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\"Why does music affect us so profoundly? The songs we love do far more than bring back happy memories. They impact the way we think, talk, feel, behave, and even spend money. With his conversational style, humor, and endless knowledge, scientist and musician John Powell explores the fascinating science of music, showing that shoppers spend more money in stores that play classical music and that music can even change the flavor of wine! With chapters on music and our emotions (why do we listen to sad music?), music as medicine (how does music reduce pain at the dentist?), music and intelligence (how does the 'Mozart effect' really work?), and much more, WHY YOU LOVE MUSIC provides a fascinating study of how our brains respond to the joys of music,\"--NoveList.

Renowned social justice advocate john a. powell persuasively argues that we have not achieved a post-racial society and that there is much work to do to redeem the American promise of inclusive democracy. Culled from a decade of writing about social justice and spirituality, these meditations on race, identity, and social policy provide an outline for laying claim to our shared humanity and a way toward healing ourselves and securing our future. Racing to Justice challenges us to replace attitudes and institutions that promote and perpetuate social suffering with those that foster relationships and a way of being that transcends disconnection and separation.

Coastal communities are expected to experience an increased episodic flooding threat as sea levels rise during the 21st century. While global sea level rise (SLR) is a significant contributor, local processes such as vertical land motion (VLM) influence the flooding threat timing and magnitude. This study estimated building financial losses for extreme sea level-driven flooding and relative sea level (RSL) change in New Zealand. Financial losses were calculated for individual building objects over a future 100-year period using SLR projections for medium confidence Shared Socio-economic Pathway (SSP) scenarios 2–4.5 and 5.8–5, with local VLM. Local VLM increased national 100-year coastal flooding losses by up to 15% at 2100 compared to SLR alone, and bringing forward the expected end-of-century losses by 10–12 years. At subnational levels, annual losses between 2050 and 2100 could occur up to 25 years earlier from downward land motion and 19 years later from upward motion. These findings highlight the importance of including VLM in coastal flood risk assessments to inform risk mitigation location and timing under changing RSLs.

Caring for children with rare genetic disorders is challenging due to complex medical needs and limited information. Often, information is scarce due to geographical dispersion and lack of access to expertise. Social media groups are increasingly used in parenting and in healthcare as tools for data sharing and acquisition, and online peer support. Online groups relating to specific rare diseases are increasingly used by parents navigating the difficulties of understanding their child's diagnosis and providing them with support. Parents expect professionals to interact with them about information reported from online groups, but little is known regarding the content within these groups and the impact on families. We aimed to synthesize current knowledge of social media use among parents and caregivers of children with a rare genetic syndrome to inform how these data might be used in parent-doctor interactions and in the research setting. We completed a comprehensive literature review across Web of Science, PubMed, and PsycINFO using a search strategy with themes of caregivers, rare genetic disease, and social media. Studies published in English from 2005 onwards, with parents and caregivers as a cohort and a focus on rare genetic diseases, were included. In total, 159 articles were identified, which underwent a title sift followed by an abstract sift based on inclusion and exclusion criteria. Reference lists of included articles were also reviewed. A total of 12 studies were included, and a critical synthesis methodology was used to extract relevant points. Most parents and caregivers use social media platforms, especially Facebook (Meta Platforms, Inc), particularly the group function. They are using social media groups as a tool for finding information related to their child's rare genetic disease. A majority also engaged in online groups by sharing information and contributions of their own. This review highlights that caregivers are seeking three main types of support from social media: (1) medical information around diagnosis and treatments, (2) practical tips on care needs and equipment, and (3) social support, involving connection with other families who shared similar experiences. The use of social media improved accessibility to information regardless of time or geography and reduced feelings of isolation. Caregivers felt empowered in decision-making, and their interactions with health care professionals improved. Challenges include misinformation, concerns around privacy, emotional impacts of comparison, and a lack of online spaces for the rarest conditions. Social media is a key tool for caregivers of children with rare genetic diseases. Addressing the associated challenges and harnessing the potential of these platforms can positively impact these families. Health care providers should consider discussing social media engagement in conversations with caregivers, and future research should focus on larger, longitudinal studies to explore the impacts of social media engagement.

Loïc Wacquant is one of the most influential sociological theorists of the contemporary era with his research and writings resonating widely across the social sciences. This edited collection critically responds to Wacquant's distinct approach to understanding the contemporary urban condition in advanced capitalist societies. It comprises chapters focused on Europe and North America from leading international scholars and new emergent voices, which chart new empirical, theoretical, and methodological territory.

ARPE-19 cells are derived from adult human retinal pigment epithelium (RPE). The response of these cells to the stress of serum deprivation mimics some important processes relevant to age-related macular degeneration (AMD). Here we extend the characterization of this response using RNASeq and EGSEA gene set analysis of ARPE-19 cells over nine days of serum deprivation. This experiment confirmed the up-regulation of cholesterol and lipid-associated pathways that increase cholesterol levels in these cells. The gene expression analysis also identified other pathways relevant to AMD progression. There were significant changes in extracellular matrix gene expression, notably a switch from expression of collagen IV, a key component of Bruch’s membrane (part of the blood-retina barrier), to expression of a fibrosis-like collagen type I matrix. Changes in the expression profile of the extracellular matrix led to the discovery that amelotin is induced in AMD and is associated with the development of the calcium deposits seen in late-stage geographic atrophy. The transcriptional profiles of other pathways, including inflammation, complement, and coagulation, were also modified, consistent with immune response patterns seen in AMD. As previously noted, the cells resist apoptosis and autophagy but instead initiate a gene expression pattern characteristic of senescence, consistent with the maintenance of barrier function even as other aspects of RPE function are compromised. Other differentially regulated genes were identified that open new avenues for investigation. Our results suggest that ARPE-19 cells maintain significant stress responses characteristic of native RPE that are informative for AMD. As such, they provide a convenient system for discovery and for testing potential therapeutic interventions.

Digital health technologies (DHTs) play an ever-expanding role in health care management and delivery. Beyond their use as interventions, DHTs also serve as a vehicle for real-world data collection to characterize patients, their care journeys, and their responses to other clinical interventions. There is a need to comprehensively map the evidence-across all conditions and technology types-on DHT measurement of patient outcomes in the real world. We aimed to investigate the use of DHTs to measure real-world clinical outcomes using patient-generated data. We conducted this systematic scoping review in accordance with the Joanna Briggs Institute methodology. Detailed eligibility criteria documented in a preregistered protocol informed a search strategy for the following databases: MEDLINE (Ovid), CINAHL, Cochrane (CENTRAL), Embase, PsycINFO, ClinicalTrials.gov, and the EU Clinical Trials Register. We considered studies published between 2000 and 2022 wherein digital health data were collected, passively or actively, from patients with any specified health condition outside of clinical visits. Categories for key concepts, such as DHT type and analytical applications, were established where needed. Following screening and full-text review, data were extracted and analyzed using predefined fields, and findings were reported in accordance with established guidelines. The search strategy identified 11,015 publications, with 7308 records after duplicates and reviews were removed. After screening and full-text review, 510 studies were included for extraction. These studies encompassed 169 different conditions in over 20 therapeutic areas and 44 countries. The DHTs used for mental health and addictions research (111/510, 21.8%) were the most prevalent. The most common type of DHT, mobile apps, was observed in approximately half of the studies (250/510, 49%). Most studies used only 1 DHT (346/510, 67.8%); however, the majority of technologies used were able to collect more than 1 type of data, with the most common being physiological data (189/510, 37.1%), clinical symptoms data (188/510, 36.9%), and behavioral data (171/510, 33.5%). Overall, there has been real growth in the depth and breadth of evidence, number of DHT types, and use of artificial intelligence and advanced analytics over time. This scoping review offers a comprehensive view of the variety of types of technology, data, collection methods, analytical approaches, and therapeutic applications within this growing body of evidence. To unlock the full potential of DHT for measuring health outcomes and capturing digital biomarkers, there is a need for more rigorous research that goes beyond technology validation to demonstrate whether robust real-world data can be reliably captured from patients in their daily life and whether its capture improves patient outcomes. This study provides a valuable repository of DHT studies to inform subsequent research by health care providers, policy makers, and the life sciences industry. Open Science Framework 5TMKY; https://osf.io/5tmky/.