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There are described results of researches regarding application of the new means for control of mode of electric power transmission and distribution on the basis of IPC (Interphase Power Controller) taking into account development of external connections of the Moldavian power supply system. The variant of application of classical IPC on base of High Voltage Line Beltsy-Suceava is considered. The management method by power flows in this section on the basis of application of PST (Phase Shift transformer), connected in parallel with IPC is offered and investigated and its technical efficiency is proved.

Introduction Botulinum toxins have proven efficacy and safety for treating cervical dystonia. The consistency of clinical benefit among patients, however, is affected by various factors, including the stability of the toxin formulation. The present study investigates the stability of NeuroBloc™, a liquid formulation of the B serotype, at 2-8 °C and, importantly, at room temperature (25 °C) in the longer term. Methods The mouse intraperitoneal LDs0 potency assay was used to measure NeuroBloC stability. The test sample was prepared in a dilution series based on target potency. Eight mice were used per dilution, five dilutions (levels) per test, and five tests per assay. Mice were observed daily for 4 days postinjection. Results There was no significant change in product potency under either storage condition. Storage at 2-8 °C: mean potency after 12 months was 103% of target (range 92-111%; nine lots), and after 30 months was 92% of target (range 86-98%; three lots). Storage at 25 °C: after 6 months, mean potency was 100% of target (range 82-114%; nine lots). All these final results are within acceptable product-release specifications. Conclusions NeuroBloC retains potency for at least 30 months when refrigerated (2-8 °C) and for at least 6 months at room temperature (25 °C). The extraordinary stability of the liquid formulation of NeuroBloC may contribute to improved consistency in clinical outcomes. [ABSTRACT FROM AUTHOR]

Background: Between 26% and 52% of adults with intellectual disability experience urinary incontinence (UI). Little is known about the implications of urinary tract infections (UTIs) for this group. The aim was to screen for UTIs in a sample of adults with intellectual disability and UI., Method: Twenty adults with intellectual disability and UI recruited via community intellectual disability health care teams and provided a urine sample. Each sample was tested for the presence of UTI bacteria., Results: Half of the sample were found to have a possible or probable UTI. Nine adults had also been treated for a UTI within the previous 12 months; six adults had more than once., Conclusion: UTIs appear to be very common amongst adults with intellectual disability and UI, and careful attention to UTI symptoms, screening and treatment options for this group are recommended. Larger studies on UTI prevalence and associated factors are also warranted., Trial Registration: ClinicalTrials.gov: NCT05626062., (© 2024 The Author(s). Journal of Applied Research in Intellectual Disabilities published by John Wiley & Sons Ltd.)

Having a disability, in particular, an intellectual disability, is associated with Internet non-use. This article explores how people with intellectual disabilities used the Internet across the United Kingdom during the COVID-19 pandemic. In April to May 2021, 571 adults with intellectual disabilities were interviewed. Participants most commonly used the Internet for being with family and friends, social media or doing online activities with other people. People who lived with family were the most likely to use social media; people who lived with other people with intellectual disabilities were the least likely. People who self-reported as not lonely were more likely to use the Internet for online activities with others and play video games with others. Social connections were identified as the best thing about the Internet. Many participants chose not to identify a worst thing about Internet use, while others reported issues with technology, online harm and threats to well-being., Competing Interests: The author(s) declared no potential conflicts of interest with respect to the research, authorship and/or publication of this article., (© The Author(s) 2022.)

Background: One in five children with an intellectual disability in the UK display behaviours that challenge. Despite associated impacts on the children themselves, their families, and services, little research has been published about how best to design, organise, and deliver health and care services to these children. The purpose of this study was to describe how services are structured and organised ("service models") in England for community-based health and care services for children with intellectual disability who display behaviours that challenge., Methods: Survey data about services were collected from 161 eligible community-based services in England. Staff from 60 of these services were also interviewed. A combination of latent class and descriptive analysis, coupled with consultation with family carers and professionals was used to identify and describe groupings of similar services (i.e., "service models")., Results: The latent class analysis, completed as a first step in the process, supported a distinction between specialist services and non-specialist services for children who display behaviours that challenge. Planned descriptive analyses incorporating additional study variables were undertaken to further refine the service models. Five service models were identified: Child and Adolescent Mental Health Services (CAMHS) (n = 69 services), Intellectual Disability CAMHS (n = 28 services), Children and Young People Disability services (n = 25 services), Specialist services for children who display behaviours that challenge (n = 27 services), and broader age range services for children and/or adolescents and adults (n= 12 services)., Conclusions: Our analysis led to a typology of five service models for community health and care services for children with intellectual disabilities and behaviours that challenge in England. Identification of a typology of service models is a first step in building evidence about the best provision of services for children with intellectual disabilities who display behaviours that challenge. The methods used in the current study may be useful in research developing service typologies in other specialist fields of health and care., Study Registration: Trial Registration: Current Controlled Trials ISRCTN88920546, Date assigned 05/07/2022., (© 2023. The Author(s).)

Background: Most parents of children with an intellectual disability or who are autistic identify positives in their family life and their own wellbeing, in addition to reported mental health challenges. Several models and interventions have been developed in relation to parent carer wellbeing. Few studies have asked parent carers how they support their own wellbeing., Method: Adopting an interpretive phenomenological approach this study utilised semi-structured interviews. Seventeen parent carers were asked what supported their emotional wellbeing. Template Analysis was applied to develop themes., Results: All participants identified factors that supported their wellbeing. Themes included strategies that countered stress (time for themselves, relaxation, 'parking' difficulties) and broader wellbeing strategies (finding meaningful life direction, greater understanding of child). An ongoing process of supporting wellbeing by 'Reorienting and Finding Balance' appeared central., Conclusions: Self-identified, multi-dimensional strategies benefit parents' emotional wellbeing and should be considered in the context of support provided to families., (© 2023 The Authors. Journal of Applied Research in Intellectual Disabilities published by John Wiley & Sons Ltd.)

The present study develops a comprehensive traffic conflict assessment framework using macroscopic traffic state variables. To this end, vehicular trajectories extracted for a midblock section of a ten-lane divided Western Urban Expressway in India are used. A macroscopic indicator termed "time spent in conflict (TSC)" is adopted to evaluate traffic conflicts. The proportion of Stopping distance (PSD) is adopted as a suitable traffic conflict indicator. Vehicle-to-vehicle interactions in a traffic stream are two-dimensional, highlighting that the vehicles interact simultaneously in lateral and longitudinal dimensions. Therefore, a two-dimensional framework based on the influence zone of the subject vehicle is proposed and employed to evaluate TSCs. The TSCs are modeled as a function of macroscopic traffic flow variables, namely, traffic density, speed, the standard deviation in speed, and traffic composition, under a two-step modeling framework. In the first step, the TSCs are modeled using a grouped random parameter Tobit (GRP-Tobit) model. In the second step, data-driven machine learning models are employed to model TSCs. The results revealed that intermediately congested traffic flow conditions are critical for traffic safety. Furthermore, macroscopic traffic variables positively influence the value of TSC, highlighting that the TSC increases with an increase in the value of any independent variable. Among different machine learning models, the random forest (RF) model was observed as the best-fitted model to predict TSC based on macroscopic traffic variables. The developed machine learning model facilitates traffic safety monitoring in real-time., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 Elsevier Ltd. All rights reserved.)