Don\u27t Call Me That: A Techno-Feminist Critique of the Term Mommy Blogger

This article argues that although the act of mommy blogging may be empowering, the term itself reinforces women\u27s hegemonic normative roles as nurturers, thrusting women who blog about their children into a form of digital domesticity in the blogosphere. Drawing on 29 blogs posts women wrote debating the term mommy blogger and 649 comments posted on these blogs, the author uses Judith Butler\u27s concept of performativity to rhetorically analyze the term, using a techno-feminist lens and cyber-ethnographic approach. The author asserts that the use of the term mommy blogger continues the culturally ingrained performance of motherhood women learned since childhood, and, in so doing, holds women captive in this subjective norm that may not fit them. The use of mommy, versus mother, highlights the nurturing aspect of motherhood and conjures a prototype of the ideal mother, further marginalizing women by focusing on one attribute that does not apply to all women or even all mothers

How Much Does This Tick You Off? Online Rejection and Criticism Lead to Negative Affect and Retaliatory Aggression

A three-condition (rejection, criticism, control) single-factor experiment (N = 77) on a mock social-networking site similar to Facebook reveals that even a slight rejection - not being allowed to join groups on the site - lead to increases in self-reported negative affect and retaliation against the site and the rejecting groups compared to a control. Subjects who were accepted into the groups but then criticized experienced the same increases in negative affect and retaliatory aggression, as those who were not allowed to join. In addition, men showed heightened retaliatory aggression compared to women and responded differently to criticism than women. However, no significant effects were found by condition in regard to arousal, physiologically measured affect, attempts to restore relational value, triggered displaced aggression, or feelings associated with ostracism. Findings suggest that while rejection and criticism cause emotional pain, they do not hurt as much as ostracism. Results are discussed in relation to the belongingness hypothesis, sociometer theory, the ostracism model, and face theory. Gender differences are explored using social cognitive theory

Safety Concerns in Football: A Systemic Review on the Protocol of Return to Play after Concussion

The purpose of this article was two-fold: (1) to address and highlight the standards of concussion management protocol provided by the NATA, CDC and major sports governing bodies, and (2) to examine how concussion protocols of different levels of athletic programs and organizations adhere to the proposed guidelines and standards. According to the literature, an ideal concussion management plan must cover elements such as: concussion education, responsibility and information about student athletes’ self-reporting signs and symptoms, policy and rules on restricting activities of athletes who are diagnosed with a concussion, requirements and procedures for diagnosis of a concussion and clearance before returning to play (RTP), baseline testing for athletes, return to learn guidelines, and a stepwise RTP progression. The results of our analysis revealed that most of the programs had complied with the NATA concussion treatment protocol and standards, particularly on the element of the stepwise progression RTP protocol. Implications and practical suggestions are discussed to help improve existing protocols to better serve injured athletes and protect all athletes from further exposure to sport related concussions (SRC)

Safety concerns in football: An analysis on the protocol of return to play after concussion

The purpose of this article was two-fold: (1) to address and highlight the standards of concussion management protocol provided by the NATA, CDC and major sports governing bodies, and (2) to examine how concussion protocols of different levels of athletic programs and organizations adhere to the proposed guidelines and standards. According to the literature, an ideal concussion management plan must cover elements such as: concussion education, responsibility and information about student athletes’ self-reporting signs and symptoms, policy and rules on restricting activities of athletes who are diagnosed with a concussion, requirements and procedures for diagnosis of a concussion and clearance before returning to play (RTP), baseline testing for athletes, return to learn guidelines, and a stepwise RTP progression. The results of our analysis revealed that most of the programs had complied with the NATA concussion treatment protocol and standards, particularly on the element of the stepwise progression RTP protocol. Implications and practical suggestions are discussed to help improve existing protocols to better serve injured athletes and protect all athletes from further exposure to sport related concussions (SRC)

The Potential Interference of Body Products and Substrates to the Identification of Ignitable Liquid Residues on Worn Clothing

The question of whether deposits on clothing as well as their chemical composition are being mistaken for ignitable fluids is a concern for forensic analysts. Body products and oil secretions can have similar chemical profiles to ignitable liquid residues (ILRs) as a result of comparable chemical compounds that may be found in both sources. This study investigated whether substrates of unworn and worn clothing, with endogenous body secretions and body products could interfere with ILR analysis. Sample extraction was completed by passive headspace concentration with activated charcoal strips (ACS) and desorption with carbon disulfide followed by analysis with gas chromatography-mass spectrometry (GC–MS). Results showed that some body products produce similar patterns to heavy petroleum distillates and most clothing contained components that are commonly found in ignitable liquids. It was concluded that the clothing, body products and compounds released by the body all contribute to the GC–MS profile of worn clothing. These components can mimic or mask the presence of ILRs, however educated and experienced analysts would likely be able to differentiate these substrate patterns from ILRs

Combining children's savings account programs with scholarship programs: Effects on math and reading scores

The study examines school data and their association with participation in the Wabash County Promise Scholarships program, which combines Children's Savings Accounts (CSAs) with scholarships. CSAs are interventions designed to build educational assets for school age children. Policy makers are increasingly turning to CSAs as a way to augment efforts for improving children's educational outcomes. Findings from this study provide some evidence that having a CSA combined with a scholarship is associated with higher math and reading scores. Findings are strongest among the subsample receiving free/reduced lunch. Further, findings suggest that being a saver (i.e., having at least one family or champion contribution) in Promise Scholars is associated with higher math scores but not reading scores. Finally, evidence suggests that CSAs combined with scholarships in the Promise Scholars program are more closely associated with children's math and reading scores than only CSAs

Where is the future of China’s biogas? Review, forecast, and policy implications

This paper discusses the history and present status of different categories of biogas production in China, most of which are classified into rural household production, agriculture-based engineering production, and industry-based engineering production. To evaluate the future biogas production of China, five models including the Hubbert model, the Weibull model, the generalized Weng model, the H–C–Z model, and the Grey model are applied to analyze and forecast the biogas production of each province and the entire country. It is proved that those models which originated from oil research can also be applied to other energy sources. The simulation results reveal that China’s total biogas production is unlikely to keep on a fast-growing trend in the next few years, mainly due to a recent decrease in rural household production, and this greatly differs from the previous goal set by the official department. In addition, China’s biogas production will present a more uneven pattern among regions in the future. This paper will give preliminary explanation for the regional difference of the three biogas sectors and propose some recommendations for instituting corresponding policies and strategies to promote the development of the biogas industry in China

We Should Not Get Rid of Incivility Online

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.Incivility and toxicity have become concepts du jour in research about social media. The clear normative implication in much of this research is that incivility is bad and should be eliminated. Extensive research—including some that we’ve authored—has been dedicated to finding ways to reduce or eliminate incivility from online discussion spaces. In our work as part of the Civic Signals Initiative, we’ve been thinking carefully about what metrics should be adopted by social media platforms eager to create better spaces for their users. When we tell people about this project, removing incivility from the platforms frequently comes up as a suggested metric. In thinking about incivility, however, we’ve become less convinced that it is desirable, or even possible, for social media platforms to remove all uncivil content. In this short essay, we discuss research on incivility, our rationale for a more complicated normative stance regarding incivility, and what other orientations may be more useful. We conclude with a post mortem arguing that we should not abandon research on incivility altogether, but we should recognize the limitations of a concept that is difficult to universalize

RIDE: Real-time Intrusion Detection via Explainable Machine Learning Implemented in a Memristor Hardware Architecture

Deep Learning (DL) based methods have shown great promise in network intrusion detection by identifying malicious network traffic behavior patterns with high accuracy, but their applications to real-time, packet-level detections in high-speed communication networks are challenging due to the high computation time and resource requirements of Deep Neural Networks (DNNs), as well as lack of explainability. To this end, we propose a packet-level network intrusion detection solution that makes novel use of Recurrent Autoencoders to integrate an arbitrary-length sequence of packets into a more compact joint feature embedding, which is fed into a DNN-based classifier. To enable explainability and support real-time detections at micro-second speed, we further develop a Software-Hardware Co-Design approach to efficiently realize the proposed solution by converting the learned detection policies into decision trees and implementing them using an emerging architecture based on memristor devices. By jointly optimizing associated software and hardware constraints, we show that our approach leads to an extremely efficient, real-time solution with high detection accuracy at the packet level. Evaluation results on real-world datasets (e.g., UNSW and CIC-IDS datasets) demonstrate nearly three-nines detection accuracy with a substantial speedup of nearly four orders of magnitude