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Fenson

Fensons are a class of organic chemical compounds that feature a benzene ring fused to a five-membered heterocyclic ring.
They are known for their diverse pharmacological activities and widespread use in medicinal chemistry.
Fensons display a variety of biological effects, including anti-inflammatory, analgesic, and antimicrobial properties.
These versatile molecules have found applications in the development of pharmaceuticals, agrochemicals, and functional materials.
Researchers in the fields of organic synthesis, medicinal chemistry, and materials science frequently investigate the synthesis, reactivity, and structure-activity relationships of fenson derivatives to unveil their potential for novel therapeutic and technological applications.

Most cited protocols related to «Fenson»

The words used for comparing child and adult phonotactic probability and neighborhood density were the 380 nouns on the MacArthur-Bates Communicative Development Inventory: Words and Sentences (Fenson et al., 1993 ) because these words are likely known by both children and adults and have been used in past word learning research (Storkel, 2004a , 2009 (link)). In addition, the words in this set vary in the sounds targeted (i.e., all English sounds present), syllable structure (e.g., CV, CCV, CCCV, VC, VCC, CVC, CCVC, CCCVC, CVCC), and word length (i.e., M = 4.42 sounds, SD = 1.56 sounds, range = 1 – 10 sounds), suggesting that the set represents a wide range of word structures learned by young children.
For each of the 380 nouns, positional segment average, biphone average, and neighborhood density were computed using the on-line calculator and the child corpus. In addition to these raw values, z scores were computed for each word following the procedures of Storkel (2004b , (obtained value - mean)/standard deviation) and using the child means and standard deviations for the appropriate word length (see Appendix A). The same raw values also were computed for each word using the on-line calculator and the adult corpus, and then z scores were calculated using the adult means and standard deviations for the appropriate word length (see Appendix A).
A parallel analysis was completed for a set of 310 nonwords, with results shown in Appendix B. Generally, the nonword analysis produced similar results to the real word analysis.
Publication 2010
Adult Child fenson Sound
Every emotion term was listed in a vocabulary checklist. Groups of volunteers from the general population (see “Participants” above) were asked if they knew the meaning of each word. The volunteers ranged from age 4 to 16 years old and were stratified by age. For individuals aged 12–16, self-report was accepted. For individuals age 4–11 years old, parent- or teacher-report was collected. This questionnaire survey method invited the participant to choose one of three response options for each word: Clearly Understood, Not Understood, and Possibly Understood. This method (parent- or teacher-report) was used in the development of the Communication Development Inventory (Fenson et al., 1994 (link)) and has been found to be reliably correlated with comprehension tested in the lab. Only those items endorsed as Clearly Understood were judged to be within the comprehension of an individual. Finally, words where data was not available from all six age groups were not included in the results, since this was a developmental study1.
Publication 2010
Age Groups Emotions fenson Parent Voluntary Workers
Mental and psychomotor development: At 18 months of age, the children's development was assessed with the Revised Version of Bayley Scales of Infant Development (BSID-II) (19 ) using its Mental and Psychomotor Development Indices (MDI and PDI). The children were tested in the presence of their mothers at one of the four local health centres. The Bayley Scales have not been standardized for Bangladeshi children but have been used by the same research group in several previous studies in rural (20 (link)) and urban (9 (link), 21 (link)–22 (link)) Bangladeshi children. The children's scores were in the normal range and correlated with parental education, socioeconomic status, and HOME scores in a theoretically-sensible way. Five psychologists were trained to test the children, and before beginning the study, each of them performed 10 tests on non-study children of the similar age range and was observed by a trainer. The intraclass correlations between the trainer and each psychologist ranged from r=0.88 to 0.99 (n=10) for both MDI and PDI.
Language: The children's comprehensive and expressive language development was assessed at 18 months of age using an inventory, specially developed for Bangladesh, based on the principles of the MacArthur Communicative Development Inventory: words and gestures (23 (link)–24 ). The inventory depends on mothers’ report of their children's ability to comprehend and express words, arranged in categories (e.g. animals, body-parts, and food). There is a short version of 89 words that contains only nouns, verbs, and sounds but no gestures (25 (link)). The Bangladeshi inventory contained 60 words arranged in the same categories in order of difficulty (Hamadani JD et al. Personal communication, 2010). The inventory was developed after extensive piloting with mothers of young children and in consultation with Larry Fenson (Personal communication, 2003) and was then given to mothers in their homes. The test-retest reliabilities after 7–14 days in 15 mothers of children aged 18 months for comprehension and expression were (intraclass correlation) r=0.67 and 0.99 respectively.
Family care indicators: The FCI questionnaire was developed by groups of experts organized by the UNICEF with preliminary piloting for comprehension in several countries (26 ). The items were grouped into the following theoretical subgroups: ‘Varieties of play materials’ (including picture books for young children) (7 items), which classified toys by their use; ‘Sources of play materials’ (4 items), which identified where the play materials came from; and ‘Play activities’ (6 items), which identified specific types of activities done by any adult in the home with the child in the previous three days. All these items were scored: yes=1 and no=0 (presence or absence of play material or activity). Two other items—‘Household books’, i.e. the number of books in the home, excluding picture books for young children (1 item) and ‘Magazines’, i.e. the number of magazines and newspapers in the home (1 item)—were initially intended to make one subscale; however, they behaved differently in the analyses, and we decided to keep them separate.
The FCI inventory was given in the children's homes by one of four research assistants. The interviewer asked to see items concerning play materials and reading materials whereas responses to the remaining items depended on mothers’ report. Before beginning the study, each interviewer conducted five interviews and observed and scored 15 more in the presence of the trainer, and intraclass correlation for each interviewer was 0.99.
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Publication 2010
Adult Animals Child fenson Food Households Infant Development Interviewers Language Development Mothers Parent Parts, Body Psychologist Sound Vaginal Diaphragm
The ADOS is a clinician-administered, standardized observation designed to elicit social communication and restricted, repetitive behaviors related to ASD (Lord et al., 2000 (link)). Four original modules are each tailored to an individual’s language level and age to control for the effects of language level on social communication and play behaviors. The second edition of the ADOS (ADOS-2; Lord et al., 2012a ; Lord et al., 2012d ) adds a Toddler Module for children age 12 to 30 months with language skills ranging from no verbal language to single words and simple phrases. Toddlers must be walking independently, and a nonverbal mental age of at least 12 months is recommended. The Toddler Module follows the structure of Module 1, which is designed for language levels ranging from nonverbal to single words and simple phrases. Module 1 activities, child behavioral descriptions, and scoring criteria were modified based on developmental expectations for toddlers.
The Toddler Module algorithm contains separate domain categories of Social Affect and Restricted, Repetitive Behaviors and a single total score to determine classification. Separate algorithms are provided based on age and language level: all children age 12 to 20 months, and children age 21–30 months who produce fewer than five words during the ADOS-2, receive the 12–20/Nonverbal 21–30 algorithm, and children age 21–30 months who produce five or more words during the ADOS-2 receive the Some Words 21–30 months algorithm. Clinical cut-off scores are grouped within levels of concern for ASD, acknowledging the diagnostic uncertainty inherent in very young children due to significant developmental variability or confounding conditions (e.g., intellectual disability, language impairment). Research classifications with cut-points for ASD and nonspectrum also are available (Luyster et al., 2009 (link)).
We examined the sensitivity of Toddler Module research classifications and concern ranges for our samples, and results were similar to those reported in the original validation study (Luyster et al., 2009 (link)). Using the research cutoffs of a total score of 12 for 12–20/Nonverbal and 10 for Some Words 21–30, sensitivity in the original sample was .94 for children who received the 12–20/Nonverbal 21–30 algorithm and .88 for children receiving the Some Words 21–30 algorithm. Sensitivity in our replication sample was 0.88 for the 12–20/Nonverbal 21–30 group and 0.71 for the Some Words 21–30 group. In the original sample, 82.2% fell within the moderate-to-severe concern range, 14.4% fell into the mild-to-moderate range, and 3.4% fell into the little-to-no concern range. In the replication sample here, 72.2% fell within the moderate-to-severe range, 19.1% were in the mild-to-moderate range, and 8.7% were in the little-to-no concern range.
In the current study, the ADOS-2 Toddler Module was conducted as part of a clinic or research evaluation. A similar battery of assessment measures was used across sites and projects. The University of Michigan, University of Minnesota, and University of Wisconsin-Madison administered the Toddler Autism Diagnostic Interview-Revised (Toddler ADI-R; Kim & Lord, 2012 (link); Lord, Rutter, & LeCouteur, 1994 (link)) to inform diagnosis; children seen at FSU were given a developmental history interview and parent-report measures of ASD symptoms. Children at all sites received psychometric measures of cognitive and adaptive development, including Mullen Scales of Early Learning (MSEL; Mullen, 1995), and Vineland Adaptive Behavior Scales, 2nd edition (Vineland-II; Sparrow, Cicchetti, & Balla, 2005 ). Additionally, language skills were assessed at the Universities of Michigan, Minnesota, and Wisconsin-Madison using the Preschool Language Scales (PLS, 4th and 5th editions; Zimmerman, Steiner, & Pond, 2002 ; 2011 ) and/or MacArthur-Bates Communication Development Inventories, 2nd edition (Fenson et al., 1993 ). Diagnostic distinctions of autism and non-autism ASD were made at the Universities of Michigan and Wisconsin-Madison; at FSU and University of Minnesota, subcategories were not assigned, and children meeting criteria for DSM-IV diagnoses of Autistic Disorder, PDD-NOS, or Asperger’s Disorder were given a best estimate diagnosis of ASD. To be consistent with DSM-5 (APA, 2013 ), and because clinical subcategories have been found to be unstable over time (e.g., Lord et al., 2006 ), unreliable across clinicians, and not representative of meaningful differences in symptom presentation (Lord et al., 2012c (link)), children with any autism spectrum diagnosis were grouped into one ASD category for the present analyses.
Clinic-referred patients received oral feedback and a written report without financial compensation. Participants recruited only for the purpose of research received financial compensation and a written summary of evaluation results. Institutional Review Boards at the University of Michigan, FSU, University of Minnesota, and University of Wisconsin-Madison approved all procedures related to this project.
Site differences emerged in demographic and child variables. Differences in child variables across sites were expected due to differences in recruitment patterns and study design across sites. We viewed these site differences as beneficial to the purpose of this study, as we sought to include children with varied levels of impairment and symptom characteristics. The University of Wisconsin sample generally was older, had lower verbal skills, and showed greater impairment in IQ and ADOS-2 scores than children from other sites. Families in the FSU sample self-identified as more racially and ethnically diverse than families from other sites. See Supplemental Tables 1 and 2 for further details on site differences.
Publication 2015

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Publication 2019
Child fenson Learning Disorders Personality Inventories Student Triplets

Most recents protocols related to «Fenson»

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The dependent variables were MacArthur-Bates CDI (Fenson et al., 2000) (link)
Publication 2024
Productive vocabulary was measured using a standardized parental report vocabulary checklist: the MacArthur-Bates Communicative Development Inventory: Words & Sentences (MCDI; Fenson et al., 2006) . Parents were asked to identify the words that they thought their child is able to produce in daily life. The identified words parents reported were counted and used for participants' productive vocabulary score.
Publication 2024
We analyzed 1461 children from the MacArthur Bates Communicative Development Inventory norming study (Fenson et al., 1994 (link), 2007 ). Subjects were between the ages of 1;4 and 2;6 (M = 23.01, SD = 4.09) and consisted of 734 boys and 727 girls. Of these subjects, 697 were first born, 490 were second born, and 269 were later born (birth order information from 5 children was not available). All children were monolingual English speakers with no reports of atypical development. Maternal education ranged from 6–18 years (M = 14.32, SD = 2.36), with 989 having completed college and 471 having not (education information was not available for one of the mothers).
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Publication 2024
The mothers participating in the study completed the Hungarian version of the MacArthur-Bates Communicative Development Inventory (H-CDI) (Fenson et al., Citation2007; Kas et al., Citation2010, Citation2022) parent report form at 9 and 12 months and then bimonthly until 30 months of their infant's age. The CDI system is a parent-reported developmental language assessment tool allowing for the measurement of receptive and expressive vocabulary, gestural communication, sentence comprehension, syntactic complexity and morpheme use in infants aged 8-30 months. For the present analyses, the total scores of Receptive vocabulary, Expressive vocabulary, Gestures and Sentence comprehension sections of the Words and Gestures form (CDI-1) have been used as measures of language outcomes.
Publication 2024
Caregivers completed questionnaires about family demographics (parent education, income, employment status, ethnicity, race), and their child's digital media use. Because prior work has found that the majority of children's digital media time at this age is spent with videos/TV and most children have some level of regular TV time (Kucker et al., 2024) (link), the average minutes/day spent watching videos/TV/movies from the Media Assessment Questionnaire (MAQ; Barr et al., 2020) (link) was used as the metric for digital media use. Children's expressive vocabulary was measured with the MacArthur-Bates Communicative Development Inventory: Words and Sentences (MCDI; Fenson et al., 1994 (link)). Children's total amount of social interactions was assessed through a self-report asking "On average, how many people does your child interact with on a daily basis?" . The study was approved by the Oklahoma State University and Southern Methodist University Internal Review Boards and all participants gave informed consent.
Publication 2024

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More about "Fenson"

Fensons, also known as heterocyclic benzenes or benzofurans, are a versatile class of organic compounds that feature a benzene ring fused to a five-membered heterocyclic ring.
These versatile molecules have garnered significant attention in the fields of medicinal chemistry, agrochemicals, and materials science due to their diverse pharmacological activities and widespread applications.
Fensons display a range of biological effects, including anti-inflammatory, analgesic, and antimicrobial properties, making them valuable in the development of pharmaceuticals.
Researchers frequently investigate the synthesis, reactivity, and structure-activity relationships of fenson derivatives to unveil their potential for novel therapeutic and technological applications.
In addition to their medicinal applications, fensons have found use in the production of agrochemicals, such as insecticides (e.g., Chlorpyrifos, Carbofuran) and fungicides (e.g., Dieldrin, Aldrin, Endosulfan).
These compounds have also been explored for their potential as functional materials, with applications in areas like optoelectronics and sensing.
The versatility of fensons is further exemplified by their use as solvents and reagents in organic synthesis, where they are often employed in conjunction with other chemical compounds like DMSO, glacial acetic acid, and silver nitrate.
The combination of these substances can facilitate various chemical transformations and reactions, contributing to the diverse utility of fensons in the field of chemistry.
By understanding the unique properties and diverse applications of fensons, researchers and practitioners in fields such as medicinal chemistry, agrochemistry, and materials science can leverage these insights to drive innovation and advance their respective areas of study.
The exploration of fensons and their derivatives continues to offer exciting opportunities for the development of novel therapeutic agents, high-performance materials, and sustainable agrochemical solutions.