Re-Inventing Adherence: Toward a Patient-Centered Model of Care for Drug-Resistant Tuberculosis and HIV

BACKGROUND—Despite renewed focus on molecular tuberculosis (TB) diagnostics and new antimycobacterial agents, treatment outcomes for patients co-infected with drug-resistant TB and human immunodeficiency virus (HIV) remain dismal, in part due to lack of focus on medication adherence as part of a patient-centered continuum of care. OBJECTIVE—To review current barriers to drug-resistant TB-HIV treatment and propose an alternative model to conventional approaches to treatment support. DISCUSSION—Current national TB control programs rely heavily on directly observed therapy (DOT) as the centerpiece of treatment delivery and adherence support. Medication adherence and care for drug-resistant TB-HIV could be improved by fully implementing team-based patient-centered care, empowering patients through counseling and support, maintaining a rights-based approach while acknowledging the responsibility of health care systems in providing comprehensive care, and prioritizing critical research gaps. CONCLUSION—It is time to re-invent our understanding of adherence in drug-resistant TB and HIV by focusing attention on the complex clinical, behavioral, social, and structural needs of affected patients and communities

Calibration and validation of a simulation model for predicting pedestrian fatalities at unsignalized crosswalks by means of statistical traffic data

This work presents a simulation model for unsignalized crosswalks which takes into account collisions between vehicles and pedestrians, thus allowing to assess the estimated yearly pedestrian fatality. In particular, we focus on a method to calibrate such a model combining measurable crosswalk characteristics, such as maximum speed limit or drivers' compliance, with statistical data for past accidents obtained from local municipality. In order to perform simulations under realistic conditions, we constructed a one-week scenario where pedestrian and vehicle traffic vary using specific patterns each hour of the week. The constructed traffic profile is based on openly available data and the suitability for the scenario considered (a crosswalk in Milan, Italy) is investigated showing that cultural/lifestyle elements determine the variation of weekly traffic. Simulations using the constructed one-week scenario were used to obtain the only non-measurable parameter which account for pedestrians' and drivers' distraction. In addition, we also focused on the presence of elderly pedestrians which have different physiological characteristics compared to adults or children and are becoming an important part of the population in several countries around the globe. The simulation model presented here and the method suggested for calibration may be employed in different contexts, thus allowing to build an important tool to be used not only for transportation efficiency/optimization but also for safety analysis. Keywords: Traffic simulation, Accident prevention, Unsignalized crosswalk, Vehicle-pedestrian interaction, Weekly traffic variatio

Plant-Based Meat Analogues

As the world's population increases, the need for reliable protein sources is growing. Meat is considered a good source of high biological value protein, but meat is not sustainable. In Western countries, the shift toward a diet with reduced meat consumption demands healthy and tasteful meat-free food products. Following this trend, the market turned toward vegetable proteins, such as pulses, wheat gluten and soy protein, which are processed into meat-like products, also known as meat analogues. These products approximate certain aesthetic qualities, such as texture, flavor, and color, and nutritional characteristics of specific types of meat. The development of new, attractive food products is a challenge already, but this challenge becomes even greater considering that these products are meant as a substitute for meat. This chapter discusses the insights concerning plant-based meat analogues, their production and future developments

Framing Arab Refugees in Global News

This study examines the framing of Arab refugees and asylum seekers in the global news, represented by the news stories published on the online edition of CNN. Based on the framing theory, the quantitative content analysis found the attribution of responsibility frame to be the most salient and frequent frame in the coverage of Arab refugees and asylum seekers. The responsibility frame ascribing the Arab refugee crisis or its resolution to different actors and groups surpassed the other four news frames— human interest, conflict, economic consequences, and morality; although the five frames were existent in coverage. The lone hypothesis of the study expecting thematic frames to be more common than episodic frames was found supported. That is, the news coverage of Arab refugees tended to be thematic, as it covered the issue in the broader context, whereas episodic frames that focus on individual accounts and personal stories were less frequent. Security terms that describe Arab refugees as potential threats were found more often than the humanitarian terms that frame them as victims. The study pinpointed the lack of photos and voices of Arab refugees in the news coverage, as 90% of the relevant news articles did not include their quotes, whilst around two-thirds of the news stories did not include any of their images. The featured quotes tend to frame Arab refugees negatively, whereas the embedded photos presented more positive frames, however, the overall framing of Arab refugees and asylum seekers in CNN news stories tended to be generally balanced