Miracle-dz/UniFAR-FTUs huggingface dataset:
Ingredients in Meat Products: Properties, Functionality and Applications

Basic Curing Ingredients. - Starches. - Nonstarch Hydrocolloids. - Fiber. - Plant Proteins. - Dairy Proteins. - Meat-Derived Protein Ingredients. - Enzymes. - Spices, Seasonings, and Flavors. - Smoke Flavor. - Fermentation and Acidification Ingredients. - Coating Ingredients. - Antioxidants. - Antimicrobial Ingredients. - Alternative Curing Systems.
Mathematical description of adsorption and transport of reactive solutes in soil: a review of selected literature

This report reviews selected literature related to the mathematical description of the transport of reactive solutes through soil. The primary areas of the literature reviewed are (1) mathematical models in current use for description of the adsorption-desorption interaction between the soil solution and the soil matrix and (2) analytic solutions of the differential equations describing the convective-dispersive transport of reactive solutes through soil.
TOXIC SIGNALING OF METABOTROPIC GLUTAMATE 1 RECEPTOR IN CEREBELLAR NEURONS: INVOLVEMENT IN ABERRANT CELL CYCLE RE-ENTRY

Previously, we have shown that mGlu1 receptors play a dual role in neuronal apoptosis: mGlu1 receptor overexpression led to massive cell death while several mGlu1 receptor agonists protected neurons from this receptor-induced apoptosis. In this study, we investigated the possible role of mGlu1 receptor C-terminal domain in receptor induced toxicity. Using stably mGlu1 transfected CHO cells, we observed the cleavage of mGlu1 C-terminal domain when cells were deprived from serum. This cleavage was partially prevented by caspase inhibitors, and expression of an mGlu1 C-terminal domain construct in primary cultures of cerebellar neurons induced toxicity. We also used primary cultures of cerebellar granule neurons as a model of neuronal apoptosis and survival. These neurons survive and differentiate well in a medium supplemented with high potassium concentrations (25 mM, K25 conditions) while physiological K concentrations (5 mM, K5 conditions) lead to an increasing in mGlu1 receptor expression and robust cell death. Under these conditions K5 toxicity was blocked by the mGlu1 receptor selective antagonists CPCCOEt and JNJ. This suggests a role for mGlu1 receptors in cell toxicity during neuronal development and low K5 conditions may be regarded as an in vitro model of developmental apoptosis. Our previous observations have also indicated that under these conditions enhanced mGlu1 expression is influenced by the E2F1 transcription factor, suggesting the involvement of proteins associated with the cell cycle. In fact, transferring granule cells from K25 to K5 conditions caused a differential, time-dependent, regulation of several such proteins. Under these conditions, we also
Meta-analysis of Unmanned Aerial Vehicle (UAV) Imagery for Agro-environmental Monitoring Using Machine Learning and Statistical Models

Unmanned Aerial Vehicle (UAV) imaging systems have recently gained significant attention from researchers and practitioners as a cost-effective means for agro-environmental applications. In particular, machine learning algorithms have been applied to UAV-based remote sensing data for enhancing the UAV capabilities of various applications. This systematic review was performed on studies through a statistical meta-analysis of UAV applications along with machine learning algorithms in agro-environmental monitoring. For this purpose, a total number of 163 peer-reviewed articles published in 13 high-impact remote sensing journals over the past 20 years were reviewed focusing on several features, including study area, application, sensor type, platform type, and spatial resolution. The meta-analysis revealed that 62% and 38% of the studies applied regression and classification models, respectively. Visible sensor technology was the most frequently used sensor with the highest overall accuracy among classification articles. Regarding regression models, linear regression and random forest were the most frequently applied models in UAV remote sensing imagery processing. Finally, the results of this study confirm that applying machine learning approaches on UAV imagery produces fast and reliable results. Agriculture, forestry, and grassland mapping were found as the top three UAV applications in this review, in 42%, 22%, and 8% of the studies, respectively.
Gender Perspectives on National and Nation-State Animal Symbolism

The aim of this article is to revisit the significance of national and nation-state animal symbolism within the context of modern constitutionalism and its democratic emphasis on equal rights, regardless of gender. I discuss the problematic conveyance of gender inclusiveness through the animal sign, and how both at a linguistic and at a visual level (through sexual monomorphism and dimorphism), gender politics may become inscribed within the anthropomorphized animal and its body. I then turn to examine recent examples in which women’s inclusion within the animal symbol has been debated or once again dismissed through a reinstatement of patriarchal expectations. I close the article with a few questions regarding how (and/or whether) the type of gender equality desired and proclaimed by modern nation-states could potentially become encrypted within the animal body.
Changes in photosynthetic metabolism of sea-ice microalgae during a spring bloom in McMurdo Sound

Microalgae, primarily diatoms, bloom in the lower layers of coarse-grained congelation ice and platelet ice during the austral spring at McMurdo Sound, Antarctica. The purpose in the 1985-1986 field season was to examine changes in photosynthetic metabolism that occur during the development and decline of the spring bloom of sea-ice microalgae. The authors have proposed that sea-ice microalgae may serve as a model system for studying growth phase-related changes in physiology of natural populations of microalgae. Because they are physically trapped within the brine channels and pockets that permeate sea ice, a single community may be repetitively sampled throughout the bloom period. The seasonal study of photosynthetic metabolism included the following parameters: carbon assimilation into crude fractions of protein, lipids, carbohydrates, and small molecular weight metabolites; carbon assimilation into specific lipid fractions: neutral lipids, glycolipids, and phospholipids; identification of key lipid components by gas chromatography/mass spectrometry; photosynthesis/light relationships; release of extracellular organic carbon; and analysis of pigment composition: chlorophylls, carotenoids, and breakdown products.
Diapause influenced oviposition behavior and physical egg hatch cues of Aedes atropalpus (Diptera: Culicidae): traits that may influence successful colonization of riverine rock pools

ABSTRACT: Mosquitoes have developed specialized oviposition strategies that allow them to develop in a wide variety of aquatic habitats. Environmentally cued hatching traits may also play an important role in the successful colonization of some larval habitats, but this subject has remained largely unexplored in Culicidae. Aedes atropalpus (Coquillett) is an autogenous rock pool specialist that may maintain unique adaptations for oviposition and egg hatching. We investigated the egg-laying strategies of Ae. atropalpus exposed to standard (non-diapausing) rearing conditions and diapause-inducing conditions and tested the impact of physical agitation on egg hatch rates by exposing floating and submerged eggs to physical agitation treatments. The results of the oviposition experiment indicate that Ae. atropalpus females primarily lay non-diapausing eggs directly onto the water surface and lay diapausing eggs directly on solid surfaces. The egg-hatching experiment demonstrated that physical agitation significantly increases Ae. atropalpus hatch rates. Floating and submerged eggs responded similarly to the agitation treatment. These data suggest that oviposition behaviors based on both egg diapause status and environmentally-cued hatching strategies may be important adaptations for Ae. atropalpus in riverine rock pools.
Errors in prostate core biopsy diagnosis in an era of specialisation and double reporting

Aim To examine the effects of specialist reporting on error rates in prostate core biopsy diagnosis. Method Biopsies were reported by eight specialist uropathologists over 3 years. New cancer diagnoses were double-reported and all biopsies were reviewed for the multidisciplinary team (MDT) meeting. Diagnostic alterations were recorded in supplementary reports and error rates were compared with a decade previously. Results 2600 biopsies were reported. 64.1% contained adenocarcinoma, a 19.7% increase. The false-positive error rate had reduced from 0.4% to 0.06%. The false-negative error rate had increased from 1.5% to 1.8%, but represented fewer absolute errors due to increased cancer incidence. Conclusions Specialisation and double-reporting have reduced false-positive errors. MDT review of negative cores continues to identify a very low number of false-negative errors. Our data represents a ‘gold standard’ for prostate biopsy diagnostic error rates. Increased use of MRI-targeted biopsies may alter error rates and their future clinical significance.
Estimating Structure and Biomass of a Secondary Atlantic Forest in Brazil Using Fourier Transforms of Vertical Profiles Derived from UAV Photogrammetry Point Clouds

Knowing the aboveground biomass (AGB) stock of tropical forests is one of the main requirements to guide programs for reducing emissions from deforestation and forest degradation (REDD+). Traditional 3D products generated with digital aerial photogrammetry (DAP) have shown great potential in estimating AGB, tree density, diameter at breast height, height, and basal area in forest ecosystems. However, these traditional products explore only a small part of the structural information contained in the 3D data, thus not leveraging the full potential of the data for inventory purposes. In this study, we tested the performance of 3D products derived from DAP and a technique based on Fourier transforms of vertical profiles of vegetation to estimate AGB, tree density, diameter at breast height, height, and basal area in a secondary fragment of Atlantic Forest located in northeast Brazil. Field measurements were taken in 30 permanent plots (0.25 ha each) to estimate AGB. At the time of the inventory, we also performed a digital aerial mapping of the entire forest fragment with an unmanned aerial vehicle (UAV). Based on the 3D point clouds and the digital terrain model (DTM) obtained by DAP, vertical vegetation profiles were produced for each plot. Using traditional structure metrics and metrics derived from Fourier transforms of profiles, regression models were fit to estimate AGB, tree density, diameter at breast height, height, and basal area. The 3D DAP point clouds represented the forest canopy with a high level of detail, regardless of the vegetation density. The metrics based on the Fourier transform of profiles were selected as predictors in all models produced. The best model for AGB explained 93% (R2 = 0.93) of the biomass variation at the plot level, with an RMS error of 9.3 Mg ha−1 (22.5%). Similar results were obtained in the models fit for the tree density, diameter at breast height, height, and basal area, with R2 values above 0.90 and RMS errors of less than 18%. The use of Fourier transforms of profiles with 3D products obtained by DAP demonstrated a high potential for estimating AGB and other forest variables of interest in secondary tropical forests, highlighting the value of UAV as a low-cost tool to assist the implementation of REDD+ projects in developing countries like Brazil.
Bartonella species and haplotypes in rodents and their fleas in Lanzarote and El Hierro in the Canary Islands, Spain

ABSTRACT: Because isolated ecosystems contribute to species variability, especially oceanic island ecosystems, the present work focused on the study of the Bartonella species and haplotypes in Lanzarote and El Hierro, two Canary islands with evident bioclimatic differences between them. A total of 123 rodents and 110 fleas from two islands were screened for the presence of Bartonella by PCR analysis of the gltA and nuoG genes. The overall prevalence was 5.7% in rodents and 20.4% in fleas. A total of seven gltA-haplotypes was found in both rodents and fleas, belonging to the species Bartonella mastomydis and Bartonella tribocorum in Lanzarote, and to Bartonella rochalimae and Bartonella elizabethae in El Hierro, as well as recently described species Bartonella kosoyi in both islands. Besides, potential co-infections were detected based on the nuoG analysis. Further, Xenopsylla cheopis was the only flea species identified. Our study shows that isolated ecosystems such as the Canary Islands lead to the appearance of new Bartonella haplotypes along different biotopes, with diverse flea species involved in the spreading of the pathogen being of great relevance due to the zoonotic potential of the species found.
Impacts of environmental conditions on fleas in black-tailed prairie dog burrows

ABSTRACT: Sylvatic plague, caused by the bacterium Yersinia pestis and transmitted by fleas, occurs in prairie dogs of the western United States. Outbreaks can devastate prairie dog communities, often causing nearly 100% mortality. Three competent flea vectors, prairie dog specialists Oropsylla hirsuta and O. tuberculata, and generalist Pulex simulans, are found on prairie dogs and in their burrows. Fleas are affected by climate, which varies across the range of black-tailed prairie dogs (Cynomys ludovicianus), but these effects may be ameliorated somewhat due to the burrowing habits of prairie dogs. Our goal was to assess how temperature and precipitation affect off-host flea abundance and whether relative flea abundance varied across the range of black-tailed prairie dogs. Flea abundance was measured by swabbing 300 prairie dog burrows at six widely distributed sites in early and late summer of 2016 and 2017. Relative abundance of flea species varied among sites and sampling sessions. Flea abundance and prevalence increased with monthly mean high temperature and declined with higher winter precipitation. Predicted climate change in North America will likely influence flea abundance and distribution, thereby impacting plague dynamics in prairie dog colonies.
Hybrid Compact Polarimetric SAR for Environmental Monitoring with the RADARSAT Constellation Mission

Canada’s successful space-based earth-observation (EO) radar program has earned widespread and expanding user acceptance following the launch of RADARSAT-1 in 1995. RADARSAT-2, launched in 2007, while providing data continuity for its predecessor’s imaging capabilities, added new polarimetric modes. Canada’s follow-up program, the RADARSAT Constellation Mission (RCM), launched in 2019, while providing continuity for its two predecessors, includes an innovative suite of polarimetric modes. In an effort to make polarimetry accessible to a wide range of operational users, RCM uses a new method called hybrid compact polarization (HCP). There are two essential elements to this approach: (1) transmit only one polarization, circular; and (2) receive two orthogonal polarizations, for which RCM uses H and V. This configuration overcomes the conventional dual and full polarimetric system limitations, which are lacking enough polarimetric information and having a small swath width, respectively. Thus, HCP data can be considered as dual-pol data, while the resulting polarimetric classifications of features in an observed scene are of comparable accuracy as those derived from the traditional fully polarimetric (FP) approach. At the same time, RCM’s HCP methodology is applicable to all imaging modes, including wide swath and ScanSAR, thus overcoming critical limitations of traditional imaging radar polarimetry for operational use. The primary image data products from an HCP radar are different from those of a traditional polarimetric radar. Because the HCP modes transmit circularly polarized signals, the data processing to extract polarimetric information requires different approaches than those used for conventional linearly polarized polarimetric data. Operational users, as well as researchers and students, are most likely to achieve disappointing results if they work with traditional polarimetric processing tools. New tools are required. Existing tutorials, older seminar notes, and reference papers are not sufficient, and if left unrevised, could succeed in discouraging further use of RCM polarimetric data. This paper is designed to provide an initial response to that need. A systematic review of studies that used HCP SAR data for environmental monitoring is also provided. Based on this review, HCP SAR data have been employed in oil spill monitoring, target detection, sea ice monitoring, agriculture, wetland classification, and other land cover applications.
The Production of Garments and Textiles in Bangladesh: Trade Unions, International Managers and the Health and Safety of Workers

This paper offers a view of working practices within the garment and textile (G&T) industry in Bangladesh. The G&T industry accounts for over 84 per cent of Bangladesh exports and is therefore viewed as key to the country’s economic development. This importance is seen in the creation of Export Processing Zones (EPZs), which were created by that state to encourage foreign investment by offering a congenial climate free from cumbersome procedures. Trade unions are outlawed in these areas. Health and safety are poor within the G&T industry. However, the Rana Plaza disaster of 2013, which caused 1,132 deaths and over 2,500 injuries, placed the issue of workplace safety on the international agenda. Arguably, this prompted a change of attitude within Bangladesh and the G&T industry towards health and safety. The presence of international managers appears to have played a significant role in improving health and safety in the working environment, however these international managers do face a range of cultural barriers, which include both language and a different perception of the value of health and safety in the workplace. This paper has adopted a mixed method of both qualitative and quantitative data, collected through interviews and questionnaire surveys within the G&T industry in Bangladesh.
Behavioral characteristics and endosymbionts of two potential tularemia and Rocky Mountain spotted fever tick vectors

ABSTRACT: Due to climate change-induced alterations of temperature and humidity, the distribution of pathogen-carrying organisms such as ticks may shift. Tick survival is often limited by environmental factors such as dryness, but a predicted hotter and wetter world may allow the expansion of tick ranges. Dermacentor andersoni and D. variabilis ticks are morphologically similar, co-occur throughout the Inland Northwest of Washington State, U.S.A. , and both can be injected with pathogenic Rickettsia and Francisella bacteria. Differences in behavior and the potential role of endosymbiotic Rickettsia and Francisella in these ticks are poorly studied. We wanted to measure behavioral and ecological differences between the two species and determine which, if any, Rickettsia and Francisella bacteria – pathogenic or endosymbiotic - they carried. Additionally, we wanted to determine if either tick species may be selected for if the climate in eastern Washington becomes wetter or dryer. We found that D. andersoni is more resistant to desiccation, but both species share similar questing behaviors such as climbing and attraction to bright light. Both also avoid the odor of eucalyptus and DEET but not permethrin. Although both tick species are capable of transmitting pathogenic species of Francisella and Rickettsia, which cause tularemia and Rocky Mountain Spotted Fever, respectively, we found primarily non-pathogenic endosymbiotic strains of Francisella and Rickettsia, and only one tick infected with F. tularensis subspecies holarctica.
Blocks World of Touch: Exploiting the Advantages of All-Around Finger Sensing in Robot Grasping

Tactile sensing is an essential capability for a robot to perform manipulation tasks in cluttered environments. While larger areas can be assessed instantly with cameras, Lidars, and other remote sensors, tactile sensors can reduce their measurement uncertainties and gain information of the physical interactions between the objects and the robot end-effector that is not accessible via remote sensors. In this paper, we introduce the novel tactile sensor GelTip that has the shape of a finger and can sense contacts on any location of its surface. This contrasts to other camera-based tactile sensors that either only have a flat sensing surface, or a compliant tip of a limited sensing area, and our proposed GelTip sensor is able to detect contacts from all the directions, like a human finger. The sensor uses a camera located at its base to track the deformations of the opaque elastomer that covers its hollow, rigid, and transparent body. Because of this design, a gripper equipped with GelTip sensors is capable of simultaneously monitoring contacts happening inside and outside its grasp closure. Our extensive experiments show that the GelTip sensor can effectively localize these contacts at different locations of the finger body, with a small localization error of approximately 5 mm on average, and under 1 mm in the best cases. Furthermore, our experiments in a Blocks World environment demonstrate the advantages, and possibly a necessity, of leveraging all-around touch sensing in manipulation tasks. In particular, the experiments show that the contacts at different moments of the reach-to-grasp movements can be sensed using our novel GelTip sensor.