Moog (United States)

Crop microinsurance penetration rate is low among the smallholder farmers mainly because of the traditional lack of trust in the financial institutions and the lack of knowledge about procedures to claim. To address that challenge, this study utilizes existing trust-building theory, financial capability frameworks, and community-based outreach models to generate an integrated model applicable to product cooperatives. Using principles of systematic review and synthesis, this paper charts a course through the literature base to illustrate the ways programming implementation, communication transparency and peer-led intervention are already understood to successfully counter skepticism and misunderstanding. On such barriers such as information asymmetry, culture of negativity and historical final non-payment is been identified and thereby the mappings so derived lead the design of taxonomies in intervention trigger points in cooperative societies. The examination provides a matrix of outreach and literacy to assist in the development of context-specific, optimised interventions, which has practical implications for both practice and policy. It also identifies specific measures (e.g., trust perceptions) to assess intervention effectiveness, application of academic measures (i.e., financial literacy, intention to enrol), intermediate outcomes (i.e., reduction of misinformation among hard-to-reach populations), and participation in outreach. Our systematic approach also offers a practical foundation for the development and testing of microinsurance uptake-promoting interventions to facilitate inclusive and sustainable development of local financial systems in rural settings.

De stikstofproblematiek is de afgelopen jaren uitgegroeid tot één van de belangrijkste knelpunten voor ruimtelijke ontwikkeling in Nederland. Deze studie beschrijft de drie onderliggende problemen: het milieukundige, het ecologische en het beleidsmatige probleem. Op basis van wetenschappelijke kennis en inzichten komen we tot een samenhangende maar gedifferentieerde beleidsmatige aanpak om het ecologische en het milieukundige probleem op te lossen. Dit betreffen effectgerichte maatregelen om de natuurkwaliteit te verbeteren en een gecombineerd robuust lokaal, gebiedsgericht en landelijk emissiebeleid om de stikstofuitstoot, en daarmee de depositie van stikstof op natuur, op een geborgde en controleerbare manier te reduceren in samenhang met vermindering van de uitstoot van broeikasgassen en stikstofverliezen naar het water. Als laatste is een systeem nodig waarin de vergunningverlening zich concentreert op werkelijk vergunningsplichtige projecten en niet op bedrijven die een doeltreffend duurzaam ondernemersplan hebben met bedrijfsgerichte maatregelen die ervoor zorgen dat sprake is van emissiereductie tot onder de maximaal toegekende emissienorm. Via deze samenhangende aanpak is het mogelijk om antwoorden te geven op de huidige stikstofcrisis.

Background: Cirrhotic patient develops esophageal varix due to portal hypertension also increase the risk of developing encephalopathy. Hepatic encephalopathy is a neuropsychiatric syndrome caused by liver disease that occurs in 30-40% of patients with cirrhosis. Minimal hepatic encephalopathy (MHE) is a state in which patients with cirrhosis of liver regardless of its cause show a number of quantifiable abnormal psychometric tests. This study aimed to see the association of severity of esophageal varix with Minimal Hepatic Encephalopathy in patients with Cirrhosis of Liver. Methods: This hospital based observational analytical study included 40 patients with Cirrhosis of liver admitted to the Department of Medicine, Rajshahi Medical College Hospital from July-December 2012. Complete history was taken either from patients or accompanying attendants. Thorough clinical examination was done. Relevant investigations report was collected. All the information’s were recorded on the fixed protocol. Collected data was classified, edited, coded and entered into the computer for statistical analysis by using SPSS. Results: Severity of liver disease according to Child-Pugh Grading, Grade-A was 02(5%), Grade-B was 30(75%) and Grade-C was 08(20%). Prevalence of number connection tests positive was 15(37.5%), line tracing test positive were 15(37.5%), serial dotting test positive were 16(40.0%) and two test positives were 15(37.5%). Association between line tracing test with Child-Pugh Grading, out of 15 positive line tracing test, 09 had Grade-B and 06 had Grade-C, p value was (p<0.05) that was statistically significant. Association between serial dotting tests with Child-Pugh Grading, out of 16 positive serial dotting tests, 09 had Grade- B and 07 had Grade- C, p value was (p<0.05) that was statistically significant. Association between psychometric tests with esophageal varix by Paquet’s grading, out of 40 patients 15 patients were grade-III, who were psychometric test positive groups and 16 patients were grade-III and 09 patients were grade-II who were psychometric test negative groups, p value was (p<0.05) statistically significant. In psychometric test positive groups mean duration of disease were 7.25(1.12) months and psychometric test negative groups were 5.09(1.99) months, p value were (<0.001) that was statistically significant. Conclusion: Minimal hepatic encephalopathy (MHE) is common in patients with stable cirrhosis of liver. There is a good relationship between MHE with advanced liver disease by Child-Pugh Grading. Esophageal varix with high grade severity is common in cirrhotic patients who have MHE and longer duration of disease.

The love for horses is deeply rooted in human history and culture, captivating us with their magnificent nature. For millennia, horses have been crucial to human survival and development, providing transportation, labor, and even status. Currently, interest in human relationships with other animals has grown significantly, in the context of promoting the well-being and essential health of both species. This entry aims to explore the possibilities of human–horse relationships, from early interactions to strong bonds. The literature collected here highlights the complexity of this relationship, with special attention to the various biological and social factors involved. The text compares historical practices with current perspectives, examining how these changes affect the relationship between humans and horses. It examines how connecting with horses potentially benefits both humans and horses, underlining the importance of recognizing horse behavior and noting that our assumptions may not reflect their true needs. This literature enriches our understanding of the multifaceted nature of human–horse relationships, offering a new perspective on horse care, which focuses on positive relationship and well-being, and therefore on the importance of harmonious provision of all domains of well-being, highlighting the importance of healthy behavioral interactions and emotional stability of both species.

This study evaluates the ergonomic benefits of a novel chair featuring a four-segment flexible seat pan designed to support correct sitting posture. Motion capture and electromyography tools are used to quantitatively assess the impact of different chair designs on pelvic and lumbar angles and muscle usage through two ergonomic experiments (short- and long-term). In the short-term experiment (30 participants), the proposed chair demonstrated significant improvements in maintaining the spine’s S-shape, with hip and lumbar angle enhancements of up to 15.3° compared to a conventional chair. The long-term experiment (20 participants) revealed that the proposed chair led to a more favourable muscle fatigue profile during prolonged sitting, with a 47% decrease at lower frequencies (0 to 20 Hz) and a 34% increase at higher frequencies (60 to 80 Hz) compared to the conventional chair, indicating reduced muscle fatigue. These results suggest that the proposed chair can significantly improve posture and reduce fatigue in settings that require prolonged sitting.

Sensorimotor and cognitive abilities undergo substantial changes throughout the human lifespan, but the corresponding changes in the functional properties of cortical networks remain poorly understood. This can be studied using temporal and spatial scales of functional magnetic resonance imaging (fMRI) signals, which provide a robust description of the topological structure and temporal dynamics of neural activity. For example, timescales of resting-state fMRI signals parsimoniously predict a significant amount of the individual variability in functional connectivity networks identified in adult human brains. In the present study, we quantified and compared temporal and spatial scales in resting-state fMRI data collected from 2,352 subjects of either sex between the ages of 5 and 100 in Developmental, Young Adult, and Aging datasets from the Human Connectome Project. For most cortical regions, we found that both temporal and spatial scales decreased with age throughout the lifespan, with the visual cortex and the limbic network consistently showing the largest and smallest scales, respectively. For some prefrontal regions, however, these two scales displayed non-monotonic trajectories and peaked around the same time during adolescence and decreased throughout the rest of the lifespan. We also found that cortical myelination increased monotonically throughout the lifespan, and its rate of change was significantly correlated with the changes in both temporal and spatial scales across different cortical regions in adulthood. These findings suggest that temporal and spatial scales in fMRI signals, as well as cortical myelination, are closely coordinated during both development and aging.

Speech disorders differ between Parkinson's disease (PD) and multiple system atrophy (MSA), but studies focusing on group differences based on syllables or including cerebellar ataxia (CA) are lacking until now. This cross-sectional study aimed to analyze syllable-based speech characteristics in patients with PD, MSA, and CA, as well as healthy controls, to determine their diagnostic utility. Speech samples were collected from 68 PD, 52 MSA, 23 CA, and 70 healthy controls. Participants performed four speech tasks: producing high- and low-pitched sounds for five Korean vowels, repeating 14 Korean consonants with the vowel /a/, raising and lowering pitch of the vowel /a/, and continuously repeating /pa-ta-ka/ for 5s. Acoustic analysis and artificial intelligence-based exploratory analysis were conducted to identify the syllable combinations that best distinguished between disease groups. Among the four speech tasks, the sequential motion rate task (/pa-ta-ka/ repetition) demonstrated the highest classification accuracy in distinguishing PD, MSA, and CA from the other groups, with accuracies of 68.90%, 77.42%, and 73.39%, respectively. For single syllable sequence, the /ka-ka-ka/ sequence achieved the highest accuracy, distinguishing CA from other groups with an accuracy of 78.92%. Among combined syllable sequence, the /aaa-hahaha/ sequence exhibited accuracies of 78.63% and 83.33% in differentiating PD and CA, respectively, while the /dadada-aaa/ sequence showed an accuracy of 80.24% in distinguishing MSA from other groups. These findings suggest that syllable-based speech characteristics, along with acoustic parameters, can discriminate among parkinsonian disorders and CA, highlighting their potential as a promising diagnostic tool.

The advent of the internet has significantly transformed the landscape of self-directed learning among students in higher education. However, disparities persist in the foundational skills required for effective internet use and computer operation among these students. To investigate the factors contributing to these variations in internet proficiency, this study titled “Navigating the Digital Divide: Gender, academic streams, and socio economic influences on internet knowledge among undergraduates” was conducted. Utilizing the Internet Knowledge Scale (IKS), developed by the researcher, alongside the Socio Economic Status Scale (SESS) developed by Rajeev Lochan Bharadwaj, a sample of 150 undergraduate students comprising both male and female participants from diverse academic disciplines and socio-economic backgrounds was analyzed. The research employed both descriptive and inferential statistical methods to draw conclusions. The findings revealed that academic streams and socio-economic status significantly influenced internet knowledge among students, while gender did not emerge as a determining factor. This underscores the need for targeted educational interventions that address these disparities, ensuring equitable access to digital literacy resources across different student demographics.