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The purpose of this paper is to understand the behavior diversities that exist among young millennials’ subgroups in ways they seek health-related information.

The authors ran several sets of analyses on the 2012–2014 US Program for the International Assessment of Adult Competencies (PIAAC) Data using Stata. The population was stratified into four specific subgroups based on their gender, ethnicity—blacks, Hispanics and whites—immigration status, college status—whether they were enrolled in a program of study at the time of the survey. The outcome variables were sources of health information including print (books/magazines/brochures), traditional media (Radio/TV), internet, family/friends/co-workers and health professionals. The independent variables were gender, ethnicity, educational status and immigration status. The authors utilized the appropriate sample weight derived by Organization for Economic Cooperation and Development so the findings can be generalized to the populations. The analysis included several descriptive statistics and χ² test of independence.

Despite similarities, young adults’ health seeking behavior is complex influenced by gender, ethnicity, immigration status and education. The results indicated that while the internet is the primary source of health-related information for all young adults, there are subtle differences in utilizing other available resources. For example while more educated young adults seek help from their family members, the less educated peers use the media to obtain health-related information. Ethnicity has also an effect on young adults’ information seeking behavior. The number of Hispanics and blacks that obtain their information from traditional media is significantly higher than their white counterparts.

This study has several limitations. First, the authors did not consider the effect of young adults’ digital literacy skills, problem solving skills and numeracy skills on their health seeking approach. Including these cognitive skills could reveal key information about young adults approach to information seeking that is not apparent by race, ethnicity and gender only. Another limitation of this study is the lack of the ability to claim causation, PIAAC data are designed strictly for cross-sectional analysis.

Although, behaviors often do not change simply by presenting information, trying to change behavior without improving individuals’ understanding of the issue by providing accurate information is likely to fail. Providing standardized health-related information sources that are accessible to all is vitally important. The results indicate that while the majority of young adults use the internet as their primary source of information only a few percentage of young adults seek information from health professional. Consequently, there is a need for an easily accessible and standardized online health-related source of information.

Healthcare facilities and health related industries have the resources and the ability to develop a reliable infrastructure that could potentially provide reliable information that is easy to understand and navigate for adults with a variety of literacy and skills to use. Perhaps adopting the Universal Design for Learning approach and providing information that is accessible to a variety of individuals regardless of their education, learning skills and language skills. Flexible learning resources provided within a standard infrastructure accessible to all can help individuals find trustworthy and consistent information that they can trust.

Despite the unique characteristics of the millennials and the profound change in the way young adults seek information, there is a paucity of research on the ways young adults seek health-related information. Most existing literature is based on locally developed surveys and convenient sampling with limited reliability and validity information. Consequently making a sweeping statement based on their findings is considered as hasty generalization. The PIAAC, on the other hand, is a nationally representative data, extensively examined for its validity and reliability.

This study aims to investigate the satisfaction of farmers with the compensation policy for wildlife-caused damages and its influencing factors, analyze the current situation of satisfaction with the compensation policy among farmers, identify factors significantly affecting satisfaction, and explore ways to optimize the compensation policy and improve the satisfaction of farmers based on the effects of various influencing factors.

The Xishuangbanna National Nature Reserve in Yunnan Province, China, is selected as the research area for the study. Through field interviews, 370 valid questionnaires were collected to obtain relevant data on farmers' satisfaction with the compensation policy for wildlife-caused damages. The Oprobit model is utilized to explore the factors influencing farmer satisfaction and to analyze their underlying reasons.

The study reveals that farmers in the communities surrounding the Xishuangbanna National Nature Reserve generally experience low satisfaction with the compensation policy, particularly concerning satisfaction with compensation amounts, which tends to be dissatisfied on average. Satisfaction with the compensation policy is significantly influenced by individual characteristics and household labor structure, while the degree of human-wildlife conflict, wildlife conservation attitudes and household income structure have insignificant impact. Among individual characteristics, gender, education level, health status, and ethnicity are highly significant. In household labor structure, the number of agricultural laborers, non-agricultural laborers, and household agricultural labor time are highly significant.

Building on the overall satisfaction of farmers with the compensation policy, this study further decomposes policy satisfaction into satisfaction with compensation amounts, coverage, and procedures. It provides more targeted recommendations for enhancing satisfaction with the compensation policy, which can help effectively mitigate human-wildlife conflicts and achieve harmonious coexistence between humans and nature.

In corridor environments, human-following robot encounter difficulties when the target turning around at the corridor intersections, as walls may cause complete occlusion. This paper aims to propose a collision-free following system for robot to track humans in corridors without a prior map.

In addition to following a target and avoiding collisions robustly, the proposed system calculates the positions of walls in the environment in real-time. This allows the system to maintain a stable tracking of the target even if it is obscured after turning. The proposed solution is integrated into a four-wheeled differential drive mobile robot to follow a target in a corridor environment in real-world.

The experimental results demonstrate that the robot equipped with the proposed system is capable of avoiding obstacles and following a human target robustly in the corridors. Moreover, the robot achieves a 90% success rate in maintaining a stable tracking of the target after the target turns around a corner with high speed.

This paper proposes a human target following system incorporating three novel features: a path planning method based on wall positions is introduced to ensure stable tracking of the target even when it is obscured due to target turns; improvements are made to the random sample consensus (RANSAC) algorithm, enhancing its accuracy in calculating wall positions. The system is integrated into a four-wheeled differential drive mobile robot effectively demonstrates its remarkable robustness and real-time performance.