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It is unclear whether there are universal patterns to music across cultures. Mehr et al. examined ethnographic data and observed music in every society sampled (see the Perspective by Fitch and Popescu). For songs specifically, three dimensions characterize more than 25% of the performances studied: formality of the performance, arousal level, and religiosity. There is more variation in musical behavior within societies than between societies, and societies show similar levels of within-society variation in musical behavior. At the same time, one-third of societies significantly differ from average for any given dimension, and half of all societies differ from average on at least one dimension, indicating variability across cultures. Science , this issue p. eaax0868 ; see also p. 944 Songs exhibit universal patterns across cultures. What is universal about music, and what varies? We built a corpus of ethnographic text on musical behavior from a representative sample of the world’s societies, as well as a discography of audio recordings. The ethnographic corpus reveals that music (including songs with words) appears in every society observed; that music varies along three dimensions (formality, arousal, religiosity), more within societies than across them; and that music is associated with certain behavioral contexts such as infant care, healing, dance, and love. The discography—analyzed through machine summaries, amateur and expert listener ratings, and manual transcriptions—reveals that acoustic features of songs predict their primary behavioral context; that tonality is widespread, perhaps universal; that music varies in rhythmic and melodic complexity; and that elements of melodies and rhythms found worldwide follow power laws.

Comparing comprehension outcomes in print and digital reading is an active area of research but little is known about the reading processes that these media entail. This study involved an eye-tracking experiment with 50 undergraduate students to investigate the differences in reading processes in print and digital media. The participants were randomly assigned to read the same six-page popular science article that included several diagrams either in print or on a tablet computer and then answer reading comprehension questions. The results showed that comprehension was better when reading in print. Eye-movement data indicated that the print and digital groups spent about the same amount of time processing the article, texts, diagrams, and diagram statements, but the time was not divided evenly between the first pass and the rereading stages. The digital group spent more time reading the article at the first-pass reading stage and seldom reread it. In contrast, the print group first skimmed the article and then reread the important parts, exhibiting both longer total fixation durations in the rereading stage and a higher number of rereading instances across pages. In sum, the findings indicate that reading in print versus digital media employs different cognitive strategies with those reading in print showing more selective and intentional reading behavior.

This study explored differences that might exist in comprehension when students read digital and print texts. Ninety undergraduates read both digital and print versions of newspaper articles and book excerpts on topics of childhood ailments. Prior to reading texts in counterbalanced order, topic knowledge was assessed and students were asked to state medium preferences. After reading, students were asked to judge under which medium they comprehended best. Results demonstrated a clear preference for digital texts, and students typically predicted better comprehension when reading digitally. However, performance was not consistent with students' preferences and outcome predictions. While there were no differences across mediums when students identified the main idea of the text, students recalled key points linked to the main idea and other relevant information better when engaged with print. No differences in reading outcomes or calibration were found for newspaper or book excerpts.

Speech and dialogue are the heart of politics: nearly every political institution in the world involves verbal communication. Yet vast literatures on political communication focus almost exclusively on what words were spoken, entirely ignoring how they were delivered—auditory cues that convey emotion, signal positions, and establish reputation. We develop a model that opens this information to principled statistical inquiry: the model of audio and speech structure (MASS). Our approach models political speech as a stochastic process shaped by fixed and time-varying covariates, including the history of the conversation itself. In an application to Supreme Court oral arguments, we demonstrate how vocal tone signals crucial information—skepticism of legal arguments—that is indecipherable to text models. Results show that justices do not use questioning to strategically manipulate their peers but rather engage sincerely with the presented arguments. Our easy-to-use R package, communication, implements the model and many more tools for audio analysis.

Analyzing the quality of classroom talk is central to educational research and improvement efforts. In particular, the presence of authentic teacher questions, where answers are not predetermined by the teacher, helps constitute and serves as a marker of productive classroom discourse. Further, authentic questions can be cultivated to improve teaching effectiveness and consequently student achievement. Unfortunately, current methods to measure question authenticity do not scale because they rely on human observations or coding of teacher discourse. To address this challenge, we set out to use automatic speech recognition, natural language processing, and machine learning to train computers to detect authentic questions in real-world classrooms automatically. Our methods were iteratively refined using classroom audio and humancoded observational data from two sources: (a) a large archival database of text transcripts of 451 observations from 112 classrooms; and (b) a newly collected sample of 132 high-quality audio recordings from 27 classrooms, obtained under technical constraints that anticipate large-scale automated data, col lection and analysis. Correlations between humancoded and computer-coded authenticity at the classroom level were sufficiently high (r = .602 for archival transcripts and .687 for audio recordings) to provide a valuable complement to human coding in research efforts.

Research on text comprehension in relation to the reading medium (paper or screen) has mainly involved undergraduate or high school students. To advance current knowledge on the effects of reading medium, this longitudinal study focused on beginner readers, specifically, the role of precursors in first graders’ comprehension of narrative and expository linear texts from reading on paper and computer screen. Working memory and inference skills as cognitive precursors and basic digital skills were measured at the end of preschool (T1); reading text comprehension and word reading, as a control variable, were measured at the end of the first grade (T2). Sixty-three children participated in total. The first graders read four texts, one narrative and one expository, on both paper and computer screen, in a counterbalanced order. Results showed no main effects of the reading medium or text genre, but the interactive effect of these variables was significant. At T2, the children had higher comprehension scores after reading narrative than descriptive texts from paper. In addition, reading from the screen was preferred at post-test, after all texts were presented. As precursors, working memory and inference skills predicted both printed and digital text comprehension. In contrast, basic digital skills predicted only digital text comprehension after controlling for medium, text genre, and word reading.

BackgroundDelayed recognition of clinical deterioration can result in harm to patients. Parents/carers can often recognise changes in the child’s condition before healthcare professionals (HCPs). To mitigate the risk of failure to rescue and promote early intervention, family-activated rapid response (FARR) systems are part of family-integrated care. Mechanisms for parents/carers to escalate concerns regarding their child’s clinical status remain limited to direct verbal communication, which may impede those with communication/linguistic challenges.AimTo develop a digital multilingual intervention by which families/carers can escalate their concerns directly to the rapid response team while in acute paediatric care.MethodsA single-centre qualitative, co-design app development study was conducted. Evidence synthesis from a systematic review of the international literature informed interviews on intervention prototype development using co-design focus groups. Participant recruitment targeted underserved communities for multilingual functionality validity. Data were analysed using qualitative content analysis.ResultsThirty parents/carers (n=16) and HCPs (n=14) participated in the study. Three themes were generated from the data analysis: (1) relational considerations; communication, professional and parental attributes, and collaborative working; (2) technology considerations; app content, usage and outcomes; and (3) individual and environmental considerations; parental and professional elements, and workload. A FARR app prototype was developed based on the data.ConclusionThe prototype app provides a platform to develop a coordinated and consistent technological approach to paediatric FARR that acknowledges cultural nuances and preferences, ensuring that parents can communicate in a manner that aligns with their cultural background and communication abilities, thereby enhancing the quality of care delivered.

Families are not frozen dioramas; they are alive, active, and changing. Models of real-life marital and family processes require many moving pieces. An intensive repeated measures approach reaches beyond static representations of the family toward more dynamic models that depict \"life as it is lived.\" The appearance of studies that use diaries and biological sampling in everyday life has burgeoned in the family research literature. These methods are part of a larger class of naturalistic methods that assess families in action and that includes direct video and audio recordings of families in their everyday environments. This article summarizes research that uses diaries, observations, and biological data collected over time in natural settings to study families. It provides an overview of the major research questions, designs, methods of data collection, and statistical models used in those literatures. Theoretical contributions and next steps in naturalistic research on families are discussed.

Purpose: The human voice changes with the progression of neurological disease and the onset of diseases that affect articulators, often decreasing the effectiveness of communication. These changes can be objectively measured using signal processing techniques that extract acoustic features. When measuring acoustic features, there are often several steps and assumptions that might be known to experts in acoustics and phonetics, but are less transparent for other disciplines (e.g., clinical medicine, speech pathology, engineering, and data science). This tutorial describes these signal processing techniques, explicitly outlines the underlying steps for accurate measurement, and discusses the implications of clinical acoustic markers. Conclusions: We establish a vocabulary using straightforward terms, provide visualizations to achieve common ground, and guide understanding for those outside the domains of acoustics and auditory signal processing. Where possible, we highlight the best practices for measuring clinical acoustic markers and suggest resources for obtaining and further understanding these measures.

Compassion is a core value of the nursing profession which enables nurses to empathize with and help alleviate patient suffering. Literature increasingly reports a lack of compassion in patient care by students and junior nurses; empirical knowledge regarding experiences of compassionate care among nursing students remains understudied. Student experiences in the clinical setting may influence their development of compassion competencies. This study explored the experiences of baccalaureate nursing students in gaining competencies to deliver compassionate care during their clinical practice year. A descriptive qualitative study using semi-structured in-depth interviews was conducted. Thematic analysis was employed, generating six themes. The first three themes depict positive aspects of compassion development, including ‘gaining patient acceptance,’ ‘motivation for professional growth,’ and ‘establishing an emotional bond with patients.’ On the other hand, the other three themes capture the barriers to compassionate care, ‘distrust,’ ‘fear of harm due to violence,’ and ‘heavy workload.’ The positive and negative experiences shared by students indicate that hospital and nursing administrators need to foster a positive practice environment and nursing instructors should become role models to encourage compassionate care. •Providing compassionate care helps nursing students to gain acceptance by patients and be motivated for professional growth.•Students’ experiences of distrust, violence and heavy workload from patients and instructors hinder compassionate care.•Hospital and nursing administrators need to foster a positive practice environment.•Nursing instructors should be role models to promote compassionate care.