-
Burnette Bennetsen posted an update 6 months, 4 weeks ago
is a tick-borne apicomplexan parasite that affects bovine and causes severe economic losses.
Our study aimed to determine the molecular prevalence of
infection in asymptomatic carrier cattle in Odisha, India, to study the association of potential risk factors with theileriosis, and to investigate the effect of the parasite infection on hematological parameters in naturally affected animals.
A total of 226 cattle blood samples were collected from seven districts of Odisha, India. Molecular diagnoses of tropical theileriosis by polymerase chain reaction (PCR), cloning, sequencing, and phylogenetic analysis of isolated parasites were performed. Potential risk factors were investigated by univariable and multivariable logistic regression statistical analysis. Hematological parameters were compared between positive and negative animals.
All animals included in our study were clinically normal, however, 54.86% (124/226) of examined animals were positive by PCR for
. The multivariable logistic regression showed that contact with other cattle from different herds during grazing (P<0.0001; OR 12.75; 95% CI 5.21-31.21), previous history of clinical signs (P=0.002; OR 3.31; 95% CI 1.53-6.31), and frequency of a ectoparasiticides application pre year (P<0.0001; OR 9.22; 95% CI 3.03-28.09) were the potential risk factors for the occurrence of tropical theileriosis. Nucleotide sequence identity data demonstrated that
strain (MN818858) Odisha shared homology of 99.6%, 99.49%, and 99.36% with Uttar Pradesh, India (MF346035), Bahrain (AF214797), and Hyderabad, India (MK034702), respectively.
This is the first study to gain insight into the molecular epidemiology, risk factors, phylogeny, and hematological analysis of asymptomatic
infected cattle from India.
This is the first study to gain insight into the molecular epidemiology, risk factors, phylogeny, and hematological analysis of asymptomatic T. annulata infected cattle from India.Over the recent years, machine learning techniques have been employed to produce state-of-the-art results in several audio related tasks. The success of these approaches has been largely due to access to large amounts of open-source datasets and enhancement of computational resources. However, a shortcoming of these methods is that they often fail to generalize well to tasks from real life scenarios, due to domain mismatch. One such task is foreground speech detection from wearable audio devices. Several interfering factors such as dynamically varying environmental conditions, including background speakers, TV, or radio audio, render foreground speech detection to be a challenging task. Moreover, obtaining precise moment-to-moment annotations of audio streams for analysis and model training is also time-consuming and costly. In this work, we use multiple instance learning (MIL) to facilitate development of such models using annotations available at a lower time-resolution (coarsely labeled). We show how MIL can be applied to localize foreground speech in coarsely labeled audio and show both bag-level and instance-level results. We also study different pooling methods and how they can be adapted to densely distributed events as observed in our application. Finally, we show improvements using speech activity detection embeddings as features for foreground detection.
The purpose of this survey-based study was to evaluate the implementation of virtual learning in asingle academic general surgery program, compared with the well-established face-to-face academic curriculum used before.
From April 2020 to the present, virtual sessions were created via Zoom Videos Communications, Inc. (San Jose, CA, USA). Asurvey composed of 15questions about the perceived quality and utility of the virtual sessions was developed. The survey was sent out to all general surgery residents of ageneral surgery program in November of 2020.
All residents enrolled in the program answered the survey, i.e., 22 (73.3%) men and 8 (26.7%) women with 6(20.2%) residents per year (PGY 1-PGY5). Over half of residents (
= 17, 56.7%) felt similar academic performance during online sessions when compared to the older model. Perceptions of the level of organization of academic sessions increased during the online model (
= 20, 66.7%). Twenty (66.7%) residents agreed it was easier to attend sessions during the online model. Fourteen (46.7%) residents reported their attendance to the sessions increased, and 14 (46.7%) residents would prefer this modality after the pandemic is over, with 8 (26.7%) being neutral about it.
This study, to our knowledge, is the first to survey general surgery residents about the transition from aface-to-face curriculum to an e‑learning curriculum. The demonstrated effectiveness of the transition from face-to-face academic activities to virtual activities makes it afeasible tool for graduate medical education programs to adjust to avirtual model.
This study, to our knowledge, is the first to survey general surgery residents about the transition from a face-to-face curriculum to an e‑learning curriculum. The demonstrated effectiveness of the transition from face-to-face academic activities to virtual activities makes it a feasible tool for graduate medical education programs to adjust to a virtual model.Climate change poses critical challenges for population persistence in natural communities, agriculture and environmental sustainability, and food security. In this review, we discuss recent progress in climatic adaptation in plants. We evaluate whether climate change exerts novel selection and disrupts local adaptation, whether gene flow can facilitate adaptive responses to climate change, and if adaptive phenotypic plasticity could sustain populations in the short term. AMG487 Furthermore, we discuss how climate change influences species interactions. Through a more in-depth understanding of these eco-evolutionary dynamics, we will increase our capacity to predict the adaptive potential of plants under climate change. In addition, we review studies that dissect the genetic basis of plant adaptation to climate change. Finally, we highlight key research gaps, ranging from validating gene function, to elucidating molecular mechanisms, expanding research systems from model species to other natural species, testing the fitness consequences of alleles in natural environments, and designing multifactorial studies that more closely reflect the complex and interactive effects of multiple climate change factors.
Please follow & like us :)
All content contained on CatsWannaBeCats.Com, unless otherwise acknowledged,is the property of CatsWannaBeCats.Com and subject to copyright.