Do elephants feel pain and if so, how do we know this?

The objective of this document is to identify the behavior of the academic international production in urban history, from the bibliographical records index-linked in Scopus between 1973 and 2010. We use bibliometric indicators from SCImago Group, applying them to the production in the field of arts and humanities. Afterward, we corroborate the results obtained with the indicators calculated exclusively for 1.098 records of urban history. A geographical concentration is observed in the mechanisms of diffusion, authors and institutional affiliation. Likewise, we identify that over 50% of the works published between 1973 and 2010 have not been used by other authors to create new knowledge.El propósito de este documento es identificar el comportamiento de la producción académica internacional en historia urbana, a partir de los registros bibliográficos indizados en Scopus entre 1973 y 2010. Para ello se emplean indicadores bibliométricos obtenidos de SCImago Group y aplicados a la producción en el área de artes y humanidades. Posteriormente, se contrastan los resultados obtenidos con los indicadores calculados exclusivamente para 1.098 registros de historia urbana. Se evidencia una concentración geográfica en los medios de difusión de los productos del área, los autores y su filiación. Se identifica también que más del 50% de los trabajos realizados entre 1973 y 2010 no ha sido empleado por otro autor para crear nuevo conocimientoO propósito deste documento é identificar o comportamento da produção acadêmica internacional em história urbana, a partir dos registros bibliográficos indexados em Scopus entre 1973 e 2010. Para isso, empregam-se indicadores bibliométricos obtidos de SCImago Group e aplicados à produção na área de artes e humanidades. Posteriormente, se contrastam os resultados obtidos com os indicadores calculados exclusivamente para 1,098 registros de historia urbana. Evidencia-se uma concentração geográfica nos meios de difusão dos produtos da área, os autores e sua filiação. Identifica-se também que mais do 50% dos trabalhos realizados entre 1973 e 2010 não tem sido empregados por outro autor para criar conhecimento novo

Super-Resolution and Segmentation Deep Learning for Breast Cancer Histopathology Image Analysis

Traditionally, a high-performance microscope with a large numerical aperture is required to acquire high-resolution images. However, the images\u27 size is typically tremendous. Therefore, they are not conveniently managed and transferred across a computer network or stored in a limited computer storage system. As a result, image compression is commonly used to reduce image size resulting in poor image resolution. Here, we demonstrate custom convolution neural networks (CNNs) for both super-resolution image enhancement from low-resolution images and characterization of both cells and nuclei from hematoxylin and eosin (H&E) stained breast cancer histopathological images by using a combination of generator and discriminator networks so-called super-resolution generative adversarial network-based on aggregated residual transformation (SRGAN-ResNeXt) to facilitate cancer diagnosis in low resource settings. The results provide high enhancement in image quality where the peak signal-to-noise ratio and structural similarity of our network results are over 30 dB and 0.93, respectively. The derived performance is superior to the results obtained from both the bicubic interpolation and the well-known SRGAN deep-learning methods. In addition, another custom CNN is used to perform image segmentation from the generated high-resolution breast cancer images derived with our model with an average Intersection over Union of 0.869 and an average dice similarity coefficient of 0.893 for the H&E image segmentation results. Finally, we propose the jointly trained SRGAN-ResNeXt and Inception U-net Models, which applied the weights from the individually trained SRGAN-ResNeXt and inception U-net models as the pre-trained weights for transfer learning. The jointly trained model\u27s results are progressively improved and promising. We anticipate these custom CNNs can help resolve the inaccessibility of advanced microscopes or whole slide imaging (WSI) systems to acquire high-resolution images from low-performance microscopes located in remote-constraint settings

Elephants and Human Color-Blind Deuteranopes Have Identical Sets of Visual Pigments

Being the largest land mammals, elephants have very few natural enemies and are active during both day and night. Compared with those of diurnal and nocturnal animals, the eyes of elephants and other arrhythmic species, such as many ungulates and large carnivores, must function in both the bright light of day and dim light of night. Despite their fundamental importance, the roles of photosensitive molecules, visual pigments, in arrhythmic vision are not well understood. Here we report that elephants (Loxodonta africana and Elephas maximus) use RH1, SWS1, and LWS pigments, which are maximally sensitive to 496, 419, and 552 nm, respectively. These light sensitivities are virtually identical to those of certain “color-blind” people who lack MWS pigments, which are maximally sensitive to 530 nm. During the day, therefore, elephants seem to have the dichromatic color vision of deuteranopes. During the night, however, they are likely to use RH1 and SWS1 pigments and detect light at 420–490 nm

In vitro flubendazole-induced damage to vital tissues in adult females of the filarial nematode Brugia malayi

The use of a microfilaricidal drug for the control of onchocerciasis and lymphatic filariasis necessitates prolonged yearly dosing. Prospects for elimination or eradication of these diseases would be enhanced by availability of a macrofilaricidal drug. Flubendazole (FLBZ), a benzimidazole anthelmintic, is an appealing candidate macrofilaricide. FLBZ has demonstrated profound and potent macrofilaricidal effects in a number of experimental filarial rodent models and one human trial. Unfortunately, FLBZ was deemed unsatisfactory for use in mass drug administration (MDA) campaigns due to its markedly limited oral bioavailability. However, a new formulation that provided sufficient bioavailability following oral administration could render FLBZ an effective treatment for onchocerciasis and LF. This study characterized the effects of FLBZ and its reduced metabolite (FLBZ-R) on filarial nematodes in vitro to determine the exposure profile which results in demonstrable damage. Adult female Brugia malayi were exposed to varying concentrations of FLBZ or FLBZ-R (100 nM–10 μM) for up to five days, after which worms were fixed for histology. Morphological damage following exposure to FLBZ was observed prominently in the hypodermis and developing embryos at concentrations as low as 100 nM following 24 h exposure. The results indicate that damage to tissues required for reproduction and survival can be achieved at pharmacologically relevant concentrations

New K50R mutant mouse models reveal impaired hypusination of eif5a2 with alterations in cell metabolite landscape

The eukaryotic translation initiation factor 5A1 (eIF5A1) and 5A2 (eIF5A2) are important proteins in a variety of physiological and pathophysiological processes and their function has been linked to neurodevelopmental disorders, cancer, and virology. Here, we report two new genome-edited mouse models, generated using a CRISPR-Cas9 approach, in which the amino acid residue lysine 50 is replaced with arginine 50 (K50R) in eIF5A1 or in the closely related eIF5A2 protein. This mutation prevents the spermidine-dependent post-translational formation of hypusine, a unique lysine derivative that is necessary for activation of eIF5A1 and eIF5A2. Mouse brain lysates from homozygous eif5a2-K50R mutant mice (eif5a2K50R/K50R) confirmed the absence of hypusine formation of eIF5A2, and metabolomic analysis of primary mouse dermal fibroblasts revealed significant alterations in the metabolite landscape compared to controls including increased levels of tryptophan, kyrunenine, pyridoxine, NAD, riboflavin, FAD, pantothenate, and CoA. Further supported by new publicly available bioinformatics data, these new mouse models represent excellent in vivo models to study hypusine-dependent biological processes, hypusination-related disorders caused by eIF5A1 and eIF5A2 gene aberrations or mRNA expression dysregulation, as well as several major human cancer types and potential therapies