Miracle-dz/UniFAR-FTUs huggingface dataset:
"Roads less travelled": dependency and resilience in locally-owned trucking companies on the Great Northern Peninsula of Newfoundland and Labrador and the Acadian Peninsula of New Brunswick

The Great Northern Peninsula of Newfoundland and Labrador and the Acadian Peninsula of New Brunswick have been shaped socially, culturally, and economically by cycles of natural resource extraction, unpredictable industrial output, and the continual threat of out-migration. Given these trends, locally-owned trucking companies on both peninsulas struggle to respond positively to a myriad of factors that militate against their ability to provide quality service to the communities in which they operate. The data presented in this research have uncovered that while some locally-owned companies flourish within uncertainty, others fail to become competitive. Accordingly, this dissertation examines the causes for and consequences of dependency and resilience within locally-owned trucking companies on the Great Northern and Acadian Peninsulas. On the one hand, their resilience is impacted significantly by the extent and quality of their integration with the broader national, and even international, trucking industry. On the other, these companies are influenced locally by the durability and quality of their community relationships. Woven through this are the unique cultural and challenging geographic environments with which they must contend. This research is informed by critical political economy, dependency theory and the emergent sociological literature on resilience in marginalized communities. Building on sociological research into regional inequality in Canada, this project modifies the theoretical framework established by Canadian dependency theorists by recognizing the ways in which social actors in underdeveloped regions like Atlantic Canada challenge the economic and social consequences of dependency. Locally-owned trucking companies on the Great Northern and Acadian Peninsulas operate in ways that reflect their varying ability to respond actively to the structural conditions of dependency that dominate the regions in which they operate. This research employs a mixed methodology including analysis of demographic profiles of both the Great Northern and Acadian Peninsulas, a critical review of regime change in Canadian transportation policy as it applies to the Atlantic Provinces, and comparative case studies of locally-owned trucking companies in both research locations. Taken together, these methods have allowed this project to advance sociological understanding of the relationship between dependency and resiliency by uncovering the social and economic circumstances under which limited local resilience can emerge within economically dependent regions.
A Novel Gain-Enhanced Miniaturized and Lightweight Vivaldi Antenna

In this article, we present the design, prototyping, and characterization of an electrically smaller ( $0.36\lambda _{{0}} \times 0.29\lambda _{{0}} \times 0.002\lambda _{{0}}$ ) Vivaldi antenna with enhanced gain performance. The antenna covers a bandwidth of 450 MHz–10 GHz with an average forward realized gain of 10.82 dBi. By applying a novel technique called “cascaded cavity-based substrate cut-out (CCSC),” we were able to increase the low-frequency gain within an electrically smaller Vivaldi antenna. Because the dielectric material has been removed around cavity locations, the antenna’s overall weight is reduced, giving it a high gain per unit substrate weight/volume. The high-frequency gain of the antenna has been improved with a pixelated bilayer metallic director, which flattens the antenna’s overall gain profile over a wider band range. The antenna was constructed using a low-loss RT/duroid 5880 board. The measurement results match the simulation satisfactorily.
Literature Study of Cross-Cultural Size Comparisons Against Personality Traits

After more than a century of research at the university, personality traits have been fully studied and measured, thanks to the work of many researchers. The Big Five is one of the most popular personality tests. It was created using an ethical approach, which says that personality traits should be measured in the same way in all cultures. But as the effects of different cultures grow and researchers learn more, ethical approaches to measuring personality are increasingly questioned. In anthropological research, emic approaches emphasizing the importance of specific cultural methods have been studied. This method is used to create the Big Six and Big Seven scales below. These measurements have been tested and found to be more accurate and valid for measuring personality traits in the right group of people. So, this study is intended to provide a literature review that summarizes how personality traits are defined, the specific content and development of such measurements using ethical and emic approaches, measurement problems based on relevant research, and several other things to think about. About when assessing personality traits using an etic and EMIC approach.
Predictability of Fall Risk Assessments in Community-Dwelling Older Adults: A Scoping Review

Fall risk increases with age, and one-third of adults over 65 years old experience a fall annually. Due to the aging population, the number of falls and related medical costs will progressively increase. Correct prediction of who will fall in the future is necessary to timely intervene in order to prevent falls. Therefore, the aim of this scoping review is to determine the predictive value of fall risk assessments in community-dwelling older adults using prospective studies. A total of 37 studies were included that evaluated clinical assessments (questionnaires, physical assessments, or a combination), sensor-based clinical assessments, or sensor- based daily life assessments using prospective study designs. The posttest probability of falling or not falling was calculated. In general, fallers were better classified than non-fallers. Questionnaires had a lower predictive capability compared to the other assessment types. Contrary to conclusions drawn in reviews that include retrospective studies, the predictive value of physical tests evaluated in prospective studies varies largely, with only smaller-sampled studies showing good predictive capabilities. Sensor-based fall risk assessments are promising and improve with task complexity, although they have only been evaluated in relatively small samples. In conclusion, fall risk prediction using sensor data seems to outperform conventional tests, but the method’s validity needs to be confirmed by large prospective studies.
Multichannel Control for Optimizing the Speed of Imaging in Quantum Diamond Microscope

As a highly sensitive quantum magnetometer, the diamond nitrogen-vacancy (NV) center is capable of operating in extreme environments such as high temperature and pressure. When coupled with a wide-area imaging sensor, it enables wide-field imaging with spatial resolution close to the optical limit, providing an innovative approach to wide-field magnetic imaging in various fields, including medical visualization, basic scientific research, and electronic circuit anomaly diagnosis. Conventionally, optical detection magnetic resonance (ODMR) enables the measurement of magnetic field for the diamond NV centers. However, obtaining the ODMR requires continuous sweeping of a long microwave bandwidth, inducing long blind area errors that limit imaging speed and reduce practical application. To mitigate ODMR sweep time, we introduce a diamond NV center microscope based on a multichannel control system (MCCS). The MCCS realizes intermittent frequency sweeping, enabling it to eliminate the ODMR transition Section and collect only segments containing spin information. This novel approach reduces acquisition time and speeds up computer solution speed. To validate the effectiveness of our proposed system, we perform magnetic field imaging of the printed circuit board (PCB). At the same testing conditions, the MCCS-based system enables six times acquisition speed compared to continuous-wave ODMR (CW-ODMR) and confidence to 95%.
General Moment And Quasi-Maximum Likelihood Estimation Of A Spatially Autocorrelated System Of Equations: An Empirical Example Using On-Farm Precision Agriculture Data

This paper compares two estimation methods of a three-stage least squares (3SLS) system of equations, corrected for spatial autocorrelation. The modeling approach is novel in that it is an extension of Anselin's (1988) seemingly unrelated regression (SUR) space-time spatial error model for panel data. An empirical comparison of the quasi-maximum likelihood (QML) estimation of the equation system, and Kelejian and Prucha's general moments (GM) estimation approach is presented. The model and estimation procedures introduced in this study are easily extended to other economic, agronomic, or biological models that must incorporate spatial and temporal effects in the model specification, and overcome simultaneous equation bias. The empirical example used in this study falls in the realm of production economics: on-farm production data is used to optimize input rates across time and space. This data is the product of on-farm, site-specific manure management research at the University of Minnesota.
Visually Assessing Equine Quality of Movement: A Survey to Identify Key Movements and Patient-Specific Measures

Simple Summary Physiotherapy and rehabilitation is a burgeoning area of practice; to be evidence-based, it needs outcome measures designed for its focus on function. Based on frequency of use and rationale, this online survey aimed to identify a core group of in-hand assessments for equine movement. Additionally, the survey gathered information on how movement is currently monitored and opinions on the usefulness of modifying a patient-reported outcome measure for equine use. The survey attracted 81 participants and identified 24 key movements, including walk and trot on both firm and soft surfaces in a straight line and on a small circle, plus step back, hind leg cross-over, transitions and lunging at walk, trot and canter. Access to suitable surfaces and the training level of the horse and handler are the main barriers to using other movements. The majority (82%) of survey participants agreed or strongly agreed that a modified Patient-Specific Functional Scale would be useful for measuring complex movements. This knowledge of how equine clinicians are currently monitoring movement and using goal-setting will assist in designing a new outcome measure for quality of movement that includes both standardised and individualised measures. Abstract Outcome measures are essential for monitoring treatment efficacy. The lack of measures for quality of movement in equine physiotherapy and rehabilitation impairs evidence-based practice. To develop a new field-based outcome measure, it is necessary to determine movements most frequently observed during assessment of rehabilitation and performance management cases. An online survey of 81 equine sports medicine veterinarians and equine allied-health clinicians was conducted. The key movements identified included walk and trot on both firm and soft surfaces in a straight line and on a small circle, plus step back, hind leg cross-over, transitions and lunging at walk, trot and canter. The main barriers to observing some movements are access to suitable surfaces and the training level of the horse and handler. Subjective visual assessment of live or videoed horses was the most common method used to track progress of complex movements. The majority (82%) of survey participants agreed or strongly agreed that a modified Patient-Specific Functional Scale would be useful for measuring complex movements. Comments from all professions show a desire to have outcome measures relevant to their needs. This survey identified 24 in-hand movements, which can be used to form the foundation of a simple field-based outcome measure for quality of movement.
Aerial-Ground Collaborative Continuous Risk Mapping for Autonomous Driving of Unmanned Ground Vehicle in Off-Road Environments

Terrain risk estimation has always been a crucial but challenging task for autonomous driving of unmanned ground vehicles (UGV) in off-road environments. The map with dense and accurate risk information can help UGV avoid special obstacles such as steep slopes, pits, and ditches while path planning. To solve this problem, this article proposes an aerial-ground collaboration system for continuous risk mapping in off-road environments, utilizing the flexibility and perspective advantages of unmanned aerial vehicles (UAVs). In the system, UAV carries a downward 2-D laser and a visual inertial system to construct a bird's eye map, while UGV is equipped with a 3-D LiDAR for local mapping. In detail, our system focuses on two aspects, which are cross-view map matching and collaborative continuous risk mapping. For cross-view map matching, risk values for point clouds from aerial and ground platforms are calculated and used for terrain segmentation. Then, point-to-voxel residual is built for terrain point sets to accelerate matching. For collaborative continuous risk mapping, an entropy based probabilistic fusion is proposed for accurate risk fusion of overlapping cells. Then, a Bayesian generalized kernel inference algorithm is adapted to predict risk values of the remaining unknown areas. Simulation and real-world experimental results show that the dense and continuous global risk map constructed by the proposed system can effectively assist UGV for path planning in off-road environments.
Post-Acute Myocardial Infarction Heart Failure Core Genes and Relevant Signaling Pathways

Supplemental Digital Content is Available in the Text. Abstract: There is increasing concern about heart failure after myocardial infarction and the current clinical treatment measures for ventricular remodeling. Herein, we present the results of differential gene analysis, pathway enrichment analysis, and characteristic gene screening. Our study identifies 4 core genes (KLRC2, SNORD105, SNORD45B, and RNU5A-1) associated with post-acute myocardial infarction (AMI) heart failure. The authors discuss the significance of the identified core genes, their potential implications in immune dysfunction and heart failure, and their relevance to disease regulatory genes. The study concludes by emphasizing the importance of clinical relevance in molecular research and suggests potential therapeutic targets for post-AMI heart failure.
Diversifying the ‘HSI bubble’: Black and Asian women faculty at Hispanic-Serving Institutions

This qualitative case study explored the experiences of seven Black and Asian women faculty at Hispanic-Serving Institutions (HSIs). The unique experience of each woman is shared in this paper. Three themes highlight the interconnectedness of participant experiences. The first theme indicated that these Black and Asian women faculty operated in unsupportive microclimates within their HSIs. Secondly, participants communicated a need for representation within the “HSI bubble. ” Finally, our participants felt as though their HSIs needed to exercise greater intentionality in terms of truly serving their student populations. Amongst the implications of this research is a better understanding of the experiences of a minority group (i.e., Black and Asian women faculty) within higher education. These experiences can inform administrators on how to move beyond recruitment of Black and Asian women faculty to foster a supportive microclimate so as to retain these women and enable their success.
Comprehensive Analysis Identifies PKP3 Overexpression in Pancreatic Cancer Related to Unfavorable Prognosis

Plakophilin 3 (PKP3) affects cell signal transduction and cell adhesion and performs a crucial function in tumorigenesis. The current investigation evaluated the predictive significance and underlying processes of PKP3 within pancreatic cancer (PC) tissues. The assessment of differences in PKP3 expression was conducted through an analysis of RNA-seq data acquired from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. Additionally, clinical samples were collected to validate the findings. The predictive significance of PKP3 was investigated by analyzing survival data derived from TCGA and clinical specimens. PKP3′s biological function was assessed via phenotypic experiments after the suppression of PKP3 expression within PC cells. Functional enrichment analysis, encompassing KEGG, GO, and GSEA, was employed to assess the underlying mechanism of PKP3. Immune infiltration analysis was conducted in the present investigation to determine the association between PKP3 and tumor-infiltrating immune cells (TICs). In PC tissues, PKP3 expression was abnormally upregulated and correlated with a negative prognosis in individuals with PC. PKP3 can promote the progression, migration, and invasive capacity of PC cells and is relevant to the regulation of the PI3K–Akt and MAPK signaling pathways. Immune infiltration analysis demonstrated that PKP3 impeded CD8+ T-cell infiltration and immune cytokine expression within the tumor microenvironment. The PKP3 protein was identified as a prospective independent predictive indicator and represents a viable approach for immunotherapy in the context of PC. PKP3 may impact prognosis by broadly inhibiting immune cell infiltration and promoting the activation of tumor-associated signaling pathways.
Adoption of the Agriculture Application by Farmers Using the UTAUT2 Method Focused on Community Behavior and User Experience

At the moment, there is a rising penetration of mobile phone use, especially in rural areas, which generates information in the agricultural sector. The advancement of information and technology through mobile phones, particularly smartphones, can help farmers quickly access the most up-to-date information and impact better decision making. Farmers' Adoption of Digital Agricultural Applications Using the UTAUT2 Method with a Focus on User Behavior and Experience in Developing Information Technology Acceptance Policies in the Districts of Lembang and Parongpong, Bandung Regency. According to the findings of this survey, there are 8% male farmers and 14% female farmers. The majority of responses were in the age range of 41-50 years, as much as 44%, and the majority of farming time is less than 10 years, with a proportion of 59%. A person's experience with agricultural applications helps to moderate the behavioral intention variable, which influences the Use Intention variable, and a person's experience with agricultural applications helps him to believe in and take advantage of opportunities to grow his agricultural business.
Themes and Tones of Blog Posts about Animal Agriculture and Protein Production

Research on blogs’ role in public relations about animal agriculture production is limited at best. This case study set out to describe the characteristics of selected bloggers’ writing about protein-related topics and issues, with a special focus on how the protein industry was represented, what themes were most common, and what the tonal characteristics of the blog posts were. Researchers used a content analysis approach to describe the content of 37 blog posts from eight purposively selected blogs that contained posts about protein-related topics. The content analysis showed at least three types of blogs about protein—organizational, which included meat industry organizations as well as activist groups that seek to effect changes in the protein industry; professional, which included blog entries by experts (such as dieticians) representing their own opinions; and personal, which included lifestyle bloggers who were not experts but who provided information to readers on a variety of topics. In terms of themes, four prominent overarching themes were identified by coders, including environment, consumption of protein, alternative protein sources, and alternative dieting. Tones associated with the environmental theme were mostly negative toward the protein industry. Tones associated with the consumption of protein were mostly positive toward the industry. Tones in the blog entries about alternative protein sources and alternative dieting were mixed—both positive and negative toward the protein industry.
Re-entry blackout elimination and communication performance analysis based on laser-plasma-induced X-ray emission

X-ray communication (XCOM) offers important advantages to both civilian and military space projects. Rapid advance in high-intensity laser interaction with plasma has become a driving force for providing a new X-ray carrier generation based on the laser wakefield acceleration scheme. XCOM has the potential to eliminate RF shielding on the ground and communicate with the re-entry supersonic spacecraft during blackout occurrence. In this process, the plasma sheath is formed around the surface due to air compression and ablation, which blocks the traditional communication signals. In this paper, the hazardous substance was proactively exploited and coupled with the modulated laser. Particle-In-Cell simulation results indicate the ultra-bright controllable X-ray emission with a small angular divergence ( 0.04 rad × 0.03 rad), a tunable X-ray energy range (4.60 keV to 321.48 keV), and high photon yields. Additionally, the data rate of the communication via the X-ray carrier during re-entry was estimated up to ∼20.7 Mbps by considering the transmission model, encoding schemes and photon information efficiency. Combined with an existing or developing X-ray detection technique, this regime can eliminate re-entry blackout and also provide a novel modulated X-ray source to acquire high-rate, low transmit power, and highly secure space-based data links.X-ray communication (XCOM) offers important advantages to both civilian and military space projects. Rapid advance in high-intensity laser interaction with plasma has become a driving force for providing a new X-ray carrier generation based on the laser wakefield acceleration scheme. XCOM has the potential to eliminate RF shielding on the ground and communicate with the re-entry supersonic spacecraft during blackout occurrence. In this process, the plasma sheath is formed around the surface due to air compression and ablation, which blocks the traditional communication signals. In this paper, the hazardous substance was proactively exploited and coupled with the modulated laser. Particle-In-Cell simulation results indicate the ultra-bright controllable X-ray emission with a small angular divergence ( 0.04 rad × 0.03 rad), a tunable X-ray energy range (4.60 keV to 321.48 keV), and high photon yields. Additionally, the data rate of the communication via the X-ray carrier during re-entry was estimated u.
Análisis de anomalías gravimétricas y modelación cortical 2D de la región volcánica del Campo de Calatrava (Ciudad Real, España)

La region volcanica de Campo de Calatrava se ha interpretado como un proceso de volcanismo intraplaca desarrollado durante el Neogeno. Se han propuesto dos modelos geodinamicos contrapuestos para explicar el origen de este volcanismo: a) un proceso de rifting en un contexto extensional con un adelgazamiento localizado de corteza; b) un proceso flexural de la litosfera en un contexto compresivo debil sin adelgazamiento de corteza. El analisis de las anomalias gravimetricas de Bouguer y una modelizacion gravimetrica 2D a escala cortical contribuyen a discriminar entre los modelos geodinamicos propuestos para el origen del volcanismo. Los modelos gravimetricos se han constrenido en base a los estudios sismicos profundos existentes en la zona y a la cartografia geologica regional. Los modelos gravimetricos descartan un adelgazamiento cortical, lo que cuestiona el modelo de rifting abortado y apoyan la hipotesis alternativa del proceso flexural de la litosfera en regimen compresivo debil como origen del volcanismo betico.