Sampling Program Research Articles

Hydro-sedimentological drivers of fine sediment ingress in a gravel-bed river

Most studies investigating fine sediment ingress in gravel-bed rivers have been conducted at the laboratory scale, and even fewer have explored the ingress processes of flocculated particles. Here, an extensive in-situ sampling programme was undertaken to investigate hydro-sedimentological drivers of interstitial fine sediment accumulation and to evaluate fine sediment ingress directional mechanisms in a gravel-bed river located on the eastern slopes of the Rocky Mountains in southern Alberta. Three sediment trap designs were installed across seven deployment cycles at four sites along the river. Instantaneous discharge, suspended solids concentration, and particle size distributions (of suspended and ingressed particles) were measured, while relevant hydraulic parameters were modelled with a flow model (MOBED). Distinct patterns of ingress dynamics between non-cohesive and cohesive fractions of fine sediment were observed. While the assessed hydro-sedimentological parameters did not statistically explain the ingress rates of non-cohesive 0.5 – 2 mm particles, the opposite was observed for < 0.5 mm particles, which were mostly transported in flocculated form. For flocculated sediment, horizontal ingress accounted for ∼ 60 % of interstitial accumulation. Directional ingress mechanisms, however, were dependent on flow conditions for both particle size fractions, with vertical and horizontal accumulations becoming more important during higher and lower energy flows, respectively. Our observations demonstrate the importance of ingress for the interstitial accumulation of fine sediment, even during events with flow above the critical threshold conditions for fine sediment gravitational deposition. Despite the comparable ingress rates to other studies, no interstitial clogging was observed in this study, demonstrating the channel potential storage capacity, which has implications for legacy impacts from landscape disturbances in the Crowsnest River catchment.

Analysis of irregularly sampled stream temperature time series: challenges and solutions

Water temperature is a key physical indicator of stream health, and as such, is commonly measured as part of long-term river health monitoring programs. However, analysis of long-term stream water temperature time series can be challenging, due to typically low frequencies of sampling combined with common characteristics of data collection from streams – such as observations unevenly spaced across seasons, changes to routine sampling frequencies, or improvements in the accuracy of measurements over time – known as sampling artifacts. While there are many models regularly used to estimate trends and summary statistics in long-term stream temperature datasets, there is limited understanding of the impact that commonly encountered sampling artifacts have on the accuracy and uncertainty of their estimates. This study constructed Monte-Carlo simulations to examine the influence that common sampling artifacts and the choice of analysis model can have on trend and mean estimates from long-term stream temperature time series covering tropical, temperate and cold climates. We found that, if not appropriately accounted for during analysis, sampling artifacts may obscure true trends or summary statistics, such as site means, and lead to inaccurate or misleading estimates. However, models that included components to account for seasonal variation within the model structure could estimate trends and means with high confidence, in the presence of almost all of the sampling artifacts commonly found in long-term stream temperature datasets. Structural biases in the time-of-day of sampling, such as always sampling in the morning, or where the start and end of the record are sampled at different times of day, could make estimates highly inaccurate and uncertain, and should be avoided in data collection strategies. This work aims to facilitate the analysis of historical stream temperature datasets with confidence, through identifying models that perform reliably in the presence of common sampling artifacts. The findings will enable further global insights into stream temperature, support management decisions based on accurate analysis and assist the design of future stream sampling programs using cost-effective, low-frequency sampling strategies.

Climate warming effects in stratified reservoirs: Thorough assessment for opportunities and limits of machine learning techniques versus process-based models in thermal structure projections

It is nowadays a hot topic to apply machine learning (ML) algorithms to illustrate water temperature dynamics in lentic waters. Due to the limited amount of in-situ temperature measurements from traditional sampling programmes, most of the related studies, however, restricted their analysis within the surface and rarely checked the results for whole depth profiles. Moreover, capability of such methods in projecting thermal dynamics under future climate conditions is even less illustrated. To fill the gap, we collected an unparalleled huge database including 9 million water temperature measurements, from 2013 to 2022, in Rappbode Reservoir, Germany as well as the corresponding climatic and hydrological observations, to train three commonly used ML models (Random Forest, XGBoost, and Long Short-Term Memory) and comprehensively evaluate their performance in reproducing thremal structure within the whole water column. We also systemically compared such simulation results with a well-established process-driven model (CE-QUAL-W2). Going beyond a pure reproduction of observatiosn, we further evaluated the ability of CE-QUAL-W2 and ML models in projecting thermal dynamics under RCP8.5 climate scenario up to 2100. Our results suggested three ML methods yielded high accuracy in capturing water temperature dynamics from the surface (epilimnion) to bottom (hypolimnion), and also satisfactorily reproduced temporal development of the stratification pattern, with the results corresponding well with those from CE-QUAL-W2. By contrast, the projections by ML models were rather insensitive to future climate warming under RCP8.5 comparing with those by CE-QUAL-W2, pointing to an important risk whenever ML-based models are extrapolated beyond their training data range. Supported by millions of in situ measurements, our research clearly illustrated the opportunities (limits) of ML models in projecting thermal dynamics in deep waters, and the conclusion also provides key guidance for scientists to select the appropriate tools in projecting water temperature, and other environmental factors, under changing climate.

Attitude of undergraduate medical students towards euthanasia and physician-assisted suicide: A cross-sectional study.

Euthanasia is categorically prohibited in Pakistan by Islamic law, but a clash of opinions among doctors and human rights advocates still prevails. As a result, medical students are becoming concerned about its practice and this problem needs to be addressed. A cross-sectional study was conducted at Faisalabad Medical University (FMU), Pakistan, from April 2023 to May 2023, using random sampling and statistical programme SPSS version 25, to assess the attitudes of medical students regarding euthanasia and physician-assisted suicide (PAS). Despite the conditions and scenarios presented to the students, most of them expressed opposition to euthanasia and physician-assisted suicide because of their religious beliefs and optimistic approach to life. Most of them favoured palliative care and passive euthanasia. Some students showed compliance with euthanasia even though it is equivalent to murder in Islam. Such contrasting results can baffle a physician to make wise decisions. Hence, it must be covered in medical curriculum in depth in order to help the future physicians clearly understand its practice under all circumstances.

Evaluation of Coarse Gold-Bearing Conglomerate Mineralisation at Beatons Creek, Pilbara, Western Australia: Sampling for Resource Development and Grade Control

Many styles of gold mineralisation are challenging to sample because of the presence of coarse gold and a high spatial heterogeneity. The coarse gold-bearing conglomerates of the Beatons Creek deposit provide some challenges related to the presence of gold particles up to 8 mm and gold particle clusters (up to 500 mm3) at low in situ grades (&lt;2 g/t Au). Novo has attempted to address these issues over the last six years of exploration, resource development and mining. The Beatons Creek open pit operation was the first Pilbara conglomerate-hosted gold deposit to go into production. Between January 2021 and September 2022, it produced 2.5 Mt at 1.2 g/t Au for 87,300 oz Au recovered. Gold is present within a matrix of multiple, narrow-stacked oxide and fresh (sulphide) conglomeritic reef horizons, which are interbedded with unmineralised conglomerate, sandstones and grits. It is strongly associated with detrital pyrite and authigenic nodules. Several sampling techniques have been applied across the project, including diamond core and RC drilling, trench channel sampling and bulk sampling. Assay methods applied include fire assay, screen fire assay, LeachWELL™ and more recently PhotonAssay™. The dominant sampling protocol applied for resource development and grade control utilised 0.5 m length RC samples; a 50% rig split (c. 8.5 kg) and laboratory crushing to 3 mm, followed by a 2.5 kg split and total assay via PhotonAssay™. For part of the 2022 RC programme, the detectORE™ technique was used to screen primary RC samples and reduce the feed to the laboratory. Novo operated a sampling and assay programme that aimed to reduce the impact of coarse gold on sample and assay preparation biases and to improve estimation.

Observing change in pelagic animals as sampling methods shift: the case of Antarctic krill

Understanding and managing the response of marine ecosystems to human pressures including climate change requires reliable large-scale and multi-decadal information on the state of key populations. These populations include the pelagic animals that support ecosystem services including carbon export and fisheries. The use of research vessels to collect information using scientific nets and acoustics is being replaced with technologies such as autonomous moorings, gliders, and meta-genetics. Paradoxically, these newer methods sample pelagic populations at ever-smaller spatial scales, and ecological change might go undetected in the time needed to build up large-scale, long time series. These global-scale issues are epitomised by Antarctic krill (Euphausia superba), which is concentrated in rapidly warming areas, exports substantial quantities of carbon and supports an expanding fishery, but opinion is divided on how resilient their stocks are to climatic change. Based on a workshop of 137 krill experts we identify the challenges of observing climate change impacts with shifting sampling methods and suggest three tractable solutions. These are to: improve overlap and calibration of new with traditional methods; improve communication to harmonise, link and scale up the capacity of new but localised sampling programs; and expand opportunities from other research platforms and data sources, including the fishing industry. Contrasting evidence for both change and stability in krill stocks illustrates how the risks of false negative and false positive diagnoses of change are related to the temporal and spatial scale of sampling. Given the uncertainty about how krill are responding to rapid warming we recommend a shift towards a fishery management approach that prioritises monitoring of stock status and can adapt to variability and change.

A three-dimensional sampling design based on the coefficient of variation method for soil environmental damage investigation.

A traditional grid model for soil sampling may suffer from poor efficiency and low accuracy. With a nonferrous metal processing plant as the study area, a three-dimensional kriging interpolation model was built based on this plant's preliminary investigation data for arsenic (As), and a detailed survey sampling programme was proposed. The sampling density at the pollution interval of the surface soil was estimated by the coefficient of variation method, and the sampling depth was determined by the pollution interval of the vertical prediction results. The results showed that the encrypted soil sampling distribution optimisation method obtains greater pointing accuracy with fewer points. The sampling accuracy was 87.62% after optimising the depth of pointing. Moreover, this approach could save 66.13% of the sampling costs and 56.93% of the testing costs compared to a full deployment programme. This study provides a new and cost-effective method for predicting the extent of contamination exceedance at a site and provides valuable information to guide post-remediation strategies for contaminated sites.

Optimisation of pH for minimising juice degradation during evaporation

During juice evaporation, sucrose loss can occur due to degradation reactions that are influenced by heat, pH, residence time, and dry substance content. The impacts of heat can be controlled through process and equipment design, and juice pH could be optimised to reduce its effects on degradation reactions. A factory sampling program was conducted with juices collected across an evaporator station comprised of six Robert (rising film) effects in series for a range of juice pH levels and analysed for sucrose loss and overall pH drop from clarified juice to syrup. Measured losses were compared to predictive correlations and showed strong agreement. Using the factory data, two pH control strategies to minimise sucrose degradation and the subsequent impacts on downstream processing were simulated with predictive correlations. The modelling results highlight the potential benefits that can be achieved.

Quantification of the fishing effort of the artisanal fleet in the Maritime-Terrestrial National Park of the Atlantic Islands of Galicia in the absence of vessel monitoring system

The fishing effort in the marine area of the four archipelagos of the Maritime-Terrestrial National Park of the Atlantic Islands of Galicia (PNMTIAG) is estimated. In the absence of vessel monitoring systems (VMS), a stratified quantitative sampling programme of passive gears deployed and of vessels fishing, in the case of non-passive gears, was used. This programme allowed to quantify the fleet and the fishing effort of each gear, to identify the fishing areas, to obtain a list of the usual vessels in each archipelago and the characteristics of a standard vessel for each of them. The fishing fleet in the park was estimated between 283 and 317 (± 81.5) artisanal fishing vessels working at least once a year with a fishing effort density around 5–26 vessels/km². This effort density was higher than in different MPAs in the western Mediterranean area. However, the density of fishing effort in terms of gears/km² was comparable to some of these same MPAs since the fleet spreads its effort over other fishing areas. The creation of fishing restricted areas inside the National Park could lead to an increase in fishing effort in its waters. The vessels working in the archipelagos of Ons and Cíes are slightly larger than those in Sálvora and the latter larger than those in Cortegada. Around 427 crew members work in this fleet have been estimated considering only vessels using passive fishing gears. Also, these results showed that the methodology used may be sufficient but is not adequate to establish a systematic monitoring of all fishing activity. The implementation of VMS, although not compulsory for small-scale fishing vessels, is essential for the best possible management of fishing activity, especially in areas of special protection such as the one in this study.

Geoffrey Eglinton. 1 November 1927—11 March 2016

Where have all life's molecules gone? Recycled to carbon dioxide every one! Ah! But look—a hardy few remain As biomarkers imprisoned in the fossil domain (G. Eglinton &amp; R. Pancost, Immortal molecules ( 47 )) Geoffrey Eglinton trained as an organic chemist at the University of Manchester working on acetylene synthesis, and the Eglinton reaction signifies his discovery of an effective method for their oxidative coupling. At the University of Glasgow, he recognized the potential of analytical advances to open new frontiers for characterization of molecular constituents of complex mixtures and continued to adopt and adapt instrumental techniques throughout his career. Eglinton's exploration of plant leaf waxes, and their taxonomic profiles, prompted forays in organic geochemistry, seeking molecular evidence for ancient life. Thus, his focus shifted to studying ‘chemical fossils’ preserved in the rock record and pioneering identification and interpretation of their compositions. At the University of Bristol, he established the Organic Geochemistry Unit and steered its rise to international prominence as a leading centre for research, a legacy that continues today. He served in planning the Apollo sampling programme and led research that explicated the carbon chemistry of the Moon. Major advances in using molecules as witnesses of the origins and fate of sedimentary organic matter bear the hallmarks of his insightful contributions and commitment to interdisciplinary, collaborative ventures. They include deciphering how environmental controls and thermal transformations govern the composition of petroleum hydrocarbons, and validating the ability for molecules to afford invaluable evidence of past climates. Eglinton's research accomplishments were recognized by many prestigious awards, including a Royal Gold Medal of the Royal Society, the V. M. Goldschmidt Medal of the Geochemical Society, the Wollaston Medal of the Geological Society, and the Dan David Prize.

Learning Better Registration to Learn Better Few-Shot Medical Image Segmentation: Authenticity, Diversity, and Robustness.

In this work, we address the task of few-shot medical image segmentation (MIS) with a novel proposed framework based on the learning registration to learn segmentation (LRLS) paradigm. To cope with the limitations of lack of authenticity, diversity, and robustness in the existing LRLS frameworks, we propose the better registration better segmentation (BRBS) framework with three main contributions that are experimentally shown to have substantial practical merit. First, we improve the authenticity in the registration-based generation program and propose the knowledge consistency constraint strategy that constrains the registration network to learn according to the domain knowledge. It brings the semantic-aligned and topology-preserved registration, thus allowing the generation program to output new data with great space and style authenticity. Second, we deeply studied the diversity of the generation process and propose the space-style sampling program, which introduces the modeling of the transformation path of style and space change between few atlases and numerous unlabeled images into the generation program. Therefore, the sampling on the transformation paths provides much more diverse space and style features to the generated data effectively improving the diversity. Third, we first highlight the robustness in the learning of segmentation in the LRLS paradigm and propose the mix misalignment regularization, which simulates the misalignment distortion and constrains the network to reduce the fitting degree of misaligned regions. Therefore, it builds regularization for these regions improving the robustness of segmentation learning. Without any bells and whistles, our approach achieves a new state-of-the-art performance in few-shot MIS on two challenging tasks that outperform the existing LRLS-based few-shot methods. We believe that this novel and effective framework will provide a powerful few-shot benchmark for the field of medical image and efficiently reduce the costs of medical image research. All of our code will be made publicly available online.

Understanding the exposure risk of aerosolized Coccidioides in a Valley fever endemic metropolis

Coccidioides is the fungal causative agent of Valley fever, a primarily pulmonary disease caused by inhalation of fungal arthroconidia, or spores. Although Coccidioides has been an established pathogen for 120 years and is responsible for hundreds of thousands of infections per year, little is known about when and where infectious Coccidioides arthroconidia are present within the ambient air in endemic regions. Long-term air sampling programs provide a means to investigate these characteristics across space and time. Here we present data from > 18 months of collections from 11 air sampling sites across the Phoenix, Arizona, metropolitan area. Overall, prevalence was highly variable across space and time with no obvious spatial or temporal correlations. Several high prevalence periods were identified at select sites, with no obvious spatial or temporal associations. Comparing these data with weather and environmental factor data, wind gusts and temperature were positively associated with Coccidioides detection, while soil moisture was negatively associated with Coccidioides detection. These results provide critical insights into the frequency and distribution of airborne arthroconidia and the associated risk of inhalation and potential disease that is present across space and time in a highly endemic locale.

Stored products insects in Portugal – New data and overview

The introduction of stored product insect pests to new areas is facilitated by food trade among countries, and effective detection and monitoring programs are crucial for food security. The khapra beetle, Trogoderma granarium Everts is one of the most destructive insect species. In Portugal, T. granarium has been detected in 1988. However, no new data has been added to this information since that date. Floor traps with pheromones specific to T. granarium were used and placed inside ports, mills, and storage facilities, including warehouses and silos, between June and September in 2017, 2019, 2021, and 2022.Previous results from other sampling programs conducted between 2002 and 2008 are also referred here to add more evidence for the presence or absence of T. granarium in Portugal. Here, various types of traps, including some generalists and others with pheromones (such as T. granarium), were used. The collected insects were identified to species, or genus.Surveys conducted identified approximately 40 insect species that are associated with stored products, in a total of 23.725 insects, and among them, the weevils belonging to the genus Sitophilus C.J.Schoenherr have been recognized as the main pests that affects stored cereals. Regarding the surveys made between 2017 and 2022 and previous surveys done in Portugal (between 2002 and 2008; n = 26.719 insects identified), no T. granarium individuals were detected in any of the entomological samples, and only a few Dermestidae specimens were found across all surveys, one of them belonging to the same genus, identified as Trogoderma inclusum LeConte. With the predicted changes in climate, there is a risk of introducing T. granarium and other destructive insect pests that could displace Sitophilus weevils as the key stored products pest in Portugal. Therefore, it is crucial to monitor and implement measures to prevent the spread of invasive pests for effective pest management and food security purposes, using proper trapping methods and accurate and rapid identification tools.

Persistence of microbiological hazards in food and feed production and processing environments.

Listeria monocytogenes (in the meat, fish and seafood, dairy and fruit and vegetable sectors), Salmonella enterica (in the feed, meat, egg and low moisture food sectors) and Cronobacter sakazakii (in the low moisture food sector) were identified as the bacterial food safety hazards most relevant to public health that are associated with persistence in the food and feed processing environment (FFPE). There is a wide range of subtypes of these hazards involved in persistence in the FFPE. While some specific subtypes are more commonly reported as persistent, it is currently not possible to identify universal markers (i.e. genetic determinants) for this trait. Common risk factors for persistence in the FFPE are inadequate zoning and hygiene barriers; lack of hygienic design of equipment and machines; and inadequate cleaning and disinfection. A well-designed environmental sampling and testing programme is the most effective strategy to identify contamination sources and detect potentially persistent hazards. The establishment of hygienic barriers and measures within the food safety management system, during implementation of hazard analysis and critical control points, is key to prevent and/or control bacterial persistence in the FFPE. Once persistence is suspected in a plant, a 'seek-and-destroy' approach is frequently recommended, including intensified monitoring, the introduction of control measures and the continuation of the intensified monitoring. Successful actions triggered by persistence of L. monocytogenes are described, as well as interventions with direct bactericidal activity. These interventions could be efficient if properly validated, correctly applied and verified under industrial conditions. Perspectives are provided for performing a risk assessment for relevant combinations of hazard and food sector to assess the relative public health risk that can be associated with persistence, based on bottom-up and top-down approaches. Knowledge gaps related to bacterial food safety hazards associated with persistence in the FFPE and priorities for future research are provided.

Evaluating the utility of harvester-collected samples for muskox (Ovibos moschatus) pregnancy diagnostics

Monitoring wildlife health in remote and vast regions of the Arctic can be difficult and expensive, but community-based monitoring programs can help alleviate these issues. Reliable bio-monitoring tools, compatible with sample types collected from remote regions, are needed to determine indicators of population health, such as reproductive rates. We sought to establish methods to diagnose pregnancy in muskoxen (Ovibos moschatus) using samples that are commonly collected in harvester-based sampling programs: blood on filter paper and feces. We first evaluated three pregnancy tests, pregnancy-associated glycoproteins (PAG) on filter paper blood samples and fecal progesterone and estrogen metabolites (FPM and FEM), using 12 captive female muskoxen of known pregnancy status. Pregnancy diagnostics using PAG were highly sensitive (100 %) and specific (100 %), with a diagnostic threshold of 19.4 percent positivity (%P) relative to the positive control of the test kit. FPM and FEM diagnostic accuracy differed by hormone and time period. FPM was most accurate in mid-gestation and FEM most accurate in late gestation (sensitivities and specificities of 100 %), but both were overall less accurate than the PAG test during gestation. PAG %P followed a biphasic pattern during gestation, FPM peaked in mid-gestation, and FEM peaked in late-gestation. Following the captive trial, we applied these tests to fecal samples and blood on filter paper samples from 159 adult female muskoxen that were submitted by harvesters through community-based monitoring programs in the Canadian Arctic. The observed patterns of PAG, FPM, and FEM in wild muskoxen throughout gestation were similar to captive muskoxen, though with lower levels of the respective biomarker, requiring different diagnostic thresholds for each test. This work with captive and wild muskoxen provides guidelines for pregnancy diagnostics in muskoxen throughout gestation using samples that can be easily collected by harvesters, allowing for improved monitoring of difficult to access populations through community-based approaches.

Unapređenje tehnološke opreme drona za uzorkovanje vode - projektovanje i modelovanje

One of the modern problems in the field of ecology is the creation of environmentally friendly equipment for monitoring the state of various reservoirs by taking water for further laboratory analysis. Water quality monitoring is needed to record changes in water quality over time, as well as to detect contamination from storm water runoff, which may contain microorganisms, minerals, debris, and fuel residues. One of the promising ways to solve this problem is using drones to collect hydro-chemical data on the spot and take water samples from freshwater environments. This approach makes it possible to perform the aspects of biological and physical-chemical water sampling that are necessary for implementing large-scale water sampling programs and makes these programs more efficient, safe, and economically profitable. However, in modern times, the use of drones for water quality monitoring is held back by a number of important limitations, namely the low level of objective sampling and the relatively small volume of water samples. The article proposes a fundamentally new design of the technological equipment of a drone for taking water samples, namely a new design of a bathometer - a device for taking water samples and installing them on the Cardan suspension. These structural differences ensure the orientation of the bathometer only under the influence of gravitational force, which in turn significantly increases the objectivity of water sampling. The article also provides kinematic and dynamic models of the bathometer's movement on the Cardan suspension rings. It presents the modeling results in the form of graphical and analytical dependencies of kinematic analysis, which constitutes the scientific aspect of the problem. The main motivation of the conducted research is the creation of environmentally friendly equipment in the form of an unmanned aerial vehicle, which is designed to increase the objectivity of water sampling.

Mapping of uranium particles on J-type swipes with microextraction-ICP-MS.

A microextraction liquid sampling system coupled to a quadrupole inductively coupled plasma-mass spectrometer (ICP-MS) was utilized to spatially discern uranium particles, isotopically, on a cellulose-based swipe material (i.e., J-type swipe). These types of swipes are often used by the International Atomic Energy Agency (IAEA) as part of their environmental sampling program. A grid was created such that extraction locations covered the center circle (n = 34 without overlapping). Uranium (U) particulates (<20 μm) of varying U isotopic abundance and chemical form (i.e., uranyl fluoride and uranyl nitrate hexahydrate) were mechanically placed on the swipes in random locations and detected via the microextraction-ICP-MS methodology. Heat maps were subsequently generated to show the placement of the particulate with their respective intensity and isotopic determination. This detection of the uranium particulates, via isotopic determination, agreed with reference values for these materials. Additionally, depleted (235U/238U = 0.002) uranium particulates were placed directly within a clay matrix, on the swipe surface, and subjected to analysis by microextraction-ICP-MS. The mapping of the swipe demonstrated, for the first time, the employment of the microextraction-ICP-MS method for extracting sample from a complex matrix, and correctly identifying the uranium isotopic composition. This example ultimately demonstrates the utility of the methodology for detecting particles of interest in complex matrices.

Defilement of Oil Quality of Final Drive Rear Right Excavator in Eleven-Ton Class Heavy Equipment Due to The Component Wear and Visualization on Website

This research is part of the knowledge and skills of the S.O.S Scheduled Oil Sampling program conducted inPreventive Maintenance practical course in the distribution curriculum of D3 Heavy Equipment Engineering Study Program of Padang State Polytechnic[9]. Laboratory S.O.S Oil is a labor that could see the characteristics of the final drive oil completely, that the quality of the oil used to lubricate the system in final drive can be known as the condition of final drive. Data from S.O.S Oil Laboratory can be used as a reference in conducting in-depth analysis by engineer related to the condition of machine’s final drive. If the condition of the final drive can be known due the operation, it will ease the heavy equipment technicians to perform Preventive Maintenance. The writer’s current research will focus first on the analysis of oil quality defilement caused by wear of the components of final drive. The inner components of the final drive which streamed by lubricant are highly could cause wear and tear by friction between the materials operating in the final drive’s working system[5]. The oil on the final drive has specifications or properties that would affect final drive performance. The oli used in final drives uses single gread oils such as S.A.E 50, which are applied to final drives of eleven-ton excavators[6]. The wear of components in the final drive will be seen from the quality of the final drive oil, if the wear occurs is greater, the work of anti-wear additives on the oil is begins to decrease that there must be a solution and analysis obtained. Test results will be obtained based on test data from the S.O.S. Laboratory. The Laravel framework with Model-View-Controller (MVC) architecture is used to create this website for visualization the result.

An evaluation of the cetacean bycatch monitoring programme on board the Spanish set gillnet and bottom pair trawl fleets in the Bay of Biscay

Abstract Bycatch of cetaceans by European Union (EU) fleets is mostly monitored by onboard observers under the EU Data Collection Framework (DCF) programme. There is concern that the resulting estimates of cetacean bycatch mortality are biased and imprecise, because bycatch events are rare, sampling coverage is limited, and DCF observers prioritize the sampling of the discard of commercial species. Here, we explore the utility of the recently established Spanish cetacean bycatch monitoring programme to estimate cetacean bycatch mortality and compare it to the EU DCF programme. Data from October 2020 to September 2021 from this new Spanish programme were analysed to explore the following issues: (i) representativeness of the sampling frame; (ii) estimation of bycatch per unit of effort (BPUE); and (iii) sampling coverage. The probabilistic sampling design of the programme, with a record of refusals, has allowed identification and correction of biases in BPUE estimation. BPUE estimates for the bottom pair trawl fleet were recalculated to account for the fact that although boats work in pairs, each pair is monitored by a single observer located in a single boat. In relation to the sampling coverage, our results point to a need for levels up to 31% to achieve statistically robust bycatch rates. The current Spanish EU DCF at-sea sampling programme (which includes the sampling of bycatch of non-target protected species) and the Spanish (dedicated) cetacean bycatch monitoring programme provided similar results on cetacean bycatch for some of the ICES Divisions and Metiers monitored but sampling coverage of both is insufficient to obtain robust estimates.

Ecología de una taxocenosis de Calliphoridae del área platense (Provincia de Buenos Aires) (Insecta, Diptera)

This paper constitutes the first approach to the knowledge of the ecology of Calliphoridae from Argentina. The selected stüdied area is a rural one located at 34°55’S and 58° W in the suburbs of Villa Elisa, Province of Buenos Aires. Samples were taken hourly from 10.15 am to 4.15 pm, every month from November 1985 to October 1986. Specimens were captured with entomological net while lying on the bait composed by cow meat. The sampling program included shaded and unshaded sites. Air temperature was recorded every hour. Results showed a remarkable heliophily for some of the recorded species. Chrysomya albiceps, Phaenicia sericata, Phaenicia purpurescens and Cochlipmyia macellaria were codominants during spring and summer, while Calliphora vicina and Calliphora nigribasis were so along the winter months. Chrysomya megacephala, Cochliomyia hominivorax,. Compsomyiops fulvierura, Paralucilia fulvinota, Phaenicia eximia, and Sarconesia chlorogaster were poorly represented for most o f the sampling dates. Sex ratio was female biased for the majority of the studied species.