According to raising teenage parents though their abusing and neglecting children at a rural community with the ethnographic qualitative research method was surveyed. All children have protected on violence, abuse, neglect and exploitation from their teenage parents. To investigate and emphasize the consequences of violence ranged from immediate to the impact of their development on physical injury, learning ability, and local child care performance to long-term harm that caregivers carry into adult life is affected for raising children. Administration to the 89-households’ families and household memberships, 10 house stakeholders, 8 community leaders, 36 children, 65 caregivers, teenage parents and grandparents, and 3 mentors. Using the ethnographic qualitative research participatory with observation, natural conversation and in-depth interviews were randomized in rural Northeastern Region, Thailand. There are 52% of children being sexually, physically, or psychologically abused, neglected per day. Most of the teenagers’ education is poor learning skills, low academic learning achievements, and independent freedom of their sexual behaviors. These sexual intercourses between their groups are normal. Adding gambling habits among friends and adult groups are amputated without parents to dissuade. Either lifestyles as freely with sexually and gambling and the basic education are stopped, experiences’ living skills are poorly. Teenage women are changed to pregnant and young mothers. The teenage men must be searched for the job without a lack of worker’s skills to look for children with whom they are conflicted family relationships to take care.
Indigenous food processing and preservation methods are on the verge of collapse, yet they proved promising and sustainable. The study assessed the indigenous methods of shea butter processing among rural women in the Borgu Local Government Area of Niger State, Nigeria. Specifically, it described the socioeconomic characteristics of respondents, examined the shea butter processing techniques used and identified the information sources of shea butter processors in the study area. A multistage sampling technique was used to select 100 respondents. Descriptive (such as frequency count, percentage, charts and tables) and inferential statistics (such as Pearson correlation and chi-square) were used to analyze the data. Findings showed the mean age of respondents was 45.61 ± 11.82, with mean years of experience of 20.39 ± 12.96, the majority (85%) were married and the major sources of information on indigenous shea butter processing came from family members and friends. At p ≤ 0.01 there was a significant association between respondents’ usage of indigenous methods and their marital status (ᵡ2 = 84.24; p ≤ 0.01), membership in cooperative society (ᵡ2 = 40.43; p ≤ 0.01), and community membership (ᵡ2 = 53.21; p ≤ 0.01). However, there was a significant relationship between respondents’ usage of indigenous methods and household size (b = 0.290; p ≤ 0.05), quantity produced (b = 0.616; p ≤ 0.10) and annual income (b = -0.765; p ≤ 0.05). It was concluded that indigenous methods of processing shea butter are widespread among respondents; knowledge is acquired through family and friends. Among others, the study recommends that extension agents be posted to rural areas to educate rural women and build on their indigenous knowledge of processing shea butter to introduce high-quality butter.
This study explores the application of a Multi-Criteria Decision-Making (MCDM) approach based on q-rung orthopair fuzzy numbers to identify the origin of mechanical parts found at vehicle accident scenes. The primary objective is to determine the most likely vehicle to which these parts belong by evaluating key criteria such as compatibility, damage level, serial number matching, and color compatibility. Q-rung orthopair fuzzy numbers offer an advanced method to handle the inherent uncertainty and vagueness associated with forensic evaluations, particularly in scenarios where data is incomplete or imprecise. The proposed methodology involves defining the criteria, assigning membership and non-membership degrees using q-rung orthopair fuzzy sets, and applying an aggregation process to effectively rank alternatives. This approach facilitates flexible decision-making by accommodating different levels of confidence and uncertainty, making it particularly suitable for forensic applications where evidence is often ambiguous. The findings demonstrate that integrating q-rung orthopair fuzzy numbers into the MCDM framework significantly enhances the accuracy and reliability of identifying vehicle components involved in accidents. The proposed methodology provides a systematic tool to support forensic investigations, aiding in the determination of liability and contributing to more robust outcomes in mechanical evidence analysis.
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