The Mainstream Misrepresentation of Muslim Women in the Media

I discuss the widespread misrepresentation of Islamic women in multiple sources of media and its subsequent effects on the general population\u27s perception of this demographic as a whole

Review of the Literature: Scientific Argumentative Writing

In light of the essential science and engineering practices identified by the Next Generation Science Standards (NGSS), this study focuses on the specific science and engineering practice, engage in argument from evidence, and how classroom practices can serve to strengthen this skill (National Research Council, 2012, p. 71). The NGSS focus on inquiry necessitates students’ use of argument, particularly in writing, to communicate their knowledge and scientific findings and to develop an understanding of scientific practice. The contents of this literature review will link the practice of scientific inquiry to writing in the science curriculum, and how argumentative writing can support overall scientific literacy. This will benefit scientific educators by yielding information about how scientific argumentative writing can be most effectively implemented into the middle school classroom to yield the maximum benefit for literacy in the science curriculum

Ethical issues and attitudes towards euthanasia

Case studies describing end-of-life scenarios were used to assess college students’ attitudes toward euthanasia. Students used a five-point rating scale to judge if a case was ethical. Major field of study and religious conviction did not prove to be significant factors. The age of the person described in a scenario did influence ethics ratings, but not in the hypothesized direction. Euthanasia was judged to be more ethical in situations involving younger adults than in situations involving older adults

Change Detection Techniques with Synthetic Aperture Radar Images: Experiments with Random Forests and Sentinel-1 Observations

This work aims to clarify the potential of incoherent and coherent change detection (CD) approaches for detecting and monitoring ground surface changes using sequences of synthetic aperture radar (SAR) images. Nowadays, the growing availability of remotely sensed data collected by the twin Sentinel-1A/B sensors of the European (EU) Copernicus constellation allows fast mapping of damage after a disastrous event using radar data. In this research, we address the role of SAR (amplitude) backscattered signal variations for CD analyses when a natural (e.g., a fire, a flash flood, etc.) or a human-induced (disastrous) event occurs. Then, we consider the additional pieces of information that can be recovered by comparing interferometric coherence maps related to couples of SAR images collected between a principal disastrous event date. This work is mainly concerned with investigating the capability of different coherent/incoherent change detection indices (CDIs) and their mutual interactions for the rapid mapping of "changed" areas. In this context, artificial intelligence (AI) algorithms have been demonstrated to be beneficial for handling the different information coming from coherent/incoherent CDIs in a unique corpus. Specifically, we used CDIs that synthetically describe ground surface changes associated with a disaster event (i.e., the pre-, cross-, and post-disaster phases), based on the generation of sigma nought and InSAR coherence maps. Then, we trained a random forest (RF) to produce CD maps and study the impact on the final binary decision (changed/unchanged) of the different layers representing the available synthetic CDIs. The proposed strategy was effective for quickly assessing damage using SAR data and can be applied in several contexts. Experiments were conducted to monitor wildfire's effects in the 2021 summer season in Italy, considering two case studies in Sardinia and Sicily. Another experiment was also carried out on the coastal city of Houston, Texas, the US, which was affected by a large flood in 2017; thus, demonstrating the validity of the proposed integrated method for fast mapping of flooded zones using SAR data

Prolactin and Prolactin Receptor Expression in Rat, Small Intestine, Intraepithelial Lymphocytes During Neonatal Developmen

Intraepithelial lymphocytes (IEL) are specialized T cells found between the epithelial cells of the small intestine. Because of their location, IEL are the first lymphocytes to contact intestinal bacteria and food antigens. In the neonate, IEL may be the first cells of the immune system to interact with milk-borne hormones including prolactin (PRL). PRL, an endocrine hormone abundant in breast milk, interacts with cells through surface receptors. PRL has been shown to function as an immunoregulator and may affect the development of the newborn's immune system. To determine if PRL plays a role in IEL development, small intestine IEL from rats of various ages were examined for the presence of surface prolactin receptor (PRL-R) and several lymphoid markers by flow cytometry. Between birth and 96 days of age about 80% of IEL were found to express PRL-R. These same cells also expressed the mRNA for PRL. Additionally, all of the IEL subpopulations examined were found to express PRL-R. Analysis of the normal development of rat IEL revealed an age related increase in total IEL, CD4 positive cells as well as a peak in interleukin-2 receptor (IL-2R) expression at weaning. In summary, the results indicate that IEL express PRL and PRL-R. In addition, an activation marker, IL-2R, changes in expression during neonatal development

Implications of no-tillage system in faba bean production: Energy analysis and potential agronomic benefits

Background: Given the nutritional value of faba bean, however its susceptibility to water deficit, especially in Mediterranean environment, tillage practices need to be modified in order to adapt the crop to dry and low rainfall conditions and promote the interest in its cultivation. Objective: To identify whether no-tillage system can be considered as a sustainable means in faba bean cultivation under Mediterranean condition. Method: The study was conducted during a 6-year period (2010/11 to 2015/16) in southern Italy within wheat-faba bean rotation framework of a long-term experiment. The effect of No-Tillage (NT) on agronomic and energy parameters of faba bean (Vicia faba L.) cultivation was evaluated and compared to those of Conventional (CT) and Reduced (RT) Tillage. Results: The agronomic results indicate that NT performed better and/or is comparable to CT, while its application was 28% and 30% more energy efficient compared to CT and RT respectively. For agronomic parameters, tillage had a significant effect on number of plant m -2 , grain yield, grain protein content and 100-seed weight whereas year effect was significant for yield components and quality parameters. Energy indexes, instead, were significantly affected by both factors. NT gave the best results in terms of energy efficiency, energy intensity and net energy, and consumed 39% and 36% less non-renewable energy than CT and RT, respectively. Conclusion: Our findings revealed that the key benefit of NT in rainfed faba bean is its ability to produce sufficient yield of high quality with a significant reduction in energy inputs entailed the fewest field operations and therefore lowest energy requirements