Aagesenslaughter4974

Although all tested individuals responded to broadcasted traffic noise, males closest to the road decreased their chirp rate less than individuals calling further from the road. find more These results suggest that regular exposure to anthropogenic noise may decrease individuals' sensitivity and behavioral responses to noise, allowing them to maintain effective signaling rates. Behavioral plasticity modulated by experience may thus allow some insect species to cope with human-induced environmental stressors. © The Author(s) 2019. Published by Oxford University Press on behalf of the International Society for Behavioral Ecology.Male mate choice occurs in a wide range of species, and males can increase their reproductive success by distinguishing between females based on their fecundity (e.g., large body size) or their expected sperm competition risk (e.g., virgins). However, patterns of male mate choice could be mitigated by variation in female physiological receptivity, as males can benefit by directing their mating efforts toward females that are at a point in their reproductive cycle when fertilization probability is highest. Here, we perform three experiments to assess whether male mate choice is influenced by cues of female physiological receptivity, fecundity, or sperm competition risk in the pygmy halfbeak (Dermogenys collettei), a small livebearing fish. Female halfbeaks possess a "gravid spot"-an orange abdominal marking that is caused by pigmentation of the females' skin and variation in embryo development and pigmentation during pregnancy. We show that gravid spot size increases toward parturition and is largest right before giving birth, independent of abdominal width or body size. Males consistently chose females with large gravid spots over females with small gravid spots. In contrast, males did not prefer larger females over smaller females or virgin females over mated females. As female halfbeaks store sperm prior to fertilizations, we suggest that males use the size of the gravid spot as a cue to direct their mating efforts to those females where the chance of fertilization is highest. © The Author(s) 2019. Published by Oxford University Press on behalf of the International Society for Behavioral Ecology.CoViD-19 epidemic started in China in late December 2019, and soon spread, turning into a pandemic. All medical specialties have soon been involved in the management of CoViD-19 patients; the daily Orthopaedic activity has been affected profoundly by this dramatic health emergency. The present paper aims to summarize all the measures and changes that had to be made in order to avoid the healthcare system collapse in the most affected areas, and provides an operative flowchart. © 2020 Professor P K Surendran Memorial Education Foundation. Published by Elsevier B.V. All rights reserved.Objectives Examine the timing of proximal femoral shortening (PFS) after cephalomedullary nailing of hip fractures. Methods A retrospective cohort study of 21 patients ≥50 years old with pertrochanteric hip fractures treated with a short cephalomedullary nail (CMN) was performed. Abductor lever arm shortening, femoral height shortening, and PFS were measured. Results Mean PFS at 10-21 days postoperatively was 5.54 mm, compared to 11.31 mm at final follow-up. The percentage of total PFS that occurred within 10-21 days postoperatively was 53.9%. Conclusion Approximately half of total PFS occurs within 1.5-3 weeks and is notable on radiographs by the first postoperative visit. © 2020 Published by Elsevier B.V. on behalf of Professor P K Surendran Memorial Education Foundation.Landfill leachate poses significant risks to public health via the release of high-toxicity contaminants, including refractory organic compounds, ammonia-nitrogen compounds, and heavy metals. Significant efforts have been made to develop useful methods for leachate disposition and treatment. Advanced oxidation processes (AOPs) are one of the most promising methods, because they can rapidly degrade diverse pollutants and significantly improve the biodegradability of leachate. Graphitic carbon nitride (g-C3N4), a fascinating conjugated polymer, has become a hot topic in AOP research due to its metal-free benefits and high photosensitivity. Thus, combining AOPs with g-C3N4 achieves excellent degradation of refractory pollutants in leachate. Since the composition of leachate is complex in the practical conditions, the information reported by current studies of using g-C3N4 as a remediator is still incomplete and fragmented. Thus, in this review, the recent status of leachate treatment and approaches for its disposal has been summarized and some conclusions have been drawn. In addition, a brief introduction to g-C3N4 and its application in AOPs for leachate treatment have been critically discussed and with its future outlook assessed. Although the development of g-C3N4 in AOPs for leachate treatment is highly efficient and practical, comprehensive study about its application and technology expansion is urgently needed, based on the complex operating conditions. Perspectives on the treatment of leachate using g-C3N4-AOPs are also included. The information and perspectives provided in this review will provide guidance and novel understanding to accelerate the development of g-C3N4-based AOPs for leachate treatment. © 2020 Institution of Chemical Engineers. Published by Elsevier B.V. All rights reserved.Children speech recognition is challenging mainly due to the inherent high variability in children's physical and articulatory characteristics and expressions. This variability manifests in both acoustic constructs and linguistic usage due to the rapidly changing developmental stage in children's life. Part of the challenge is due to the lack of large amounts of available children speech data for efficient modeling. This work attempts to address the key challenges using transfer learning from adult's models to children's models in a Deep Neural Network (DNN) framework for children's Automatic Speech Recognition (ASR) task evaluating on multiple children's speech corpora with a large vocabulary. The paper presents a systematic and an extensive analysis of the proposed transfer learning technique considering the key factors affecting children's speech recognition from prior literature. Evaluations are presented on (i) comparisons of earlier GMM-HMM and the newer DNN Models, (ii) effectiveness of standard adaptation techniques versus transfer learning, (iii) various adaptation configurations in tackling the variabilities present in children speech, in terms of (a) acoustic spectral variability, and (b) pronunciation variability and linguistic constraints.