Mobility Factor Research Articles

Measuring Multi-Dimensional Mobile Behavior Effect on Inclusive Finance: Evidence from China

Credit Invisible is one key area that many countries put much effort to solve in decades. According to the 2020 World Bank statistics, for example, there are over 500 million Chinese and 45 million American, classified as credit invisible who don’t have banking and finance history in bank or credit bureau, making them difficult to borrow money from financial institution. Previous studies adopted different non-financial information to evaluate one’s credit worthiness and status to address this issue. However, they provide little information about how real mobile user interactions can be used to solve this issue in inclusive finance. This paper proposes a novel data generative framework to fusion APP data, call detail record data and SMS data with a total of 4,689 attributes derived from a large-scale mobile dataset. We then construct a unique set of mobile behavior-driven credit risk factors based on statistical diversity, intensity, consistency, and regularity of mobile user behavior characterizing user preferences, attitudes, geolocation, and temporal patterns. Empirical analysis demonstrates that the newly discovered mobile behavior factors are useful as new inputs for credit scoring and proves the factors representing new source of positive and negative credit information. Decision tree analysis and Quantile regression are conducted to validate effect of these factors to credit default. It facilitates credit assessment based on non-financial data for the credit invisible people, which promoting inclusive finance to larger community in society. We also analyze implications of mobile user characterization findings in relation to credit default which helps decision makers to optimize credit policy and product design.

Migration and Agrarian Change in Eastern Hill Region of Nepal

Migration is a fundamental factor of human mobility and civilization through which people largely shift their ways of living to secure better life. The agrarian mode of social stratification dates back to the human civilization that have also been changing across. Among the various sectors, agriculture is considered to be the backbone of developing economy which has been largely influenced by mobility of the people. By considering this fact, the true value of migration lies on the rapid transformation of existing agrarian pattern of most of the economy. The aim of this paper is to analyze the role of migration in agrarian social change in the eastern hill of Nepal. This research paper is primarily based on the secondary data obtained through reviewing different published as well as digital scholarly sources and other official records to obtain the required information. The study reveals that migration is one of the dominant factors of agrarian social change in hill regions of Nepal. Since, agriculture growth is inevitable for better rural livelihood, the gradual diversification of rural livelihood dominantly influenced the agrarian social structure and the development of rural hill regions.

Analysis of the Impact of Employees' Own Indicators on Employee Mobility

Abstract. Nowadays, the enterprise employee turnover rate has become an important factor in measuring enterprise knowledge loss, human resource management, enterprise comprehensive competitiveness, and enterprise expenditure. Therefore, as much as possible may affect the enterprise employee turnover data and analyze the influence on employee turnover degree can maintain stable staff and increase its comprehensive competitiveness in the market economy system. Employee mobility is not only affected by corporate and macro environmental factors, such as corporate culture, incentive system, employee relations, economic environment, but also related to employees' factors, such as career development planning, job satisfaction, salary, and burnout. Research on employee mobility and its impression factors should be carried out from multiple aspects and perspectives. This paper refers to the relevant literature on the impression factors of employee mobility in the past, combines the basic data that may affect the employee turnover rate to analyze the Impact of employees' indicators on employee mobility, pre-processes the data, and presents the visual image of the data. And then the paper uses multicollinearity diagnosis to exclude the collinearity influencing variables and conduct a preliminary correlation analysis of the variables. Finally, this text establishes a regression analysis model of the related variables, obtains seven variables related to employee mobility, and gives reasonable suggestions for the enterprise research employee turnover rate.

Relationship Between Frequency of Physical Activity, Functional Mobility, and Self-Perceived Health in People with Different Levels of Pain: A Cross-Sectional Study.

Background: Habits including regular physical activity are necessary for maintaining good health. Functional mobility, including walking and going up and down stairs, is essential for personal autonomy and well-being. Pain is a condition related to biological and psychosocial aspects that influence people's lives. Objective: The main objectives of this study were (1) to analyse the associations between physical activity frequency (PAF) and self-perceived health (SPH) and functional mobility (walking and going up and down stairs) in middle-aged and older people living in Spain with different pain levels; and (2) to analyse the risk factors for having a negative SPH and functional mobility difficulties by calculating the probabilistic risks adjusted by different variables (sex, body mass index, social class, civil status, smoking status, pain level, and PAF). Methods: A cross-sectional study based on the European Health Survey data in Spain (EHSS 2014-2020) and The Spanish National Health Survey (SNHS 2017) was carried out, with a final sample of 21,152 participants with ages between 40 and 79 years. Results: Associations between high pain levels and worse SPH and difficulties in walking and climbing stairs were found. Lower PAF levels were associated with higher-probability risks of having a negative SPH and difficulties in walking and climbing stairs. Conclusions: Physical inactivity emerged as an important risk factor for worse SPH and functional mobility. These associations underline the importance that PA programmes can play in the improvement of health and functional mobility, as well as in other aspects, in people with pain.

Limiting factor for electron mobility in sputtered Ga-doped ZnO thin films

Limiting factor for electron mobility in sputtered Ga-doped ZnO thin films

Measuring adolescent girls' agency.

The last decade has experienced a surge of interventions focused on improving adolescent girls' agency. Yet measuring adolescent girls' agency continues to be a challenge, limiting the ability to track impact. This study addresses this evidence gap by constructing and validating a multidimensional measure of agency among adolescent girls in Ethiopia. This study utilized cross-sectional data from 3033 in school adolescent girls aged 10-12 years and 15-17 years and their adult female caregivers collected as part of the Gender and Adolescent: Global Evidence study in 2017-2018 in Ethiopia. This study constructed a measure of agency among the sample and evaluated both known group and convergent validity of the scale. Twenty-two indicators across three domains (decision-making, voice, and mobility) were used to characterize adolescent girls' agency. The data was randomly divided into two halves for exploratory and confirmatory factor analyses separately. While six factors of agency emerged from the initial exploratory analysis, two factors (decision-making and mobility factors) defined adolescent girls' agency from the confirmatory factor analysis. Known-groups validity of the agency scale was confirmed-the scores on the two domains (decision-making and mobility) and the overall agency scale was higher for older girls compared to younger girls and for girls in urban households compared to those in rural households. Convergent validity of the scale was not confirmed. This study advances adolescent girls' agency measurement by providing a validated multidimensional measure that can be used to support future policy and research.

Mobile signals, patterning, and positional information in root development.

Multicellular organisms use mobile intercellular signals to generate spatiotemporal patterns of growth and differentiation. These signals, termed morphogens, arise from localized sources and move by diffusion or directional transport to be interpreted at target cells. The classical model for a morphogen is where a substance diffuses from a source to generate a concentration gradient that provides positional information across a field. This concept, presented by Wolpert and popularized as the "French Flag Model," remains highly influential, but other patterning models, which do not rely on morphogen gradients, also exist. Here, we review current evidence for mobile morphogenetic signals in plant root development and how they fit within existing conceptual frameworks for pattern formation. We discuss how the signals are formed, distributed, and interpreted in space and time, emphasizing the regulation of movement on the ability of morphogens to specify patterns. While significant advances have been made in the field since the first identification of mobile morphogenetic factors in plants, key questions remain to be answered, such as how morphogen movement is regulated, how these mechanisms allow scaling in different species, and how morphogens act to enable plant regeneration in response to damage.

The Universal Neighborhood Effect Averaging in Mobility-Dependent Environmental Exposures.

The neighborhood effect averaging problem (NEAP) is a fundamental statistical phenomenon in mobility-dependent environmental exposures. It suggests that individual environmental exposures tend toward the average exposure in the study area when considering human mobility. However, the universality of the NEAP across various environmental exposures and the mechanisms underlying its occurrence remain unclear. Here, using a large human mobility data set of more than 27 000 individuals in the Chicago Metropolitan Area, we provide robust evidence of the existence of the NEAP in a range of individual environmental exposures, including green spaces, air pollution, healthy food environments, transit accessibility, and crime rates. We also unveil the social and spatial disparities in the NEAP's influence on individual environmental exposure estimates. To further reveal the mechanisms behind the NEAP, we perform multiscenario analyses based on environmental variation and human mobility simulations. The results reveal that the NEAP is a statistical phenomenon of regression to the mean (RTM) under the constraints of spatial autocorrelation in environmental data. Increasing travel distances and out-of-home durations can intensify and promote the NEAP's impact, particularly for highly dynamic environmental factors like air pollution. These findings illuminate the complex interplay between human mobility and environmental factors, guiding more effective public health interventions.

Function and activity capacity at 1 year after the admission to intensive care unit for COVID-19

Objective To describe hand grip strength, walking speed, functional mobility, and postural control at one year following intensive care unit admission for COVID-19, and to find any predictors that are associated with impaired hand grip strength, walking speed, functional mobility, or postural control at the 1-year follow-up. Design Retrospective cross-sectional and longitudinal observational study. Setting Intensive care unit and outpatient research clinic at Sahlgrenska University Hospital. Participants Of the 105 individuals in “The Gothenburg Recovery and Rehabilitation after COVID-19 and Intensive Care Unit” cohort, 78 participated in this study. Main measures Descriptive statistics for hand grip strength, walking speed, functional mobility, and postural control were presented and binary logistic regressions were performed to find their significant predictors. Results At 1-year following intensive care unit admission for COVID-19, impaired hand grip strength was found in 24.4% for the right hand and 23.1% for the left hand. Walking speed, functional mobility, and postural control were found to be impaired in 29.5%, 21.8%, and 5.1%, respectively. For impaired walking speed, longer length of stay at intensive care unit and presence of diabetes mellitus were risk factors. Diabetes mellitus was found to be the risk factor for impaired functional mobility. Conclusion In this study, 45% of the participants showed impairment in function, activity capacity or both. These results suggest that individuals who recovered after intensive care unit admission for COVID-19 would benefit from receiving long-term follow-up to enable identification of those with need of physical health assistance and rehabilitation.

Knee joint dysfunction in the patients immediately before arthroplasty was well reflected by locomotive syndrome, not physical frailty.

We assessed physical function by three different methods in patients with knee osteoarthritis just before total knee arthroplasty (TKA) and investigated the relationship between impairment of mobility and preoperative factors. All patients scheduled to undergo TKA at our hospital were assessed for basic attributes, clinical assessment, radiography, whole-body mode DXA, knee muscle strength. And frailty, sarcopenia, and locomotive syndrome (LS) were evaluated. Among 204 patients (213 knees),172 women, mean age 75.0 years, the overall distribution in frailty was <no: 14.6%, pre-frailty: 58.5%, and frailty: 26.8%>; in sarcopenia <no: 93.3%, yes: 3.4%, and severe: 3.4%>; and in LS <Stage 0: 0%, Stage 1: 3.3%, Stage 2: 11.4%, and stage 3: 85.3%>. Eighty-seven percent of the patients with frailty and 92% with LS stage 3 did not suffer from sarcopenia. Statistically significant relationships were observed between sarcopenia and frailty, while no relationship between LS and frailty or LS and sarcopenia. Multivariate analysis of related factors with severity level for frailty and LS revealed statistically significant correlations for frailty with gait speed and LS with KSS and muscle strength. In the patients with knee OA immediately before arthroplasty, physical frailty and LS was not related with by sarcopenia. Knee joint dysfunction without sarcopenia was well reflected by LS, not by physical frailty.

Dual role of BdMUTE during stomatal development in the model grass Brachypodium distachyon.

Grasses form morphologically derived, four-celled stomata, where two dumbbell-shaped guard cells (GCs) are flanked by two lateral subsidiary cells (SCs). This innovative form enables rapid opening and closing kinetics and efficient plant-atmosphere gas exchange. The mobile bHLH transcription factor MUTE is required for SC formation in grasses. Yet whether and how MUTE also regulates GC development and whether MUTE mobility is required for SC recruitment is unclear. Here, we transgenically impaired BdMUTE mobility from GC to SC precursors in the emerging model grass Brachypodium distachyon. Our data indicate that reduced BdMUTE mobility severely affected the spatiotemporal coordination of GC and SC development. Furthermore, although BdMUTE has a cell-autonomous role in GC division orientation, complete dumbbell morphogenesis of GCs required SC recruitment. Finally, leaf-level gas exchange measurements showed that dosage-dependent complementation of the four-celled grass morphology was mirrored in a gradual physiological complementation of stomatal kinetics. Together, our work revealed a dual role of grass MUTE in regulating GC division orientation and SC recruitment, which in turn is required for GC morphogenesis and the rapid kinetics of grass stomata.

Occurrence and human exposure risk of antibiotic resistance genes in tillage soils of dryland regions: A case study of northern Ningxia Plain, China

Agricultural soils are important source and sink of antibiotic resistance genes (ARGs). However, little is known about the fate of ARGs in dryland soils, while its human exposure risks were seriously overlooked. Taking the northern Ningxia Plain as a case, this study explored the occurrence of ARGs and its relationship with mobile genetic elements (MGEs), pathogens, and environmental factors. Furthermore, the concentrations of airborne ARGs by soil wind erosion and the human exposure doses of soil ARGs were evaluated. The results showed the abundances of different regions ranged from 4.0 × 105 to 1.6 × 106 copies/g. Soil ARGs are driven by MGEs, but multiply impacted by soil properties, nutrition, and bacterial community. Vibrio metschnikovii, Acinetobacter schindleri, and Serratia marcescens are potential pathogenic hosts for ARGs. Further exploration revealed the concentration of ARGs loaded in dust by soil wind erosion reached more than 105 copies/m3, which were even higher than those found in sewage treatment plants and hospitals. Skin contact is the primary route of ARGs exposure, with a maximum dose of 24071.33 copies/kg/d, which is largely attributed to ARGs loaded in dust. This study bridged the gap on ARGs in dryland soils, and provided reference for human exposure risk assessment of soil ARGs.

A complex stress-induced dislocation core reconstruction of an edge dislocation on the first pyramidal plane in magnesium and its abnormal dislocation mobility

The effect of the complex stress on the mobility of an edge dislocation on the first pyramidal plane in magnesium is investigated through molecular dynamic simulation (MDs). A novel dislocation with greatly improved mobility is obtained by applying the combined compressive normal stress and shear. The Peierls stress of the new dislocation is reduced to less than a tenth of the original and the mobility factor increases almost twice. Based on the analyses of atomic configuration and the energy barrier of vacancy formation, the mobility improvement is ascribed to the dislocation core reconstruction and its related dissociation. These new findings are also validated in other HCP metals e.g. Ti and Zr.

Electrophoretic mobility of nanoparticle aggregates: Independence from aggregate size

The zeta potential is a widely used parameter to categorize particle-particle interaction and aggregation. This parameter is often determined by the measurement of electrophoretic mobility. For single particles, various approximations allow a direct correlation between the mobility and the zeta potential. However, for aggregates, which are often found in the environment and in industrial applications, such approximations are less utilized. The relation between the size of aggregates and the resulting electrophoretic mobility has not yet been extensively explored and is often not considered. Here, we control the aggregate size additive-free of two fumed silica types with different primary particle diameters for comprehensive electrophoretic and dynamic light scattering measurements. We evaluate the influence of primary particle diameter and aggregate size on electrophoretic mobility. Our results reveal that the primary particle diameter is the defining factor for the electrophoretic mobility of the aggregates. This finding provides new insights into the electrokinetic behavior of aggregates and emphasizes the importance of primary particle properties in predicting colloidal interactions.

Challenges and Barriers in Accessing Financial Aid for Low-Income Minority Students in the United States

This paper presents a critical analysis of some of the major barriers that low income minority students in the United States encounter in their quest for scholarships. Higher education has emerged as a critical factor for social and economic mobility and stability in the last few decades. Financial aid has really played a crucial role in enabling low-income and minority students to study at institutions of higher learning. But there are so many factors that may limit such kinds of students from accessing such help. Some of the concerns highlighted are; the process of applying for a grant is complex, there is inadequate guidance and support, and the grant system is impartial. This is especially a problem for students who do not understand the financial terms or those who have language issues. While some schools provide financial aid workshops and counseling services, there is a lack of their availability and the quality of the services provided, thus making students desperate for the assistance they require. Hence, using data from online self-completed questionnaires and interviews and conducting a review of secondary data, this research work mainly aims to identify these challenges and then propose solutions.

Physiological presentation and risk factors of long COVID in the UK using smartphones and wearable devices: a longitudinal, citizen science, case–control study

The emergence of long COVID as a COVID-19 sequela was largely syndromic in characterisation. Digital health technologies such as wearable devices open the possibility to study this condition with passive, objective data in addition to self-reported symptoms. We aimed to quantify the prevalence and severity of symptoms across collected mobile health metrics over 12 weeks following COVID-19 diagnosis and to identify risk factors for the development of post-COVID-19 condition (also known as long COVID). The Covid Collab study was a longitudinal, self-enrolled, community, case-control study. We recruited participants from the UK through a smartphone app, media publications, and promotion within the Fitbit app between Aug 28, 2020, and May 31, 2021. Adults (aged ≥18 years) who reported a COVID-19 diagnosis with a positive antigen or PCR test before Feb 1, 2022, were eligible for inclusion. We compared a cohort of 1200 patients who tested positive for COVID-19 with a cohort of 3600 sex-matched and age-matched controls without a COVID-19 diagnosis. Participants could provide information on COVID-19 symptoms and mental health through self-reported questionnaires (active data) and commercial wearable fitness devices (passive data). Data were compared between cohorts at three periods following diagnosis: acute COVID-19 (0-4 weeks), ongoing COVID-19 (4-12 weeks), and post-COVID-19 (12-16 weeks). We assessed sociodemographic and mobile health risk factors for the development of long COVID (defined as either a persistent change in a physiological signal or self-reported symptoms for ≥12 weeks after COVID-19 diagnosis). By Aug 1, 2022, 17 667 participants had enrolled into the study, of whom 1200 (6·8%) cases and 3600 (20·4%) controls were included in the analyses. Compared with baseline (65 beats per min), resting heart rate increased significantly during the acute (0·47 beats per min; odds ratio [OR] 1·06 [95% CI 1·03-1·09]; p<0·0001), ongoing (0·99 beats per min; 1·11 [1·08-1·14]; p<0·0001), and post-COVID-19 (0·52 beats per min; 1·04 [1·02-1·07]; p=0·0017) phases. An increased level of historical activity in the period from 24 months to 6 months preceding COVID-19 diagnosis was protective against long COVID (coefficient -0·017 [95% CI -0·030 to -0·003]; p=0·015). Depressive symptoms were persistently elevated following COVID-19 (OR 1·03 [95% CI 1·01-1·06]; p=0·0033) and were a potential risk factor for developing long COVID (1·14 [1·07-1·22]; p<0·0001). Mobile health technologies and commercial wearable devices might prove to be a useful resource for tracking recovery from COVID-19 and the prevalence of its long-term sequelae, as well as representing an abundant source of historical data. Mental wellbeing can be impacted negatively for an extended period following COVID-19. National Institute for Health and Care Research (NIHR), NIHR Maudsley Biomedical Research Centre, UK Research and Innovation, and Medical Research Council.

Study on the Influencing Factors of Oil Bearing and Mobility of Shale Reservoirs in the Fourth Member of the Shahejie Formation in the Liaohe Western Depression

Study on the Influencing Factors of Oil Bearing and Mobility of Shale Reservoirs in the Fourth Member of the Shahejie Formation in the Liaohe Western Depression

Leveraging Edge Computing for Video Data Streaming in UAV-Based Emergency Response Systems.

The rapid advancement of technology has greatly expanded the capabilities of unmanned aerial vehicles (UAVs) in wireless communication and edge computing domains. The primary objective of UAVs is the seamless transfer of video data streams to emergency responders. However, live video data streaming is inherently latency dependent, wherein the value of the video frames diminishes with any delay in the stream. This becomes particularly critical during emergencies, where live video streaming provides vital information about the current conditions. Edge computing seeks to address this latency issue in live video streaming by bringing computing resources closer to users. Nonetheless, the mobile nature of UAVs necessitates additional trajectory supervision alongside the management of computation and networking resources. Consequently, efficient system optimization is required to maximize the overall effectiveness of the collaborative system with limited UAV resources. This study explores a scenario where multiple UAVs collaborate with end users and edge servers to establish an emergency response system. The proposed idea takes a comprehensive approach by considering the entire emergency response system from the incident site to video distribution at the user level. It includes an adaptive resource management strategy, leveraging deep reinforcement learning by simultaneously addressing video streaming latency, UAV and user mobility factors, and varied bandwidth resources.

Cortical activation among young adults during mobility in an indoor real-world environment: A mobile EEG approach

Human mobility requires neurocognitive inputs to safely navigate the environment. Previous research has examined neural processes that underly walking using mobile neuroimaging technologies, yet few studies have incorporated true real-world methods without a specific task imposed on participants (e.g., dual-task, motor demands). The present study included 40 young adults (M = 22.60, SD = 2.63, 24 female) and utilized mobile electroencephalography (EEG) to examine and compare theta, alpha, and beta frequency band power (μV2) during sitting and walking in laboratory and real-world environments. EEG data was recorded using the Muse S brain sensing headband, a portable system equipped with four electrodes (two frontal, two temporal) and one reference sensor. Qualitative data detailing the thoughts of each participant were collected after each condition. For the quantitative data, a 2 × 2 repeated measures ANOVA with within subject factors of environment and mobility was conducted with full participant datasets (n = 17, M = 22.59, SD = 2.97, 10 female). Thematic analysis was performed on the qualitative data (n = 40). Our findings support that mobility and environment may modulate neural activity, as we observed increased brain activation for walking compared to sitting, and for real-world walking compared to laboratory walking. We identified five qualitative themes across the four conditions 1) physical sensations and bodily awareness, 2) responsibilities and planning, 3) environmental awareness, 4) mobility, and 5) spotlight effect. Our study highlights the importance and potential for real-world methods to supplement standard research practices to increase the ecological validity of studies conducted in the fields of neuroscience and kinesiology.

Understanding non-permanent mobility: Factors influencing resident movement in Racang Welak Village, Welak Subdistrict, West Manggarai Regency

Background: The factors of mobility in this study refer to the push and pull factors influencing the non-permanent mobility of the residents of Racang Welak Village, Welak Subdistrict, West Manggarai Regency. Most of the residents in Racang Welak Village are seasonal farmers. Non-permanent mobility is influenced by good accessibility and sufficient access to technology. The area of Racang Welak Village cannot fully meet the needs of the local community, leading them to seek employment outside their area despite the strategic potential of Racang Welak to boost their economy. Method: The objectives of this study are to identify the factors that cause the residents of Racang Welak Village, Welak Subdistrict, West Manggarai Regency, to engage in non-permanent mobility. This research is a descriptive qualitative study. Data collection methods include observation, interviews, and documentation. The sample consists of residents of Racang Welak Village who participate in non-permanent mobility. Result: The results of this study show that the fertile soil conditions in Racang Welak Village allow for the cultivation of various types of crops, resulting in many residents working as seasonal farmers. Seasonal farmers whose needs are not met locally often seek information about job opportunities elsewhere. With information received from family members in the destination area, the residents of Racang Welak Village decide to work in other regions without the initial intention to settle there. Conclusion: The push factors for non-permanent mobility among Racang Welak residents include unmet needs in their home area. Despite having to bear transportation costs, they still choose to engage in non-permanent mobility. The pull factors include a pleasant environment, good social interactions, and job opportunities obtained through relatives in the destination area. Additionally, the work locations are strategic and offer jobs that match their professional skills, resulting in higher incomes. Novelty/Originality of this study: This research aims to identify the push and pull factors of non-permanent mobility and how the inability to meet local needs drives residents to seek employment outside the region. These findings apply to designing local economic development policies that can reduce dependence on non-permanent mobility by increasing job opportunities and accessibility in the region of origin.