Sections Of Text Research Articles

Reading comprehension and strategy use: Comparing bilingual children to their monolingual peers and to bilingual adults.

The current study investigated the predictive ability of language knowledge and reported strategy use on reading comprehension performance in English-speaking monolingual and bilingual students. One hundred fifty-five children in grade 4 through 6 (93 bilinguals and 62 monolinguals) were assessed on receptive vocabulary, word reading fluency, reading comprehension, and reading strategy use in English. An additional 38 adult bilinguals (i.e., English Language Learners) were assessed on the same measures. Although, the bilingual adult group and bilingual children had significantly lower English vocabulary knowledge relative to the monolingual children, the bilingual adults exhibited reading comprehension performance that was on par with the monolingual children; both groups outperformed the bilingual children. This discrepancy was accounted for by reported strategy use, wherein bilingual adults reported more inferencing, more connecting between sections of text and more reference to the text structure than the children. Reported strategy use also accounted for unique variance in reading comprehension performance above and beyond the contributions of English vocabulary knowledge and word reading fluency. Findings highlight the strategies that successful readers report and emphasize the value of promoting effective strategy selection in addition to language instruction in the development of reading comprehension skill.

The Voynich Manuscript: Decoded

The Voynich Manuscript (VM) is an illustrated codex hand-written in a unique writing system whose pages have been carbon-dated to 1404-1438 CE. The document has been studied by numerous cryptographers, but until this time no one has demonstrably deciphered the text. The Voynich Manuscript has been called "The World's Most Mysterious Manuscript" and "The Book Nobody Can Read.” Sections of the manuscript appear to deal with strange plants and flowers, naked women lounging in pools of water, celestial bodies such as stars, the moon and the Sun, and kitchen spices and herbs. This research shows that the strange Voynich symbols code for Arabic. An equivalency table between Arabic letters and the Voynich characters is developed, and large sections of the Voynich text are translated, including pages picturing flowers, stars, spices and women. A 600-word dictionary of Arabic-Voynich-English was developed. Translation reveals that the text deals exclusively with the Cathars, a religious heresy prominent in the south of France in the 12th – 13th centuries. A hypothesis is developed that the patron funding production of the Voynich Manuscript may have been Alfonso V, king of Aragon/Catalonia and, King of Naples.

Unfolding Political Emergence: The Knowledge of Visual Artworks in Peter Weiss’sThe Aesthetics of Resistance

Starting out from the interpretation of Picasso’s Guernica in Peter Weiss’s The Aesthetics of Resistance, this essay discusses how, why, and for what purposes Weiss inserted extensive discussions of classical and contemporary artworks in his novel. More specifically, and by introducing the two notions of the foldout and political emergence, the essay investigates how the visual artworks in Weiss’s narrative reconfigure understandings of temporality, collectivity, and realism. A central question concerns the novel’s way of transforming representations of objective oppression, and even death itself, into figures of emancipatory subjective agency. Analyses of the novel’s interpretive engagement with visual artworks such as Guernica demonstrate how these sections of the novelistic text interrupt historical temporality, establish a transhistorical collectivity, and superimpose the experience of the victim with the perspective of the witness. In this way, it is argued, Weiss’s narrative enables an identification with the mute experience of destruction while converting that experience into a future-oriented political force: the emergence and continuation of collective struggle.

VOICE ENBALED Q & A SYSTEM

— The aim of question answering is to respond to queries that are expressed in natural language (QA). Question answering systems offer automated ways to locate solutions to queries posed in natural language. One important development in information can be seen in the concept of question-answering systems particularly in its capacity to retrieve information resources in a natural way, retrieval technologies method through effective wordfor-word querying and retrieval of the appropriate responses. The development of machine learning algorithms like text summarizing, which can automatically shorten lengthier texts and extract summaries of individual sections of text without losing the meaning, is another result of advances in NLP. Text summary is a cutting-edge method of information processing in a time-constrained and efficiency-obsessed culture. It shortens the amount of time needed to read and makes finding, analyzing, and assimilation of relevant information simpler. In order to answer the questions that users have asked and to provide a concise overview of the same context, a novel method for extracting text from a picture and converting it into text files has been developed. In order to validate the proposed methodologies, a manual evaluation of the quality of the responses was also carried out.

From Strange to Normal: Computational Approaches to Examining Immigrant Incorporation Through Shifts in the Mainstream

This article presents a computational approach to examining immigrant incorporation through shifts in the social “mainstream.” Analyzing a historical corpus of American etiquette books, texts from 1922–2017 describing social norms, we identify mainstream shifts related to long-standing groups which once were and may currently still be seen as immigrant outsiders in the United States: Catholic, Chinese, Irish, Italian, Jewish, Mexican, and Muslim groups. The analysis takes a computational grounded theory approach, combining qualitative readings and computational text analyses. Using word embeddings, we operationalize the chosen groups as focal group concepts. We extract sections of text that are salient to the focal group concepts to create group-specific text corpora. Two computational approaches make it possible to examine mainstream shifts in these corpora. First, we use sentiment analysis to observe the positive sentiment in each corpus and its change over time. Second, we observe changes in each corpus's position on a semantic dimension represented by the poles of “strange” and “normal.” The results indicate mainstream shifts through increases in positive sentiment and movement from strange to normal over time for most of the group-specific corpora. These research techniques can be adapted to other studies of social sentiment and symbolic inclusion.

Mainstream media discourse around top surgery in Aotearoa New Zealand: a qualitative analysis

**Background**: Gender-affirming breast surgery (colloquially known as ‘top surgery’) can be an important intervention for transgender individuals. Top surgery is also a key component of care for non-binary and gender non-conforming individuals. New Zealand (NZ) secondary care physicians are not aware of all available services, and no studies have investigated public perception of availability and funding of top surgery in NZ.**Method**: To investigate public perception around top surgery in NZ, we analysed the text and comments sections of all relevant NZ news articles over a five-year period, utilising a general inductive thematic analysis approach.**Results**: The analysis resulted in a model of four themes–public funding, [trans] experiences, [trans] issues amenable to intervention and [trans] issues not amenable to intervention.**Conclusion**: The discourse around top surgery in NZ is mixed; some individuals consider top surgery to be an essential medical procedure deserving of public funding, while others describe it as a frivolous cosmetic procedure. The perspectives of transgender individuals clearly communicated a frustration around a lack of funding and transparency in the availability of top surgery in NZ. We recommend the release of clear criteria from the Ministry of Health regarding public funding and availability of top surgery across NZ to address this frustration.

Advancing qualitative rare disease research methodology: a comparison of virtual and in-person focus group formats

BackgroundRare disease research is hampered in part by the fact that patients are geographically dispersed. Rare disease patient communities are recognized for their use of the internet to learn about their condition and find peer-to-peer support. As such, web-based technologies offer promise for overcoming geographic barriers in rare disease research for many. Qualitative focus groups (FGs) are a widely used methodology used to understand patients and parents/families ‘lived experience’ and unmet needs is important to improve care for rare diseases. It is unclear if web-enabled (virtual) FGs are comparable to traditional in-person approaches. We conducted in-person (n = 3) and virtual (n = 3) FGs with rare disease patients to determine if virtual FGs produce similar results in-person FGs.ResultsThree in-person (n = 33 participants) and three virtual (n = 25 participants) FGs were conducted examining attitudes and beliefs regarding genetic testing and family communication of risk. Participants included 30 males, 18 females, and 10 parents/guardians. Two independent investigators identified excerpts (meaningful sections of text) and coded themes/sub-themes using a codebook. Inter-coder agreement across identified excerpts (n = 530) in both FG formats was 844/875 (96.5%). Two additional investigators reviewed coded excerpts and did not identify additional themes/sub-themes—supporting data saturation across FG formats. Virtual FGs accounted for 303/530 (57.2%) of total excerpts and 957/1721 (55.7%) of all identified themes/sub-themes. Formats were similar in terms of overall number of excerpts (101 ± 7.8 vs. 75.7 ± 18.8, p = 0.26) and themes/sub-themes (319 ± 6.1 vs. 254.7 ± 103.6, p = 0.34) between virtual and in-person FGs. However, virtual FGs had significantly more coded excerpts specifically relating to sensitive/intimate topics including ‘attitudes and beliefs’ (n = 320 vs. n = 235, p < 0.001), ‘information and support’ (n = 184 vs. n = 99, p < 0.001), and ‘family communication’ (n = 208 vs. n = 114, p < 0.001).ConclusionsVirtual FGs yielded similar numbers of coded excerpts compared to traditional in-person FGs. Virtual FGs appear to support the relative anonymity of participants, resulting in richer discussion of highly sensitive, intimate topics. Findings support the validity and methodologic rigor of using web-enabled technologies for conducting FGs in rare diseases.

Multilingualism in Periodical studies — A Social History Perspective

Multilingualism in Periodical studies — A Social History Perspective

Thomas R. Schreiner. Hebrews

Thomas R. Schreiner. <i>Hebrews</i>

An Analysis Of The Messages Given Through Visuals In Refugee Themed Chıldren's Books

Bu araştırmada mültecilik konulu üç resimli çocuk kitabı, görseller ve metinler aracılığıyla verilen mesajlar açısından çözümlenmiştir. Araştırmada nitel araştırma yöntemlerinden doküman incelemesi yöntemi kullanılmıştır. İncelenen üç resimli çocuk kitabında metinler ve görseller, “Göç Öncesi Dönem”, “Göç Yolculuğu Dönemi” ve “Göç Sonrası Dönem” başlıkları altında ele alınmıştır. İncelenen yapıtların görsel ve yazılı ifadeleri uyumlu bir şekilde tasarlanmıştır. Metin kesitlerinde sözü edilen olaylar ve durumlar, ilgili görsele başarılı bir şekilde yansıtılmıştır. İncelenen üç resimli yapıtta da yazılı ifadeler, olabildiğince kısa, yalın ve derin anlamlı bir anlatım tarzıyla aktarılmıştır. Görseller açısından bakıldığında üç yapıtın farklı özellikler taşıdıkları görülmektedir. “Benim Adım Mülteci Değil” adlı yapıttaki görseller, “Taştan Adımlar” ve “Yolculuk” adlı yapıtlara göre oldukça alışılageldik çizim tarzına sahiptir. Buna karşın “Taştan Adımlar” adlı yapıtta “taşlardan yararlanarak oluşturulmuş” görseller varken “Yolculuk” adlı yapıtta kahramanlar masalsı çizimlerle tasarlanmıştır.

Analisis Wacana Kritis Norman Fairclough Representasi Kehidupan Religius Cerpen Mbah Sidiq Karya A. Mustofa Bisri

Critical discourse analysis (AWK) is one of the views on language in discourse analysis which views powers as always involved in the formation of subjects represented in language. The AWK model used in this paper is Norman Fairclough's critical discourse analysis. Critical discourse analysis which generally analyzes media texts can also be done to analyze literary works including short stories. The short story analyzed by Norman Fairclough's discourse analysis is Mbah Sidiq's short story by A. Mustofa Bisri which is presented in the book Collection of Short Calligraphy Paintings. In Norman Fairclough's discourse analysis, texts, discourse practice, and sociocultural practice are examined. Through the descriptive method, finally the three aspects of Norman Fairclough's discourse analysis can be answered. In the text section, the researcher can find three basic elements in the Norman Fairclough model, namely the elements of representation, relations and identity in Mbah Sidiq's short story. While this paper will only discuss one element, namely representation. Mbah Sidiq's short story above is an Islamic short story with a Javanese cultural background. The short story displays a portrait of the life of the Javanese and Indonesian Islamic communities. In addition, Gus Mus, through his short stories, also tries to criticize the behavior and social conditions of Javanese society and Indonesian Islamic society in general, which still cannot separate religious spiritual behavior from ancestral traditions which sometimes contradict Islamic teachings. This was done because Gus Mus in his daily life is a kiai, a preacher who cares for a boarding school, which incidentally is someone who has deeply studied and mastered the Islamic sciences.

The Invisible Church: C. P. E. Bach, Die Israeliten in der Wüste ‒ A Freemasonic Oratorio?

Abstract The miracle narrative of the first oratorio by C. P. E. Bach – the escape of the people of Israel from the thirst death by Moses – comes from the Book of Exodus. In the course of the second part of the work, however, the figure of Moses is unexpectedly taken over by the Redeemer. The place turns out to be a paraphrase of Genesis 3:15. In the context of the German Enlightenment the biblical story can be interpreted as a reference to the assimilation process of the Jewish community. The composed libretto includes an interpolation, which speaks about the real advent of the Messiah, thus placing the work among the representatives of the messianic-cult of the Enlightenment. The interpolated text section focuses on the religion above religions as imagined by the latitudinarianism of the leading philosophers of the Enlightenment and testifies to the Masonic spirit in it. The text of the final chorus re-interprets the church dedication (the original function of Bach’s oratorio) as the dedication of the invisible Church: the soul.

Radiology Text Analysis System (RadText): Architecture and Evaluation.

Analyzing radiology reports is a time-consuming and error-prone task, which raises the need for an efficient automated radiology report analysis system to alleviate the workloads of radiologists and encourage precise diagnosis. In this work, we present RadText, a high-performance open-source Python radiology text analysis system. RadText offers an easy-to-use text analysis pipeline, including de-identification, section segmentation, sentence split and word tokenization, named entity recognition, parsing, and negation detection. Superior to existing widely used toolkits, RadText features a hybrid text processing schema, supports raw text processing and local processing, which enables higher accuracy, better usability and improved data privacy. RadText adopts BioC as the unified interface, and also standardizes the output into a structured representation that is compatible with Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM), which allows for a more systematic approach to observational research across multiple, disparate data sources. We evaluated RadText on the MIMIC-CXR dataset, with five new disease labels that we annotated for this work. RadText demonstrates highly accurate classification performances, with a 0.91 average precision, 0.94 average recall and 0.92 average F-1 score. We also annotated a test set for the five new disease labels to facilitate future research or applications. We have made our code, documentations, examples and the test set available at https://github.com/bionlplab/radtext.

Capturing Sequences of Learners' Self-Regulatory Interactions With Instructional Material During Game-Based Learning Using Auto-Recurrence Quantification Analysis.

Undergraduate students (N = 82) learned about microbiology with Crystal Island, a game-based learning environment (GBLE), which required participants to interact with instructional materials (i.e., books and research articles, non-player character [NPC] dialogue, posters) spread throughout the game. Participants were randomly assigned to one of two conditions: full agency, where they had complete control over their actions, and partial agency, where they were required to complete an ordered play-through of Crystal Island. As participants learned with Crystal Island, log-file and eye-tracking time series data were collected to pinpoint instances when participants interacted with instructional materials. Hierarchical linear growth models indicated relationships between eye gaze dwell time and (1) the type of representation a learner gathered information from (i.e., large sections of text, poster, or dialogue); (2) the ability of the learner to distinguish relevant from irrelevant information; (3) learning gains; and (4) agency. Auto-recurrence quantification analysis (aRQA) revealed the degree to which repetitive sequences of interactions with instructional material were random or predictable. Through hierarchical modeling, analyses suggested that greater dwell times and learning gains were associated with more predictable sequences of interaction with instructional materials. Results from hierarchical clustering found that participants with restricted agency and more recurrent action sequences had greater learning gains. Implications are provided for how learning unfolds over learners' time in game using a non-linear dynamical systems analysis and the extent to which it can be supported within GBLEs to design advanced learning technologies to scaffold self-regulation during game play.

Factors associated with play behavior in human-cat dyads

Play is a common behavior, often exhibited within human-cat dyads. Play is a behavior that may have numerous benefits to both cat and human, including within the realms of social cooperation and inter-species communication. However, little is known about human-cat play and foundational information is needed. The current study aimed to investigate total daily play durations, play session lengths, and the factors associated with play times in human-cat dyads.An online survey was developed using demographic information, questions related to play times, resources available to the cat, “games” played with the cat, free text sections and the following validated measures: cat quality of life (QOL), the cat owner relationship scale (CORS) and the human adult playfulness trait scale (APTS). Regression analysis was conducted using SPSS 26.Responses were completed by 1,591 cat guardians from 55 countries. Total daily play times and play session lengths were both significantly higher in human-cat dyads where the cat was younger in age, the guardian reported playing a larger diversity of “games” with the cat, and the guardian reported experiencing a closer relationship with their cat. Some guardians reported avoiding play during times when they were too busy or due to fears over incurring injuries.The amount of play available in human-cat dyads may have an effect on establishing and maintaining social bonds between cats and their humans. Further research into understanding play within human-cat dyads and how it affects inter-species relationships is needed.

An OCR Post-Correction Approach Using Deep Learning for Processing Medical Reports

According to a recent Deloitte study, the COVID-19 pandemic continues to place a huge strain on the global health care sector. Covid-19 has also catalysed digital transformation across the sector for improving operational efficiencies. As a result, the amount of digitally stored patient data such as discharge letters, scan images, test results or free text entries by doctors has grown significantly. In 2020, 2314 exabytes of medical data was generated globally. This medical data does not conform to a generic structure and is mostly in the form of unstructured digitally generated or scanned paper documents stored as part of a patient’s medical reports. This unstructured data is digitised using Optical Character Recognition (OCR) process. A key challenge here is that the accuracy of the OCR process varies due to the inability of current OCR engines to correctly transcribe scanned or handwritten documents in which text may be skewed, obscured or illegible. This is compounded by the fact that processed text is comprised of specific medical terminologies that do not necessarily form part of general language lexicons. The proposed work uses a deep neural network based self-supervised pre-training technique: Robustly Optimized Bidirectional Encoder Representations from Transformers (RoBERTa) that can learn to predict hidden (masked) sections of text to fill in the gaps of non-transcribable parts of the documents being processed. Evaluating the proposed method on domain-specific datasets which include real medical documents, shows a significantly reduced word error rate demonstrating the effectiveness of the approach.

Words Matter: Examining Gender Differences in the Language Used to Evaluate Pediatrics Residents.

Gender disparities in academic medicine continue to be pervasive. Written evaluations of residents may provide insight into perceptions of residents by faculty, which may influence letters of recommendation for positions beyond residency and reinforce perceived stereotype threat experienced by trainees. To examine language used in faculty evaluations of pediatrics residents to determine if there are differences in language used with respect to gender of resident. All faculty evaluations of residents in 3 consecutive intern classes from 2016 to 2018 were collected and redacted for name and gender identifiers. We performed a qualitative analysis of written comments in 2 mandatory free text sections. The study team initially coded text collectively, generating a code book, then individually to apply the coding scheme. Next, evaluations were unblinded to gender. Code applications were aggregated by resident, and frequencies of code application by resident were compared by standardized mean differences to detect imbalances between genders. A total of 448 evaluations were analyzed: 88 evaluations of 17 male residents, and 360 evaluations of 70 female residents. Codes more frequently applied to women included "enthusiasm," and "caring," while codes more frequently applied to men included "intelligence," and "prepared." A conceptual model was created to reflect potential impacts of these differences using a lens of social role theory. We identified differences in the way male and female residents are evaluated by faculty, which may have negative downstream effects on female residents, who may experience negative self-perception, differential development of clinical skills, and divergent career opportunities as a result.

How do medical students’ experiences inform their opinions of general practice and its potential as a future career choice?

ABSTRACT Recruitment of general practitioners (GPs) in the UK has been suboptimal. There is a wealth of literature exploring recruitment into general practice and opinions of general practice, set in many contexts. This paper aims to synthesise all the elements and extract mechanisms to explain what works, for whom in what circumstances, to create a comprehensive understanding and highlight potential target areas for improvement to improve understanding and fuel interest in general practice careers. A realist review of literature and contemporary data was conducted in line with RAMESES standards. Analysis and synthesis were aided by NVivo. An initial program theory was developed following discussion with expert informers. Sections of text from included literature relating to program theory were extracted and synthesised into a final program theory using a realist logic of analysis in which recurring Context-Mechanism-Outcome configurations (CMOCs) were identified. Searches identified 27 relevant documents. Twenty recurring CMOCs were extracted, explaining how student perceptions of General Practice were influenced by placement experiences, comments from hospital doctors, medical school faculty, peers, GPs, student perceptions of lifestyle and the media. The GP placement environment plays an important role in the formation of opinions about the speciality. The impact of social influence varies depending on the student’s desire to belong to a reference group and their level of self-monitoring behaviour. The ‘GP lifestyle’ was judged to be compatible with many students’ needs. This realist review provides recommendations on how curricula can adapt to provide an accurate insight into general practice.

Constructing theoretically informed measures of pause duration in experimentally manipulated writing

This paper argues that traditional threshold-based approaches to the analysis of pauses in writing fail to capture the complexity of the cognitive processes involved in text production. It proposes that, to capture these processes, pause analysis should focus on the transition times between linearly produced units of text. Following a review of some of the problematic features of traditional pause analysis, the paper is divided into two sections. These are designed to demonstrate: (i) how to isolate relevant transitions within a text and calculate their durations; and (ii) the use of mixture modelling to identify structure within the distributions of pauses at different locations. The paper uses a set of keystroke logs collected from 32 university students writing argumentative texts about current affairs topics to demonstrate these methods. In the first section, it defines how pauses are calculated using a reproducible framework, explains the distinction between linear and non-linear text transitions, and explains how relevant sections of text are identified. It provides Excel scripts for automatically identifying relevant pauses and calculating their duration. The second section applies mixture modelling to linear transitions at sentence, sub sentence, between-word and within-word boundaries for each participant. It concludes that these transitions cannot be characterised by a single distribution of “cognitive” pauses. It proposes, further, that transitions between words should be characterised by a three-component distribution reflecting lexical, supra-lexical and reflective processes, while transitions at other text locations can be modelled by two-component distributions distinguishing between fluent and less fluent or more reflective processing. The paper concludes by recommending that, rather than imposing fixed thresholds to distinguish processes, researchers should instead impose a common set of theoretically informed distributions on the data and estimate how the parameters of these distributions vary for different individuals and under different conditions.

Annual Meeting Session to Offer Overview of DSM-5-TR

Back to table of contents Previous article Next article Annual MeetingFull AccessAnnual Meeting Session to Offer Overview of DSM-5-TRSearch for more papers by this authorPublished Online:23 Mar 2022https://doi.org/10.1176/appi.pn.2022.04.4.23AbstractNine years have elapsed since publication of DSM-5 in 2013. Psychiatrists can learn what they need to know about DSM-5-TR at this year’s Annual Meeting.The DSM-5 text revision (DSM-5-TR), released in March by APA Publishing, is the first published revision of DSM-5 since its original publication in 2013. Psychiatrists attending this year’s Annual Meeting in New Orleans can learn everything they need to know about this crucial text at a session titled “DSM-5-TR: What’s New and Why Clinicians Should Care.”DSM-5-TR is a comprehensive update of the descriptive text accompanying each DSM disorder based on reviews of the literature since publication of DSM-5. But the new edition also includes a number of significant changes and improvements that are of interest to practicing clinicians. Among them:Michael First, M.D., DSM-5-TR editor, will provide an overview of the significant changes and improvements that have been made to the manual.Eve VaggAddition of diagnostic categories for prolonged grief disorder, stimulant-induced mild neurocognitive disorder, and unspecified mood disorder. (The absence of unspecified mood disorder from DSM-5 was an unintentional byproduct of the decision to eliminate the mood disorders diagnostic class from DSM-5 in favor of making bipolar disorders and depressive disorders top-level diagnostic classes.)New symptom codes for reporting suicidal and nonsuicidal self-injurious behavior.Modifications of the diagnostic criteria for over 70 disorders.Updates in terminology (for instance, replacing “neuroleptic medications” with “antipsychotic medications or other dopamine receptor blocking agents” and changing “desired gender” to “experienced gender” in the text for gender dysphoria).A new focus on how social determinants of mental health—including racism and discrimination—impact mental health in different communities and renewed attention to the use of nonstigmatizing language.The session will be presented by DSM-5-TR Editor Michael First, M.D. He will describe the revision process and summarize the changes, highlighting those that are most clinically significant.“DSM is widely regarded as the most authoritative source of information about most aspects of mental disorders except treatment,” First told Psychiatric News. “This information, encapsulated in the DSM text, is continually evolving. Consequently, it is crucial for the text to be kept up to date based on evolving psychiatric literature. DSM-5 text sections on ‘Risk and Prognostic Factors’ and ‘Diagnostic Markers’ contain information more susceptible to becoming outdated on the basis of scientific advances. Nine years have elapsed since publication of DSM-5 in 2013, longer than historical revisions to DSM after five to seven years.”Most noteworthy is the addition of a new disorder, prolonged grief disorder. First said the addition is the result of years of research and clinical experience indicating that some people experience a pervasive inability to move past grief over the loss of a loved one and that these symptoms are severe enough to affect day-to-day functioning. It is estimated that following the nonviolent loss of a loved one, 1 in 10 bereaved adults is at risk for developing prolonged grief disorder, he said. ■“DSM-5-TR: What’s New and Why Clinicians Should Care” will be held Saturday, May 21, from 10:30 a.m. to noon. ISSUES NewArchived