A New Concept of Electronic Text Based on Semantic Coding System for Machine Translation

In the field of machine translation of texts, the ambiguity in both lexical (dictionary) and structural aspects is still one of the difficult problems. Researchers in this field use different approaches, the most important of which is machine learning in its various types. The goal of the approach that we propose in this article is to define a new concept of electronic text, which makes the electronic text free from any lexical or structural ambiguity. We used a semantic coding system that relies on attaching the original electronic text (via the text editor interface) with the meanings intended by the author. The author defines the meaning desired for each word that can be a source of ambiguity. The proposed approach in this article can be used with any type of electronic text (text processing applications, web pages, email text, etc.). Thanks to the approach that we propose and through the experiments that we have conducted using it, we can obtain a very high accuracy rate. We can say that the problem of lexical and structural ambiguity can be completely solved. With this new concept of electronic text, the text file contains not only the text but also with it the true sense of the exact meaning intended by the writer in the form of symbols. These semantic symbols are used during machine translation to obtain a translated text completely free of any lexical and structural ambiguity.

Home Health Care Utilization in Children With Medicaid

BACKGROUND: Although many children with medical complexity (CMC) use home health care (HHC), little is known about all pediatric HHC utilizers. Our objective was to assess characteristics of pediatric HHC recipients, providers, and payments. METHODS: We conducted a retrospective analysis of 5 209 525 children age 0-to-17 years enrolled Medicaid in the 2016 IBM Watson MarketScan Medicaid Database. HHC utilizers had ≥ 1 HHC claim. Healthcare Common Procedure Coding System (HCPCS) and Current Procedural Terminology (CPT) codes were reviewed to codify provider types when possible: registered nurse (RN), licensed practical nurse (LPN), home health aide (HHA), certified nursing assistant (CNA), or companion/personal attendant. Enrollee clinical characteristics, HHC provider type, and payments were assessed. Chronic conditions were evaluated with Agency for Healthcare Research and Quality’s Chronic Condition Indicators and Feudtner’s Complex Chronic Conditions. RESULTS: Of the 0.8% of children who used HHC, 43.8% were age <1 year, 25% had no chronic condition, 38.6% had a noncomplex chronic condition, 21.5% had a complex chronic condition without technology assistance, and 15.5% had technology assistance (eg, tracheostomy). HHC for children with technology assistance accounted for 72.6% of all HHC spending. Forty-five percent of HHC utilizers received RN/LPN-level care, 7.9% companion/personal attendant care, 5.9% HHA/CNA-level care, and 36% received care from an unspecified provider. For children with technology assistance, the majority (77.2%) received RN/LPN care, 17.5% companion/personal assistant care, and 13.8% HHA/CNA care. CONCLUSIONS: Children using HHC are a heterogeneous population who receive it from a variety of providers. Future investigations should explore the role of nonnurse caregivers, particularly with CMC.

Automatic Coding of Facial Expressions of Pain: Are We There Yet?

Introduction. The experience of pain is regularly accompanied by facial expressions. The gold standard for analyzing these facial expressions is the Facial Action Coding System (FACS), which provides so-called action units (AUs) as parametrical indicators of facial muscular activity. Particular combinations of AUs have appeared to be pain-indicative. The manual coding of AUs is, however, too time- and labor-intensive in clinical practice. New developments in automatic facial expression analysis have promised to enable automatic detection of AUs, which might be used for pain detection. Objective. Our aim is to compare manual with automatic AU coding of facial expressions of pain. Methods. FaceReader7 was used for automatic AU detection. We compared the performance of FaceReader7 using videos of 40 participants (20 younger with a mean age of 25.7 years and 20 older with a mean age of 52.1 years) undergoing experimentally induced heat pain to manually coded AUs as gold standard labeling. Percentages of correctly and falsely classified AUs were calculated, and we computed as indicators of congruency, “sensitivity/recall,” “precision,” and “overall agreement (F1).” Results. The automatic coding of AUs only showed poor to moderate outcomes regarding sensitivity/recall, precision, and F1. The congruency was better for younger compared to older faces and was better for pain-indicative AUs compared to other AUs. Conclusion. At the moment, automatic analyses of genuine facial expressions of pain may qualify at best as semiautomatic systems, which require further validation by human observers before they can be used to validly assess facial expressions of pain.

Management of biobanking for medical genetics research

Biobanking is one of the most important elements of the modern infrastructure for biomedical research. Organization of a biobank on the basis of the N. P. Bochkov Medical Genetics Research Center provides a centralized infrastructure for preparing biomaterial for research. Biobank has the format of a research equipment sharing center and works with two types of unique biomaterials from patients with genetic diseases: blood/blood components and vital cells of various tissue origin. The storage facility of the Biobank is equipped with low-temperature (-80° C) and cryostorage (-196° C) systems. Identification and search of samples is carried out using a bar-coding system and is implemented through the information interface of the biobank, which is integrated into the general database of patients at the Medical Genetics Research Center. Information on biomaterial samples is presented in periodically updated catalogs on the page of equipment sharing center “Biobank”. Biobank collection is available to internal and external users.

relevance of national education goals to the guidance of the Al-Quran and Al-Hadith

The purpose of this study is to gain an in-depth understanding of the issue of the relevance of national education goals to instructions from the Qur'an and hadith as Islamic religious guidelines. To obtain data on the whitening of the research problem and this hypothesis, we conducted a literature search on many international and national communications. The most applied sources we found were scientific journals, educational books, magazines, and literature websites. So that the data can be used, we have first involved an in-depth data evaluation and coding system, finally concluding relevant to answering the study questions with high validity. The search for data was carried out electronically, published between 2010 and 2021, by searching for keywords such as the purpose of education, Islamic instructions, and al-hadith. We review this study qualitatively under a phenomenological approach to seek the broadest possible data to understand seeking answers. Based on the findings and discussion data, there is a profound relevance between the purpose of providing national education and the objectives of religious education mentioned in Qur'an and Al-Hadith, which together prepare the generation of education to become a generation that is devoted to knowledge and skills that can solve life's problems correctly.

Prosodic Phrasing and Syllable Prominence in Spoken Prose. A Validated Coding Manual

Current systems for predicting prosodic prominence and boundaries in texts focus on syntax/semantic-based automatic decoding of sentences that need to be annotated syntactically (Atterer & Klein 2002; Windmann et al. 2011). However, to date, there is no phonetically validated replicable system for manually coding prosodic boundaries and syllable prominence in longer sentences or texts. Based on work in the fields of metrical phonology (Liberman & Prince 1977), phrase formation (Hayes 1989) and existing pause coding systems (Gee and Grosjean 1983), we developed a manual for coding prosodic boundaries (with 6 degrees of juncture) and syllable prominence (8 degrees). Three independent annotators applied the coding system to the beginning pages of four German novels and to four short stories (20 058 syllables, Fleiss kappa .82). For the phonetic validation, eight professional speakers read the excerpts of the novels aloud. We annotated the speech signal automatically with MAUS (Schiel 1999). Using PRAAT (Boersma & Weenink 2019), we extracted pitch, duration, and intensity for each syllable, as well as several phonetic parameters for pauses, and compared all measures obtained to the theoretically predicted levels of syllable prominence and prosodic boundary strength. The validation with the speech signal shows that our annotation system reliably predicts syllable prominence and prosodic boundaries. Since our annotation works with plain text, there are many potential applications of the coding system, covering research on prose rhythm, synthetic speech and (psycho)linguistic research on prosody.

Occupational Therapy Service Delivery Among Medicaid-Enrolled Children and Adults on the Autism Spectrum and With Other Intellectual Disabilities

Importance: Rates of occupational therapy service utilization among people with autism spectrum disorder (ASD) or intellectual disability (ID) have not been explored in population-based samples. Objective: To describe occupational therapy services delivered to Medicaid-eligible persons younger than age 65 yr identified as having ASD, ID, or both and to evaluate demographic factors associated with occupational therapy service utilization in this population. Design: Retrospective, case–control, cohort study using claims records from Medicaid Analytic eXtract files (2009–2012). Setting: Data from all 50 states and Washington, DC. Participants: Beneficiaries identified as having ASD only, ASD+ID, or ID only who were younger than age 18 yr (N = 664,214) and ages 18–64 yr (N = 702,338). Outcomes and Measures: We analyzed Current Procedural Terminology® and Healthcare Common Procedure Coding System procedure codes, Medicaid Statistical Information System type of service codes, and Center for Medicare & Medicaid Services provider specialty codes. Results: Only 3.7% to 6.3% of eligible adult beneficiaries received occupational therapy; in contrast, 20.5% to 24.2% of children received occupational therapy. Significant predictors of service use varied by group; however, differences by race–ethnicity, eligibility on the basis of poverty, and geographic location were observed. Among children, the most frequent billing code was for “therapeutic activities” (43%–60%); among adults, it was “community/work reintegration training” (29%–39%). Conclusions and Relevance: Billed procedure code patterns do not consistently reflect the unique occupational focus that occupational therapy providers deliver to people with developmental disabilities. Disparities in occupational therapy receipt warrant further attention to understand the social and structural factors affecting service delivery. What This Article Adds: Occupational therapy services paid for by Medicaid are used more frequently by children with ASD and ID than by adults with these diagnoses. Greater understanding of the intersectional factors that drive service delivery and disparities is needed.

Is Sociodemographic Status Associated with Empathic Communication and Decision Quality in Diabetes Care?

Objective To assess the relationship between empathic communication, shared decision-making, and patient sociodemographic factors of income, education, and ethnicity in patients with diabetes. Research Design and Methods This was a cross-sectional study from five primary care practices in the Greater Toronto Area, Ontario, Canada, participating in a randomized controlled trial of a diabetes goal setting and shared decision-making plan. Participants included 30 patients with diabetes and 23 clinicians (physicians, nurses, dietitians, and pharmacists), with a sample size of 48 clinical encounters. Clinical encounter audiotapes were coded using the Empathic Communication Coding System (ECCS) and Decision Support Analysis Tool (DSAT-10). Results The most frequent empathic responses among encounters were “acknowledgement with pursuit” (28.9%) and “confirmation” (30.0%). The most frequently assessed DSAT components were “stage” (86%) and knowledge of options (82.0%). ECCS varied by education (p=0.030) and ethnicity (p=0.03), but not income. Patients with only a college degree received more empathic communication than patients with bachelor’s degrees or more, and South Asian patients received less empathic communication than Asian patients. DSAT varied with ethnicity (p=0.07) but not education or income. White patients experienced more shared decision-making than those in the “other” category. Conclusions We identified a new relationship between ECCS, education and ethnicity, as well as DSAT and ethnicity. Limitations include sample size, heterogeneity of encounters, and predominant white ethnicity. These associations may be evidence of systemic biases in healthcare, with hidden roots in medical education.

The Necessary Competencies for Selecting Academic Leaders in the Sultanate of Oman in Light of the Vision of the Education Strategy 2040

This study aims to search for the necessary competencies to choose academic leaders in the Sultanate of Oman in light of the vision of the 2040 education strategy. To achieve this aim, a qualitative approach is used, by preparing an interview card that includes five main questions. The sample of the interview consists of nine individuals who occupy leadership positions at the university and whose work is related to the educational field. The sample consists of (the dean of the faculty and his assistants, a sample of department heads, the dean of admission and registration, directors of centres, and the head of the Quality and Accreditation Unit). The data collection period took about one month. The qualitative method is used to analyse the responses of the corresponding sample using the coding system NVivo according to the study fields. The results of the study show that one of the most important competencies mentioned in the responses is the following competencies: personal competencies, professional competencies, communicational competencies, planning competencies, adequacy of practices, and technological competencies, in addition to the importance of academic leaders possessing the cognitive ability in two main dimensions (academic specialization and professional specialization). Furthermore, there is the importance of having a cultural horizon that helps them deal with various groups of society. As for the factors that influence the academic leader's success and make him distinguished, these are his ability to work with others, to take responsibility, to have the drive for accomplishments, to have the ability to negotiate and conclude deals, and to have the ability to deal with crises or risks. Based on the results of the study, several recommendations and proposals are developed.