. OBJECTIVEWe aimed to evaluate how grazing height and nitrogen (N) fertilization applied to a mixed-species pasture during the warm season affect forage accumulation and diversity in the cool-season pastures. METHODSThe experiment was conducted in a subtropical climate and consisted of two phases: warm season (November/December – April/May) and cool season (May – October/November). During the warm season, we applied a factorial combination of two pre-grazing heights (0.17 and 0.23 m) and three N rates (50, 150, and 250 kg N ha−1) to a mixed-species pasture. During the cool season, we managed all plots equally and measured forage accumulation and diversity using Simpson's and Rao's indices. RESULTS AND CONCLUSIONSWe found that warm-season N fertilization had no residual effect on cool-season pasture responses, but grazing at 0.17 m height during the warm season resulted in higher forage accumulation during the cool season than grazing at 0.23 m height (5100 vs. 4780 kg DM ha−1). However, grazing at 0.23 m height during the warm season increased species diversity (Simpson's index of 0.49 vs. 0.40) and functional diversity (Rao's index of 0.33 vs. 0.29) during the cool season compared to grazing at 0.17 m height. SIGNIFICANCEThis study provides novel insights into the long-term effects of warm-season pasture management on cool-season pasture diversity and productivity in a subtropical climate. It shows that grazing at a height close to the critical leaf area index during the warm season can increase legume proportion and functional diversity in the cool season, which can improve pasture resilience and sustainability. While this study offers valuable insights, it is important to acknowledge its restriction to a single location, and the need to assess the hypothesis raised here to other sites and conditions.

Wasting petabytes: A survey of the Sentinel-2 UTM tiling grid and its spatial overhead

Following Landsat’s practice, Sentinel-2 multispectral satellite products are delivered as raster images projected onto the Universal Transversal Mercator (UTM) spatial reference system, which divides Earth into 60 longitudinal zones. Locally, this guarantees high spatial accuracy, while also easing the interoperability with many regional and governmental datums. On top, the Sentinel-2 product grid uses the Military Grid Reference System (MGRS) tiling scheme to facilitate manageable data slices and straightforward multitemporal image stacking. Although most convenient for small-area applications, activities with a larger geographic scope suffer from this approach and its overhead, as both data duplication and ambiguity appear along UTM zone overlaps and MGRS tile borders. In practice, such areas that are covered by multiple and incongruent grid pixels are known but just tolerated, and their degree has not been measured so far.In this paper, we illuminate the nature and patterns of these overlaps, and calculate the resulting spatial redundancy over the global land surface. We found that the total land area is enlarged in the Sentinel-2 grid definition by 33%, which is a value similar to the simple and single-zoned Plate Carrée projection. The number of co-located grid pixels for a single location ranges from 1 up to 6, with on average more redundancy at mid- and high-latitudes. With regard to global satellite archives in times of big data and increased energy costs, the examined grid appears as a suboptimal choice, inducing complexity and overhead at an unreasonable level. Owing to the grid design, e.g., the yearly Sentinel-2 user product volume (Level-1C and -2A) is inflated by 1 petabyte, entailing cascading downstream costs of storage, bandwidth, and computing.

Magnification-arbitrary depth super-resolution with multiscale consistency deformable alignment

For many years, depth map super-resolution has been a problem worthy of studying in 3D reconstruction. Although many excellent algorithms have been developed to solve this problem, depth map super-resolution at any scale has not attracted much attention. In this paper, we propose a magnification-arbitrary depth super-resolution method based on Meta-SR framework. Different from the single spatial location guidance in Meta-SR, the multiscale consistency alignment module learns a hierarchical registered discontinuities and semantic feature guidance to aggregate more structural information of the depth map and its corresponding color image. Specially, the dense pyramid deformable convolution realizes the scale expansion and improves the precision of sub-pixel upsampling from coarse to fine. A collaborative geometrical-spatial attention based weight prediction module is proposed to measure the correlation between geometrical features, spatial location and the upsampling weights, and predict a set of weight filters for reconstruction. A large number of experiments show that our method achieves satisfactory subjective and objective results on both integral and fractional scales compared with existing methods.

Variable Neighborhood Search Algorithm for the Single Assignment Incomplete Hub Location Problem with Modular Capacities and Direct Connections

In distribution systems such as airlines and express package delivery, the use of hub-and-spoke networks is common, and flow consolidation at hub facilities is essential for cost reduction. While a constant discount factor is typically used to model cost reduction in interhub links, this paper explores an extension of the incomplete hub location problem with modular capacity that enables direct connections between non-hub nodes. The modified approach, called MHLPDC, aims to locate a set of hub facilities, connect each non-hub node to a hub, and activate hub facility links, access arc links, and direct links between non-hub nodes to minimize network costs. The MHLPDC integrates link activation decisions into the decision-making process and utilizes modular arc costs to model the flow dependence of transportation costs in all arcs. To solve the problem, the paper presents a mixed-integer mathematical programming formulation and heuristic algorithm based on a greedy randomized adaptive search and variable neighborhood search approach. The proposed algorithm produces high-quality solutions, as demonstrated through computational experiments on benchmark instances with up to 40 nodes. Furthermore, a sensitivity analysis of the optimal network structure indicates that increasing the discount factor, by varying hub and access arc capacities as well as the associated variable costs, results in fewer hubs being established and more direct shipments between non-hub nodes being permitted.

Exploring the Biological Width in Dentistry: A Comprehensive Narrative Review.

Biological width (BW) is the distance established from the junctional epithelium and connective tissue attachment to the root surface of a tooth. It acts as a natural seal protecting the tooth from infections and diseases. The normal dimension of it is 2.04 mm on average. A periodontal probe is used to determine BW in routine clinical practice. Various methods are available for the determination of BW. A diagnosis of BW violation is asserted when the distance is found to be less than 2 mm at single or multiple locations. Gingival health is of utmost importance when considering the long-term health of the tooth as well as any restoration. A plethora of BW violations can lead to a myriad of complications, which are discussed briefly in this article. The article also aims to highlight BW in relation to restorative margins and implantsand its clinical assessment as well as shed light on the procedure that can be employed to correct BW violations in dental practice.