Observation Schedule Research Articles

Measuring autism with the ADOS-2 using a bifactor model.

The measurement of autism characteristics can be challenging due to variability of social impairments and restricted and repetitive behaviors or interests (RRBs). Psychometrically strong measures such as the Autism Diagnostic Observation Schedule, Second Edition (ADOS-2) can improve our capacity for thorough autism assessment. The conceptualization of the ADOS-2 has been shaped by research exploring the structure of its items, which evaluate autism traits associated with social affect and RRBs. Continuously refining our understanding of these items and their relations to other characteristics, such as cognition, is crucial for more accurate autism assessment and diagnosis. This study used data from a sample of 188 school-age children with mostly average cognitive functioning referred for clinical autism evaluations to (1) test the dimensionality of the ADOS-2, Module 3 (appropriate for children with relatively higher verbal ability), across two sets of items (i.e., algorithm only, algorithm with three non-algorithm RRB items) using confirmatory factor analysis (CFA) and (2) examine the relations of cognition to the dimensions tested in the ADOS-2. A bifactor model, featuring a general autism trait and two subfactors (RRB and Social Affect), provided superior fit for algorithm-only and algorithm with three non-algorithm items. Cognitive functioning was not significantlyrelated to the general or specific factors in the model with only algorithm items. While the findings support the validity of the ADOS-2, it may not fully capture RRBs among children referred for autism. This study enhances our understanding of the ADOS-2, highlighting the utility of a bifactor model for characterizing its dimensionality, measuring autism traits with minimal cognitive influence, and identifying its limitations in assessing RRBs.

Sociodemographic and Clinical Profile of 915 Autistic Preschoolers Engaged in Intensive Early Intervention in Australia.

There is a paucity of information on the sociodemographic and clinical characteristics of autistic children with high support needs. This study aims to address this gap by profiling a cohort of 915 children enrolled in full-time early intervention for autism spectrum disorder (ASD) in Australia between 2012 and 2024. Intake questionnaires assessed the sociodemographic characteristics of families entering the service. Clinical measures included the Autism Diagnostic Observation Schedule (2nd ed.), Mullen Scales of Early Learning, and Vineland Adaptive Behaviour Scale (2nd and 3rd eds.). Family measures included the Parenting Stress Index (4th ed., Short Form) and Autism Family Experience Questionnaire. Results indicated a male to female ratio of 3.8:1, clear delays from the age of first concern to diagnosis and intervention, and notable proportions of culturally diverse families. While clinical data indicated cognitive and adaptive deficits beyond findings in other ASD studies, measures of stress and family experiences were comparable to other autism literature. By reporting these findings, this study aims to facilitate a more informed, tailored and nuanced approach to addressing the unique challenges faced by autistic children with high support needs. The scope and limitations of this cohort are discussed.

Optical turbulence simulations over the Tibetan Plateau based on a single-column model with high-order closure

Optical turbulence limits the maximum resolution of ground-based telescopes and leads to image degradation. The use of atmospheric numerical techniques to forecast optical turbulence is crucial for observation scheduling and optimization of adaptive optic systems. Current research methods for forecasting optical turbulence are primarily based on mesoscale models with turbulence closure techniques to parameterize the key terms required for C n 2 calculations under the assumption of atmospheric quasi-steady-state balance, and then the integrated astroclimatic parameters related to C n 2 profile can be obtained. In this study, we propose what we believe to be a novel approach to forecast C n 2 using a boundary layer parameterization based on higher-order turbulence closure in the single-column framework of the CLUBB model. Compared to mesoscale models, the CLUBB model serves as a single-column model, which simplifies modifications and reduces compilation time, and is more conducive to testing the performance of C n 2 parameterization scheme. In the design of C n 2 parameterization scheme, we consider a more complete physical process rather than omitting certain terms to obtain a steady-state solution. The performance of the model is evaluated using measurements obtained during a field campaign conducted at Da Qaidam site above the Tibetan Plateau. The results show that the model is able to capture typical features of the C n 2 profile evolution under convective conditions. Comparison of the model with contemporaneous sounding measurements and quantification of the model’s performance using statistical operators demonstrate the statistical agreement between simulations and measurements. In terms of atmospheric seeing, we can observe a bias of 0.01 and a root-mean-square error (RMSE) of 0.31 without any model calibration, which outperforms the results of previous mesoscale modeling studies. In addition, the new parameterization scheme is also compared with two representative C n 2 algorithms previously used in the mesoscale models, with some improvements observed. The potential demonstrated by this approach is expected to bring greater value and advancement to the research of three-dimensional forecasting of optical turbulence in the future by coupling with the mesoscale model.

Influence of Planning on Implementation of Inclusive Education in Regular Primary Schools in Samia Sub-County, Kenya

Inclusive schooling is defined as the practice of including everyone irrespective of talent, disability, socio – economic background or cultural origin in supportive regular schools, classrooms where all students’ needs are met (Stainback and Stainback, 2000). This study focuses attention on the influence of planning on implementation of inclusive education in the regular primary schools in Samia District. The researcher used descriptive research. The study utilized a sample of forty-nine (49) teachers who are in the four schools practicing inclusive education. The researcher used simple random sampling for sampling the population. Each and every member had an equal and independent opportunity in the selection, (Kombo and Tromp, 2006). The four schools practicing inclusive Education in the District were included. The schools shared similar socio-economic, political and cultural background. Pilot study was done in a school outside the district because of the fewer schools practicing inclusive education in the district. An interview schedule for the teachers in charge, questionnaires for the head-teachers, different questionnaire for the regular teacher population and another questionnaire for teachers in the units were administered. Observation schedule was also carried out. Findings in the study indicated that the regular teachers were not trained to handle learners with Special needs. The government has tried to provide teaching/learning resources to the regular learners but not provided for learners with special needs for example Braille. Schools were not constructed to favour learners with special needs since there were no facilities like adopted toilets, ramps and the like. Most children identified to these schools are intellectually challenged and a few from other categories. The research recommends that every regular teacher should be trained to handle children with special needs for proper accommodation in schools, availability of adequate facilities and all-round personnel to carter for the diversity such as medical personnel, community at large should be sensitized on the values of accommodation of the diversity. Finally, the research recommends that before implementation of inclusive education can be emphasized, there should be effective planning since it is a powerful weapon in any educational system

Early gesture development as a predictor of autism spectrum disorder in elevated-likelihood infants of ASD

BackgroundGesture difficulties have been reported in later-born siblings of children with autism spectrum disorder (ASD). Careful observation of gesture development during the first two years of children at elevated likelihood (EL) of developing ASD may identify behavioral indicators that facilitate early diagnosis.MethodsThis study enrolled 47 EL infants and 27 low-likelihood (LL) infants to explore gesture developmental trajectories and the predictive value of gesture to expedite the early detection of core characteristics of ASD. Gesture frequency, communication function, and integration ability were observed and coded from a semi-structured assessment administered longitudinally across 9–19 months of age. We conducted the Autism Diagnostic Observation Schedule assessment at 18–19 months for ASD’s core characteristics.ResultsThe development of joint attention (JA) gestures was slower in the EL than in the LL group. The trajectories of the two groups began to diverge at 14–18 months. Children who reached the diagnostic cutoff point for ASD showed reductions in social interaction gestures at 12–13 months, in gestures integrated with any two communication skills (G-M) at 15–16 months; and in gestures integrated with eye contact (G-E) at 18–19 months. Overall gesture and G-M integration were associated with an overall ADOS communication and social interaction score.ConclusionsThe developmental trajectories of JA gestures of EL and LL children differed. G-M gestures represent early indicators that may be a predictor of ASD.

GRRIS: A Real-time Intrasite Observation Scheduling Scheme for Distributed Survey Telescope Arrays

The distributed telescope array offers promise for conducting large-sky-area, high-frequency time-domain surveys. Multiple telescopes can be deployed at each observation site, so intrasite observation task scheduling is crucial for enhancing observation efficiency and quality. Efficient use of observable time and rapid response to special situations are critical to maximize scientific discovery in time-domain surveys. Besides, the competing scientific priorities, time-varying observation conditions, and capabilities of observation equipment, lead to a vast search space of the scheduling. So with the increasing number of telescopes and observation fields, balancing computational time with solution quality in observation scheduling poses a significant challenge. Informed by the seminal contributions of earlier studies on a multilevel scheduling model and global scheduler for a time-domain telescope array, this study is devoted to further exploring the site scheduler. Formulating the observation scheduling of multiple telescopes at the site as a cooperative decision-making problem, this paper proposes GRRIS, a real-time intrasite observation scheduling scheme for the telescope array using graph and reinforcement learning (RL). It employs a graph neural network to learn node features that can embed the spatial structure of the observation scheduling. An algorithm based on multi-agent RL is designed to efficiently learn the optimum allocation policy of telescope agents to field nodes. Through numerical simulations with real-world scenarios, GRRIS can achieve up to a 22% solution improvement over the most competitive scheme. It offers better scalability and subsecond decision speed, meeting the needs of observation scheduling control for future distributed telescope arrays.

Efficacy and safety of JNJ-42165279, a fatty acid amide hydrolase inhibitor, in adolescents and adults with autism spectrum disorder: a randomized, phase 2, placebo-controlled study.

JNJ-42165279, a highly selective and orally bioavailable fatty acid amide (FAA) hydrolase inhibitor, was evaluated for efficacy and safety in adolescents and adults with autism spectrum disorder (ASD) in this phase 2, double-blind, placebo-controlled, multicenter study (NCT03664232). Participants aged 13-35 years, with a diagnosis of ASD (Diagnostic and Statistical Manual of Mental Disorders, 5th edition; Autism Diagnostic Observation Schedule, 2nd edition) were randomized (1:1) to 12 weeks of treatment with JNJ-42165279 (25 mg, twice-daily) or placebo. Primary endpoints were the change in the Autism Behavior Inventory (ABI) Core Domain (ABI-CD), ABI-Social Communication (ABI-SC), and ABI-Repetitive/Restrictive Behavior (ABI-RB) scores from baseline to day 85. Of the 61 participants (16 female, 45 male) included in the efficacy analyses, 53 (87%) completed the double-blind treatment. At day 85, the JNJ-42165279 group did not show a statistically significant reduction in ASD symptoms versus placebo, as assessed with ABI-CD (p = 0.284), ABI-SC (p = 0.290), and ABI-RB (p = 0.231). However, the following secondary outcomes exhibited small to moderate changes directionally favoring JNJ-42165279: Social Responsiveness Scale 2 (SRS, p = 0.064), Repetitive Behavior Scale-Revised (RBS-R, p = 0.006), Zarit Burden Interview short version (ZBI, p = 0.063), Child Adolescent Symptom Inventory-Anxiety (CASI-Anx, p = 0.048), and Caregiver Global Impression of Severity (p = 0.075). Notably, versus placebo, JNJ-42165279-treated participants showed increased concentrations of FAAs throughout the treatment period, with those achieving elevated concentrations experiencing the greatest reduction in the SRS total score at day 85. JNJ-42165279 demonstrated an acceptable safety profile. Although primary endpoints were not met, JNJ-42165279 may have a therapeutic effect on certain aspects of core ASD symptoms.

Effectiveness of environmental conservation measures practised in the Full Gospel churches of Kenya Embu Evurore District, Kenya

This study assessed the effectiveness of environmental conservation measures practised by the congregants of the Full Gospel Churches of Kenya in the Embu Evurore District. The environment in Embu Evurore District is degraded despite the conservation practices of the congregants. The study objective was to assess the effectiveness of the environmental conservation measures practised in the Full Gospel Churches of Kenya Embu Evurore District. The study was guided by Behaviour change theory, which states that an individual is a victim of their environment. A descriptive research design was used to collect, analyse, and interpret information. The study was carried out in the five local churches in Embu Evurore District. The study population was obtained through a sampling technique. The leaders were selected through purposive sampling. A sample of congregants was arrived at through random sampling. The study instruments were questionnaires for the congregants and interview schedules for the leaders. An observation schedule was used to identify the environmental conservation practices in Embu Evurore District. The data was analysed using tables, charts and graphs. The study found that while some environmental conservation measures have been effective, others have had limited impact. The study also found that some congregants caused environmental degradation. The findings of the study add knowledge to Eco- Theology. They benefit church leaders by adding insight to their policy formulation and decision-making concerning environment conservation. The findings of this study will sensitise the congregants to improve their methods of environmental conservation.

Developmental Profile of Children with Autism Spectrum Disorder Versus Social Communication Disorder: A Pilot Study.

Social Communication Disorder (SCD), introduced in the DSM-5, is distinguished from Autism Spectrum Disorder (ASD) by the absence of restricted and repetitive behaviors or interests (RRBIs). To compare the adaptive, sensory, communication, and cognitive profiles of children with ASD and SCD. The assessments of nine children with SCD and ten with ASD were compared with either Fisher's Exact Test or the Mann-Whitney Test. Assessments included the Vineland Adaptive Behavior Scales, the Autism Diagnostic Observation Schedule (ADOS), the Short Sensory Profile, Bishop's Children's Communication Checklist, a pragmatics evaluation, and the Wechsler Intelligence Scale for Children IV. The total ADOS score and the second subtotal "Restricted and Repetitive Behaviors" were significantly higher (p = 0.022) in the ASD group than in the SCD group. The Vineland standard score for the "Socialization" domain was significantly lower (p = 0.037) in the ASD group (mean: 51 +/- 19) than in the SCD group (mean: 80 +/- 28). The working memory index score was also significantly lower (p = 0.013) in the ASD group compared to the SCD group. While ASD and SCD share similarities in communication and pragmatic difficulties, some distinctions have been identified, e.g. in executive functioning and the impact on socialization, which may be linked to the absence of RRBIs in SCD. These findings highlight the challenges posed by this nosographic separation during diagnostic evaluations due to the scarcity of discriminative tools.

Gaspery: Optimized Scheduling of Radial Velocity Follow-up Observations for Active Host Stars

Radial velocity (RV) follow-up is a critical complement of transiting exoplanet surveys like the Transiting Exoplanet Survey Satellite, both for validating discoveries of exoplanets and measuring their masses. Stellar activity introduces challenges to interpreting these measurements because the noise from the host star, which is often correlated in time, can result in high RV uncertainty. A robust understanding of stellar activity and how its timescales interact with the observing cadence can optimize limited RV resources. For this reason, in the era of oversubscribed, high-precision RV measurements, folding stellar activity timescales into the scheduling of observation campaigns is ideal. We present gaspery, an open-source code implementation to enable the optimization of RV observing strategies. Gaspery employs a generalized formulation of the Fisher information for RV time series, which also incorporates information about stellar correlated noise. We show that the information contained in an observing strategy can be significantly affected by beat frequencies between the orbital period of the planet, the stellar rotation period, and the observation epochs. We investigate how the follow-up observing strategy will affect the resulting RV uncertainty, as a function of stellar properties such as the spot decay timescale and rotation period. We then describe two example use cases for gaspery: (1) calculating the minimum number of observations to reach an uncertainty tolerance in a correlated noise regime and (2) finding an optimal strategy given a fixed observing budget. Finally, we outline a prescription for selecting an observing strategy that is generalizable to different targets.

Assessment of Security Design Strategies in Resorts Design in Osun State, Nigeria

Security has become an issue that has been reoccurring especially in the current state of the country which raises concern for the design of resorts within the nation and the challenges should be considered and gotten a solution for as soon as possible. The aim of this study is to assess security strategy design in resort design. The research method used in this study is the qualitative method and the use of observation check list has been adopted in obtaining information. The observation schedule was used as an instrument to collect data and the data were used as sampling method. These data were analyzed with content analysis and the findings showed that security measures have not been properly adopted in the resort design and most resorts do not take into consideration the necessary design strategies which has automatically open them to external threats. The research recommends that the need to design with consideration of security should be of uttermost importance in designing resort based on the number of people going and the function of the building and to urge other designers to consider the requirements while designing.

A comprehensive review of neuroimaging-based AI models for autism classification

Autism Spectrum Disorder (ASD) is a complex neurodevelopmental condition characterized by challenges in social interaction, communication, and behavior. Traditional diagnostic methods rely heavily on behavioral assessments, such as the Autism Diagnostic Observation Schedule (ADOS) and Autism Diagnostic Interview-Revised (ADI-R), which are often subjective and limited by the absence of definitive biomarkers. Recent advances in neuroimaging techniques, including structural MRI (sMRI), functional MRI (fMRI), and positron emission tomography (PET), have provided valuable insights into the structural and functional abnormalities associated with ASD. However, the analysis of neuroimaging data is complex, requiring sophisticated machine learning (ML) and artificial intelligence (AI) models. This paper reviews state-of-the-art machine learning approaches, such as Random Forests, Support Vector Machines (SVM), and deep learning models, aimed at improving the diagnostic accuracy of ASD. We particularly focus on multimodal deep learning models that integrate neuroimaging data with behavioral assessments. In this review, we critically evaluate the strengths and limitations of these approaches, and how emerging AI tools not only enhance classification accuracy but also hold potential for identifying biomarkers and tracking the disorder's progression. Our analysis underscores the need for advanced methods that exploit both spatial and temporal features of brain data to better understand ASD, paving the way for improved diagnostics and personalized treatments.

A Longitudinal Study of Aggression in People with Autism and Other Neurodevelopmental Disabilities.

Aggression is common in autism and neurodevelopmental disorders, but longitudinal research on aggression is lacking. We longitudinally tracked aggression in 254 individuals from toddlerhood to emerging adulthood. Our sample included participants with a range of cognitive abilities, with 39.9% classified as more-cognitively-abled (MCA; IQ ≥ 70) and 60.1% as less-cognitively-abled (LCA; IQ < 70). Aggression Composite scores were derived from data from the autism diagnostic observation schedule, autism diagnostic interview-revised, and child behavior checklist at ages 2, 9, and 18. Fifty-four percent, 69%, and 42% of the sample showed aggression in toddlerhood, school age, and emerging adulthood, respectively. LCA individuals had higher rates of aggression in school age (80%) and emerging adulthood (58%) compared to MCA individuals (48 and 22%, respectively). Longitudinal aggression profiles revealed distinct patterns of change over time: 31% displayed persistent aggression, 25% increased, 23% decreased, and 13% never displayed aggression. Higher autism symptoms, lower VIQ, NVIQ, and less-developed adaptive skills correlated with more aggression cross-sectionally. Nonverbal IQ and repetitive behaviors related to aggression longitudinally: people in decreasing or absent profiles had higher NVIQ and fewer RRBs than those with persistent or increasing profiles. Participants with aggression at 9 were four times likelier to exhibit aggression at 18. Aggression is common in autism and NDDs, peaking around age 9, and declining in emerging adulthood. Patterns of change varied widely, with evidence that higher NVIQ and fewer RRBs may be protective. Findings have implications for clinical practices, highlighting important developmental periods and high-risk subgroups.

The Impact of the COVID‐19 Pandemic on Nurses' and Junior Doctors' Workloads

ABSTRACTAimsTo explore the impact of the COVID‐19 pandemic on nurses' and junior doctors' workload, changes to direct care and the impact of workload on resource allocation.DesignMixed‐method design was used.MethodsData were collected from direct observation, hospital administrative database and a survey. Nurses and junior doctors were observed on two COVID‐19 wards and one non‐COVID‐19 ward using a semi‐structured observation schedule. Survey data were collected from nurses and junior doctors that had worked on the COVID‐19 ward during the pandemic. Patient data were collected from Web Patient Administration System during the period of March–August 2021 and compared to March–August 2022.ResultsThe results of this study indicated that the workloads of nurses and junior doctors changed on the COVID‐19 wards. Nurses on the COVID‐19 ward spent less time on administration, communication and documentation compared to nurses working on the non‐COVID‐19 ward. For junior doctors, less time was being spent on direct care activities and administrative work compared to the non‐COVID ward. On the COVID‐19 wards, patients were older and had a shorter length of stay compared to the year before. Five themes were identified from the surveys, staffing shortages resulting in higher workloads and the need for overtime, unforeseen time to undertake tasks, lack of support and physical health and patient care compromised.ConclusionThe study highlights the need for systemic changes to staffing shortages and elevated workloads to improve the compromised mental and physical health caused during the pandemic and to retain the workforce for future sustainability.ImplicationsAs we collectively reflect on the lessons learned from this unprecedented period, it is imperative to address the challenges experienced proactively, fostering a healthcare environment that prioritises the well‐being of its front line heroes and, by extension, the quality of patient care.Reporting MethodSTROBE.Patient or Public ContributionNo patient or public contribution.

On the Use of Instructional Games in Moroccan High Schools: Motives and Barriers

Background The use of instructional games in foreign language classrooms has a lot of potential. This potential helped pushing the spread of game use, but it was faced with a lot of barriers. Purpose The current study intended to investigate the factors behind the use/nonuse of instructional games by Moroccan high school teachers. Methods This study adopted a mixed methods approach, which was typified in a sequential explanatory design. Data was collected from 215 students and 10 teachers in Allal Loudyi High School in Fes, Morocco, using questionnaire, interview, observation schedule, and focus group. Results The findings disclosed that students reported that instructional games should be used because they motivated them, helped them enjoy learning, and fostered their critical thinking skills. The large number of learners in the classrooms and lack of enough equipment were found to be two major obstacles, in addition to other minor challenges, that prevent Moroccan high school teachers from using instructional games in the classroom. Discussion Crosslinguistic studies confirmed the potential motives and barriers highlighted in the current study. Conclusion The results had direct implications for Moroccan EFL teachers, stakeholders, and students. The implications were discussed at the end of this article.

Extent of Use of Virtual Field Trips in Instruction of History and Government Among Secondary Schools in Murang’a County, Kenya

The use of field trips for instruction has been limited by the cost of trips, logistical planning, time taken in traveling, and learners’ safety concerns. This has led to the adoption of Virtual Field Trips (VFTs) that offer opportunities for learners to virtually visit historical sites for learning. However, the utilization of VFTs in teaching and learning History and Government in secondary schools has not been sufficiently researched and documented in Kenya thus the essence of the study. The study was guided by Technological, Pedagogical, and Content Knowledge Theory (TPACK) and adopted a Quasi-Experimental Design targeting thirty-five public sub-county secondary schools. Schools and teachers were purposively sampled while learners were randomly selected. A sample size of 372 respondents took part in the study. Learners’ questionnaires, interview schedules for teachers, and classroom observation schedules were used to collect data. The study found that majority of teachers and learners were not aware of the use of VFTs for teaching and learning. Further, even after training, teachers were not able to effectively use VFTs in instruction. Against these findings, this study recommended that the Ministry of Education and Teachers Service Commission should team up and organize training for teachers to equip them with ICT skills for preparation and use of VFTs for teaching and learning. Also, teacher training institutions should endeavor to equip teacher trainees with ICT skills to exploit VFTs in their specific teaching-learning areas.

Effect of utilization of VFTs on teaching and learning History and Government in Murang’a County in Kenya

The adoption of Virtual Field Trips (VFTs) as a teaching method has provided opportunities for learners to virtually visit historical sites for learning. However, the effects of utilization of VFTs in instruction on students' performance in History and Government had not been sufficiently researched and documented in Kenya. Therefore, the essence the study was to establish how use of VFTs in teaching and learning affects learners' academic performance in History and Government in Murang’a County in Kenya. The study was guided by Technological, Pedagogical, and Content Knowledge Theory and adopted a Quasi-Experimental Design targeting 35 public sub-county secondary schools with a target population of 3,329 respondents. Schools and teachers were purposively sampled while learners were randomly selected. A sample size of 372 respondents made up of teachers and form one learners of History and Government took part in the study. Research instruments used were learners’ questionnaires, interview schedules for teachers, History and Government Assessment Tests, and classroom observation schedules. Piloting was done on all research instruments and reliability accepted r=0.657. Statistical Package for Social Sciences (SPSS) was used to analyze data for descriptive and inferential statistics. The study found that use of VFTs significantly affected learners' academic performance at t (365) = 15.50, p=0.00. The study recommended teacher training institutions to equip teacher trainees with skills to exploit VFTs in teaching. A VFT teaching guideline was developed to assist teachers in preparation and use of VFTs for instructional purposes to improve teaching and learning for better academic performance.

Influence of Social Cultural Factors on Male Involvement in Antenatal Care in Baringo County Referral Hospital Kenya

Purpose: Male participation in the Antenatal Care is essential for realization of social, cultural factors. This study sought to analyze the factors influencing male involvement in the care of their expectant wives, collect views of mothers attending the clinics and men found there and come up with measures on how to enable both parents be responsible to the unborn. Methodology: This research was guided by use of cross-sectional survey in which both qualitative and quantitative data was collected. Data was obtained by means of questionnaires, interview guides and observation schedules. Questionnaires were used to collect primary data. Secondary data was collected from documented information to support primary data. Systematic random sampling technique was used to select the sample from the target population of expectant mothers in the antenatal clinic at Baringo County Referral Hospitals to explore their views on why their husbands do not attend clinic appointments with them. The men who accompanied their wives were also engaged in an in-depth interview to examine their reasons for coming to the clinic. The researchers sampled 150 participants and 3 nurses. Data collection was done by the investigator assisted. Findings: The data collected was processed, coded and analyzed using Statistical Package for Social sciences (SPSS). The findings of the research which were presented using tables were that; social cultural factors, and health related services influenced male participation in the antenatal clinic. Unique Contribution to Theory, Practice and Policy: The researchers also found out that the clients were impressively aware of the services offered and other activities carried out in the clinic. The researchers however, concluded that there was need for the facility especially the clinic area to improve in terms of space and sitting arrangements to accommodate all mothers and their spouses comfortably and add more doctors to facilitate quick and quality services to the clients. The researchers also felt the need to advocate for policy formulation so.

Implication of Urban Domestic Water Distribution on Human Health in Machakos Central Ward, Machakos County

The world's water resources are running out, and this situation is made worse by how quickly people are populating new areas, particularly in developing nations. This has highlighted the critical requirement for prepared action to manage water resources for sustainable development efficiently. Increasing water demands due to climate change, global pressures from urbanization, the already-existing unsustainable variables, and challenges of water supply systems in urban centres pose a challenge in managing water resource effectively. The purpose of the study was to investigate the implication of urban domestic water supply on human health in Machakos Central Ward, Machakos County. Using a Survey Research Design (SRD) both primary and secondary data was collected by use of questionnaires, face-to-face interviews, photography, use of GIS, authors’ observation, and the review of relevant literature in order to (1) document household water supply, (2) determine water quality for the identified categories of households and domestic water supply systems, and (3) Determine how the distribution and coverage of domestic water in a household or home affects the prevalence of water-borne illnesses. The target population was 8,331 households, from which a sample size of 381 respondents was selected. These included households, water vendors and key informants from the Machakos Water and Sewerage Company. Questionnaires (for households and vendors), interview schedules (for water officers and chiefs) and observation schedules were used as instruments for data collection. Data was analysed using Microsoft Excel and Statistical Package for Social Sciences (SPSS) software. The results revealed that the major factors attributed to lower accessibility are shortage of water, high cost of piped water connection, poor coordination, and participation of stakeholders, repairing of old and broken pipes. As a result, nearly half of the dwellers prefer to use alternative sources, exposing them to the risks of water-born diseases

Profiles of nonverbal skills used by young pre-verbal children with autism on the ADOS-2: Relation to screening disposition and outcomes.

Autistic individuals exhibit differences in their use and understanding of nonverbal communication; however, individual patterns of nonverbal strengths and challenges vary significantly. This heterogeneity can complicate the diagnostic and screening processes and can result in delayed or missed diagnoses. In this study, we characterize various profiles of nonverbal communication skills among 215 pre-verbal children with autism (Mage = 36.27 months, range = 18-70) and explore how these profiles are related to screening outcomes, diagnostic certainty, and developmental and behavioral features. We conducted a latent class analysis of nine items assessing nonverbal communication skills from the Toddler Module and Module 1 of the Autism Diagnostic Observation Schedule, 2nd Edition. Five nonverbal profiles were identified that differentiated children based on the form, function, and frequency of their nonverbal communication skills. Furthermore, screening outcomes and clinician certainty in autism diagnosis varied by nonverbal profile. False negative screening outcomes based on parent report were highest for children who used a range of nonverbal skills but with limited frequency or consistency. Clinicians, on the other hand, tended to have high certainty in an autism diagnosis for children with this profile, and instead rated their lowest certainty in diagnosing children who demonstrated consistent integration of eye contact with their nonverbal communication. The profiles identified in this study could be clinically useful in helping to identify children at highest likelihood of being overlooked during the screening or diagnostic processes, providing an opportunity to improve early identification and intervention for autism.