Understanding Behavioral Manifestations of Obsessive-Compulsive Disorder in People with Intellectual Disabilities—A Qualitative Study

Background: There is limited knowledge about obsessive-compulsive disorder (OCD) in people with intellectual disabilities (IDs). This paper describes the manifestation of compulsive behaviors associated with OCD at the behavioral level in people with ID in institutionalized settings. The aim was to gain nuanced insight into appropriate understanding and classification in this specific context, and derive implications for research and practice. Methods: Individual cases of people with ID (n = 7) were studied to assess compulsive symptoms through two days of on-site observation of the person with ID within the institution, guided group discussions (n = 28), and semi-structured interviews with key informants and caregivers of the person with ID (n = 20). Caregiver ratings of the compulsive behavior checklist were compiled. Data were analyzed using qualitative content analysis. Results: All forms of OCD were present. Characteristics of compulsive behaviors in people with ID at the behavioral level included less complex and more obvious compulsive acts, immediate responses, signs of tension, motor restlessness, facial expression changes, repetition, need for predictability, time-consuming behaviors, and aggressive reactions when these acts were interrupted. Some of the compulsive behaviors corresponded to the ICD-11 OCD code 6B20, and others to compulsions as a psychological symptom (MB23.4). Conclusions: OCD may manifest atypically at the behavioral level in people with ID, posing significant challenges for accurate classification due to symptom ambiguity. Follow-up differential diagnostic studies are needed to more accurately identify and differentiate OCD symptoms in people with ID. Further, disorder-specific guidelines for recognizing OCD in people with ID are needed for institutionalized settings without psychiatric-psychotherapeutic expertise.

Hand Gesture Recognition for Disabled People Using Bayesian Optimization with Transfer Learning

Sign language recognition can be treated as one of the efficient solu-tions for disabled people to communicate with others.It helps them to convey the required data by the use of sign language with no issues.The latest develop-ments in computer vision and image processing techniques can be accurately uti-lized for the sign recognition process by disabled people.American Sign Language(ASL)detection was challenging because of the enhancing intraclass similarity and higher complexity.This article develops a new Bayesian Optimiza-tion with Deep Learning-Driven Hand Gesture Recognition Based Sign Language Communication(BODL-HGRSLC)for Disabled People.The BODL-HGRSLC technique aims to recognize the hand gestures for disabled people’s communica-tion.The presented BODL-HGRSLC technique integrates the concepts of compu-ter vision(CV)and DL models.In the presented BODL-HGRSLC technique,a deep convolutional neural network-based residual network(ResNet)model is applied for feature extraction.Besides,the presented BODL-HGRSLC model uses Bayesian optimization for the hyperparameter tuning process.At last,a bidir-ectional gated recurrent unit(BiGRU)model is exploited for the HGR procedure.A wide range of experiments was conducted to demonstrate the enhanced perfor-mance of the presented BODL-HGRSLC model.The comprehensive comparison study reported the improvements of the BODL-HGRSLC model over other DL models with maximum accuracy of 99.75%.

Association between Clinical Characteristics and Quality of Life in Older People with Stroke at Hospital Discharge

Objective: The number of people with stroke increases worldwide. The stroke survivors live with disabilities and those influence their quality of life (QOL). This study was aimed to investigate the association between clinical characteristics and QOL of the older people with stroke at discharge from the hospital. Methods: This is a cross-sectional study. The participants were 113 stroke survivors aged 60 years and older admitted to the stroke unit. Quality of life was the study’s outcome which measured by using the abbreviated version of the World Health Organization Quality of Life (WHOQOL-BREF). Primary clinical characteristics were measured by the National Institute of Health Stroke Scale (NIHSS), Barthel Index (BI), and Modified Rankin Scale (mRS). Potential confounding factors were age, sex, education levels, marital status, current occupation, and comorbidity (hypertension, diabetes mellitus, dyslipidemia, and heart disease). Multiple linear regression was used for data analysis. Results: The main effects of clinical outcomes were high BI Score that had a significant difference association with QOL (β = 0.312, 95% CI = 0.042, 0.296, P = 0.009), lower mRS score also had significant difference association with QOL (β= -0.371, 95%CI = -5.394, -1.162, P = 0.003) after all adjusting. Additional risk factor in this study was marital status (currently married) (β= 0.155, 95% CI = 0.226, 8.666, P = 0.039). Conclusion: Low function status and severe stroke disability as the clinical characteristics were associated with QOL in older people with stroke at hospital discharge. An additional factor was marital status (currently married).

Preparations for the Olympics and Paralympics and Inclusion of People With Disabilities:the Australian Experience

There is substantial attention in the international community being directed at present to the human rights of people with disabilities. An international convention on human rights and disability is being actively considered through the United Nations system. Internationally, the case for a human rights Convention specifically dealing with people with disabilities

Advances in Health Promotion for People with Disabilities and the Laws of Brazil

Brazilian laws guarantee the protection to the rights of the citizenship of people with disabilities and their participation in various social sectors which influence health promotion. One aimed at reflecting about the health promotion actions contemplated in Brazilian laws directed to people with physical, hearing and visual disabilities. Through the website of the National Secretariat for the Promotion of the Rights of People with Disabilities, one selected 14 laws whose content was articulated to the Health Promotion Charts in the process of discussion. The laws had as their main objective, the accessibility of people with disabilities to urban spaces, health, income, education, transportation and leisure, i.e. to public services that are essential for the establishment of health. It is concluded that there was a progress in the elaboration of laws that guarantee the rights and integration of this population. However, it is observed that the non-compliance of the laws makes the promotion of health impossible.

UN Landmark Convention of Rights of Disabled People——Interview with Zhang Guozhong of the China Federation for Disabled Persons

The 61st UN General Assembly adopted the Convention on the Rights of Persons with Disabilities in New York City on December 13, 2006. This is the first legally binding international convention on the protection of the rights of disabled persons, the first of its kind in the history of the United Nations. It is also the latest efforts of the international community to protect and promote human rights and development of persons with disabilities. On March 30, 2007, China signed the Convention. The following is an interview with Mr. Zhang Guozhong of the International Department of the China Federation for Disabled Persons, who witnessed the whole process of the negotiations on the Convention.

Deep Transfer Learning-Enabled Activity Identification and Fall Detection for Disabled People

The human motion data collected using wearables like smartwatches can be used for activity recognition and emergency event detection.This is especially applicable in the case of elderly or disabled people who live self-reliantly in their homes.These sensors produce a huge volume of physical activity data that necessitates real-time recognition,especially during emergencies.Falling is one of the most important problems confronted by older people and people with movement disabilities.Numerous previous techniques were introduced and a few used webcam to monitor the activity of elderly or disabled people.But,the costs incurred upon installation and operation are high,whereas the technology is relevant only for indoor environments.Currently,commercial wearables use a wireless emergency transmitter that produces a number of false alarms and restricts a user’s movements.Against this background,the current study develops an Improved WhaleOptimizationwithDeep Learning-Enabled Fall Detection for Disabled People(IWODL-FDDP)model.The presented IWODL-FDDP model aims to identify the fall events to assist disabled people.The presented IWODLFDDP model applies an image filtering approach to pre-process the image.Besides,the EfficientNet-B0 model is utilized to generate valuable feature vector sets.Next,the Bidirectional Long Short Term Memory(BiLSTM)model is used for the recognition and classification of fall events.Finally,the IWO method is leveraged to fine-tune the hyperparameters related to the BiLSTM method,which shows the novelty of the work.The experimental analysis outcomes established the superior performance of the proposed IWODL-FDDP method with a maximum accuracy of 97.02%.

Deep Learning-Based Sign Language Recognition for Hearing and Speaking Impaired People

Sign language is mainly utilized in communication with people who have hearing disabilities.Sign language is used to communicate with people hav-ing developmental impairments who have some or no interaction skills.The inter-action via Sign language becomes a fruitful means of communication for hearing and speech impaired persons.A Hand gesture recognition systemfinds helpful for deaf and dumb people by making use of human computer interface(HCI)and convolutional neural networks(CNN)for identifying the static indications of Indian Sign Language(ISL).This study introduces a shark smell optimization with deep learning based automated sign language recognition(SSODL-ASLR)model for hearing and speaking impaired people.The presented SSODL-ASLR technique majorly concentrates on the recognition and classification of sign lan-guage provided by deaf and dumb people.The presented SSODL-ASLR model encompasses a two stage process namely sign language detection and sign lan-guage classification.In thefirst stage,the Mask Region based Convolution Neural Network(Mask RCNN)model is exploited for sign language recognition.Sec-ondly,SSO algorithm with soft margin support vector machine(SM-SVM)model can be utilized for sign language classification.To assure the enhanced classifica-tion performance of the SSODL-ASLR model,a brief set of simulations was car-ried out.The extensive results portrayed the supremacy of the SSODL-ASLR model over other techniques.

Automated Disabled People Fall Detection Using Cuckoo Search with Mobile Networks

Falls are the most common concern among older adults or disabled peo-ple who use scooters and wheelchairs.The early detection of disabled persons’falls is required to increase the living rate of an individual or provide support to them whenever required.In recent times,the arrival of the Internet of Things(IoT),smartphones,Artificial Intelligence(AI),wearables and so on make it easy to design fall detection mechanisms for smart homecare.The current study devel-ops an Automated Disabled People Fall Detection using Cuckoo Search Optimi-zation with Mobile Networks(ADPFD-CSOMN)model.The proposed model’s major aim is to detect and distinguish fall events from non-fall events automati-cally.To attain this,the presented ADPFD-CSOMN technique incorporates the design of the MobileNet model for the feature extraction process.Next,the CSO-based hyperparameter tuning process is executed for the MobileNet model,which shows the paper’s novelty.Finally,the Radial Basis Function(RBF)clas-sification model recognises and classifies the instances as either fall or non-fall.In order to validate the betterment of the proposed ADPFD-CSOMN model,a com-prehensive experimental analysis was conducted.The results confirmed the enhanced fall classification outcomes of the ADPFD-CSOMN model over other approaches with an accuracy of 99.17%.

Access to Supportive Health Services for People with Physical Disabilities: A Case of Health Facilities in Singida Rural District, Tanzania

Background: It is estimated that above one billion people (15%) of the world’s populations are living with disabilities. The poor and unfriendly infrastructure at health facilities is the core challenge for people with physical disabilities in accessing healthcare. This study aimed to explore at what extent the existing infrastructure and design of health facilities in Singida rural district, Tanzania supports people with physical disabilities to access healthcare. Methods: A cross sectional health facility-based assessment of all thirty-two functioning health facilities in the district was done between June and December 2020 using observational checklist and key informants’ interviews consist of measurement procedures of the architectural condition of health facilities. Observation checklist was designed based on standard of health facilities in Tanzania, national guideline for safe care standards for dispensaries, health centers and district hospital of 2014 and national guideline for water, sanitation and hygiene in healthcare facilities of 2017. Data were analyzed by SPSS-26 using descriptive statistics to obtain frequencies tables, percentage and figure. Qualitative data were analyzed by using NVivo-12 software. Results: The study revealed that there was no signage, entrance area, parking and toilets designated for people with physical disabilities in all health facilities. There was no special seat, examination table/bed and special weight scale for people with physical disabilities in all facilities. Also, the doors were not wide enough to support wheelchair user to maneuver in all health centers and dispensaries. In addition, door handles were not user friendly for wheelchair users. In fact, only the hospital and health centers had wheelchairs while 27 (96.4%) of all dispensaries had no wheelchairs. Furthermore, ramp and pathways were not available in all dispensaries. All health facilities had stairs but the challenge was most of the staircases had no floor located before the steps. Conclusion: The study revealed that the infrastructures in most healthcare facilities pose challenges to people with physical disabilities when they access healthcare services. These findings call for need of improving health facilities’ infrastructure to accommodate people with physical disabilities and this should be given a priority.

Sign Language Recognition and Classification Model to Enhance Quality of Disabled People

Sign language recognition can be considered as an effective solution for disabled people to communicate with others.It helps them in conveying the intended information using sign languages without any challenges.Recent advancements in computer vision and image processing techniques can be leveraged to detect and classify the signs used by disabled people in an effective manner.Metaheuristic optimization algorithms can be designed in a manner such that it fine tunes the hyper parameters,used in Deep Learning(DL)models as the latter considerably impacts the classification results.With this motivation,the current study designs the Optimal Deep Transfer Learning Driven Sign Language Recognition and Classification(ODTL-SLRC)model for disabled people.The aim of the proposed ODTL-SLRC technique is to recognize and classify sign languages used by disabled people.The proposed ODTL-SLRC technique derives EfficientNet model to generate a collection of useful feature vectors.In addition,the hyper parameters involved in EfficientNet model are fine-tuned with the help of HGSO algorithm.Moreover,Bidirectional Long Short Term Memory(BiLSTM)technique is employed for sign language classification.The proposed ODTL-SLRC technique was experimentally validated using benchmark dataset and the results were inspected under several measures.The comparative analysis results established the superior performance of the proposed ODTL-SLRC technique over recent approaches in terms of efficiency.

Construction of Three-in-one Industry and Cultural Inheritance of Musical Instruments of Li People in Hainan from the Perspective of Rural Revitalization

From the perspective of industrial integration,how the musical instruments of Li people in Hainan can solve the current development problems such as lack of endogenous power and market enthusiasm under the strategy of rural revitalization to walk out a unique road of three-in-one industry construction was studied.

Analysis on Supported Employment of People with Disabilities in Southwest China's Minority Areas

Employment of people with disabilities in Southwest China’s ethnic minority areas is characterized by relatively high pressure, a poor environment and single form. Supported employment can solve the problems faced by people with disabilities in the ethnic minority areas of Southwest China. Therefore, it is of practical significance to promote such a new form of employment. But in promoting the development of supported employment, it is necessary to strengthen its local top-level design and to establish corresponding legal and policy systems so as to give full play to the positive role of the government and establish a strong support system.

Achievements in Safeguarding Disabled People's Rights——An Interview with Shen Zhifei,deputy general director of the China Disabled Persons' Federation

There are about 83 million disabled people in China, accounting for 6.34% of the total population, according to a national survey in 2006. As a disadvantaged group, the rights and interests of the disabled are arousing more concerns from all walks of society in the country. Following is Human Rights＇ interview with Shen Zhifei, deputy general director of the China Disabled Persons＇ Federation, on the legal guarantee of the special group＇s rights and interests, their rehabilitation, education and employment.

Poverty Alleviation by Helping the Disabled in Impoverished Mountainous Areas of Western China:Taking Luquan Yi and Miao Autonomous County in Yunnan Province as an Example

Disabled people are the poorest in the rural poor with the biggest difficulty in getting rid of poverty and the highest rate of returning to poverty.They are one of the key groups in rural poverty alleviation work.This is the key and difficult point of winning the fight against poverty.Luquan County is a national poverty-stricken county with a large number of disabled people.Since the implementation of the fight against poverty in 2016,the county has introduced a series of policies and measures to help the disabled to get rid of poverty from housing,medical care,schooling for children of the disabled and income increase,and good results have been achieved in poverty alleviation,making important contributions to the poverty alleviation of the county.Based on field research and interviews,this paper analyzes and condenses the specific practices,main results and successful experience of the poverty alleviation model in Luquan County,Yunnan Province to provide necessary reference for the targeted poverty alleviation by helping the disabled in Yunnan Province and other provinces.

Top-Level Design of Smart City Based on“Integration of Four Plans”

A smart city provides a new idea and model for urban construction, management, and development. This article proposes the concepts and methodology for top-level design of smart cities based on the ＂ Integration of Four Plans ＂, and the planning process and systems for implementing the top-level design of smart cities. This article discusses, from the perspective of a city, how to optimize resource allocation, coordinate the development of urban economy, society, resources, environment, and people＇s livelihood, and map out the blueprints for healthy and sustainable development of a smart city.

Positioning and function of secondary general hospital in community rehabilitation of disabled persons-a case study of a secondary general hospital in Changsha city

Objective:the positioning of secondary hospitals in the community rehabilitation work system and the status of community medical rehabilitation ser-vices for the disabled in Changsha were clarified through investigation and study of the 2019 income of a second-ary general hospital in Changsha.Suggestions from var-ious parties were integrated to provide feasible ideas for expanding the role of secondary hospitals in community rehabilitation.Methods:the 2019 income of a secondary general hospital in Changsha was statistically analyzed,a community rehabilitation questionnaire was designed,and a field survey was carried out focusing on 19 issues including rehabilitation service items,rehabilitation facil-ities and equipment,and the satisfaction of rehabilitation practitioners.Results:in the total hospitalization expenses of a secondary general hospital in Changsha city in 2019,rehabilitation physiotherapy expenses accounted for 7%,and drug treatment expenses accounted for 25%.In addi-tion,in the survey of community rehabilitation service sat-isfaction for the disabled,the difference between the very dissatisfied and very satisfied groups was statistically sig-nificant(P<0.05).Conclusion:taking a secondary gener-al hospital in Changsha city as an example,the treatment methods in secondary general hospitals are still dominated by traditional drug therapy,and the disabled are not sat-isfied with community rehabilitation services.Therefore,rehabilitation treatment projects to meet the rehabilitation needs of the disabled should be promoted in hospitals.

How Artificial Intelligence and Virtual Reality Benefit the Elderly and Individuals with Disabilities

The growing and evolving use of emerging technology including Artificial Intelligence(AI)and Virtual Reality(VR),has significantly impacted the lives of two specific groups-the elderly and the disabled.This paper investigates potential reasons for this phenomenon.Clearly,AI and VR Technology alters the everyday lives of people with disabilities and how they navigate the world.Technological developments increasingly work to address the isolation that people with disabilities as well as the elderly experience for they are often unable or limited in how they engage with their communities.This research paper outlines the way technology has improved social communication,information distribution,and day-to-day living for those with disabilities and the elderly.Undoubtedly,the internet has transformed social communication and interaction for most people.Socially isolated individuals with disabilities have gained exposure to social environments through social media.Moreover,the broad range of information available on the internet has increased access to resources such as government services,health services,and social services support.On a related point,assistive devices have enabled disabled people including many seniors to overcome motor,sensory,or cognitive difficulties that may have previously hindered them from performing daily tasks.However,although AI and VR technology has been effectively integrated in the lives of those with disabilities,many such individuals lack access to commonplace technologies,like a personal computer.This paper examines how AI and VR technology has enhanced communication,information access,and everyday activities for the disabled and aging communities despite such socio-economic limitations.

How China Protects the Rights of Persons with Disabilities

China prioritizes the rights to survival and to development both in abstract terms and in practical terms in its human rights efforts. As early as the United Nations began to draft the Convention on the Rights of Persons with Disabilities, China maintained that the right to development should be part of human rights. In the implementation of the Convention, China focuses on the people’s livelihood, passes laws and makes policies that protect disability rights, and even prioritizes the protection as part of its economic and social development initiatives, particularly poverty reduction and the effort to make China into a moderately prosperous society. In the international community, China advocates the inclusion of disability rights into international development agendas, and plays a leading role in the implementation of the United Nations’ Transforming our World: The 2030 Agenda for Sustainable Development. China’s unique way of protecting disability rights aptly demonstrates the country’s efforts to realize the right to development for its people.