583 research outputs found
Factors Influencing Customer Loyalty Towards Probiotic Kefir Myanmar Co., Ltd (Swe Swe Mar, 2023)
No full textThe study aims to analyze the factors influencing trust, product reliability, perceived
value, health concern, and price on customer loyalty towards Probiotic Kefir Myanmar Co.,
Ltd. It also explores the moderating effect of familiarity with the service provider on these
relationships. To meet research objectives, both primary and secondary data are used. A
total of 356 customers are listed as loyal customers by Probiotic Kefir Myanmar Co., Ltd,
who have made purchases over the past two years. Primary data are collected from 178
members who are selected from a total of 356 customers who have been using Probiotic
Kefir Myanmar products at least two times. Respondents are selected through a simple
random sampling method and using a structured questionnaire with a 5-point Likert scale.
Secondary data are collected from the Probiotic Kefir Myanmar Facebook page, relevant
textbooks, internet websites, and related research papers. The findings indicate that the
influences of three factors such as trust, perceived value and price factors have a strong
effect on customer loyalty. Furthermore, the results emphasize that familiarity with the
service provider does not significantly impact customer loyalty. The study recommends
that maintaining high quality and trustworthiness should be a priority for the product brand
to sustain and enhance customer loyalty
The churn among firms
No full textCapitalism ; Competition ; Consumers ; Consumption (Economics) ; Corporations ; Cost and standard of living ; Business enterprises ; Productivity
Analysis of Dual axis Solar Tracking System by using Lock Anti Phase Drive Method
No full textSolar energy is rapidly advancing as an important means of renewable energy resource. Many of the solar panels throughout the world are positioned with the fixed angles. Solar tracking enables more solar energy to be generated because the solar panel is able to maintain a perpendicular profile to the sun's rays. Solar trackers move the solar panel to follow the sun trajectories and keep the orientation of the solar collector at an optimal tilt angle. The main objective of this research is to develop an dual axis solar tracking system azimuth angle as well as altitude angle in which solar panel will keep aligned with sunlight in order to maximize in harvesting solar power generation from the solar panel and to show for the output power with dual axis solar tracking system is higher than without tracking system in the sunny day condition. This research focus on the development of new approach to control the dual axis solar tracking system by using DC motor and controller design is simple structure and saving cost by using LM 324 op amp IC. Design and construction of a prototype for solar tracking system which detects the sunlight using Light Dependent Resistors LDR and DC motor is used to control the appropriate position of the panel where it can receive maximum sunlight. In this dual axis control system, lock anti phase drive method is used for H bridge. From the hardware testing, the solar tracker is proven more effective for capturing the maximum sunlight source for solar harvesting applications. Swe Swe Mar | Zarchi San | Thuzar Mon "Analysis of Dual-axis Solar Tracking System by using Lock Anti-Phase Drive Method" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-6 , October 2018, URL: https://www.ijtsrd.com/papers/ijtsrd18594.pd
Consistency in the AMSR-E snow products: groundwork for a coupled snowfall and SWE algorithm
No full text2019 Fall.Includes bibliographical references.Snow is an important wintertime property because it is a source of freshwater, regulates land-atmosphere exchanges, and increases the surface albedo of snow-covered regions. Unfortunately, in-situ observations of both snowfall and snow water equivalent (SWE) are globally sparse and point measurements are not representative of the surrounding area, especially in mountainous regions. The total amount of land covered by snow, which is climatologically important, is fairly straightforward to measure using satellite remote sensing. The total SWE is hydrologically more useful, but significantly more difficult to measure. Accurately measuring snowfall and SWE is an important first step toward a better understanding of the impacts snow has for hydrological and climatological purposes. Satellite passive microwave retrievals of snow offer potential due to consistent overpasses and the capability to make measurements during the day, night, and cloudy conditions. However, passive microwave snow retrievals are less mature than precipitation retrievals and have been an ongoing area of research. Exacerbating the problem, communities that remotely sense snowfall and SWE from passive microwave sensors have historically operated independently while the accuracy of the products has suffered because of the physical and radiometric dependency between the two. In this study, we assessed the relationship between the Northern Hemisphere snowfall and SWE products from the Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E). This assessment provides insight into regimes that can be used as a starting point for future improvements using coupled snowfall and SWE algorithm. SnowModel, a physically-based snow evolution modeling system driven by the Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA-2) reanalysis, was employed to consistently compare snowfall and SWE by accounting for snow evolution. SnowModel has the ability to assimilate observed SWE values to scale the amount of snow that must have fallen to match the observed SWE. Assimilation was performed using AMSR-E, Canadian Meteorological Centre (CMC) Snow Analysis, and Snow Data Assimilation System (SNODAS) SWE to infer the required snowfall for each dataset. Observed AMSR-E snowfall and SWE were then compared to the MERRA-2 snowfall and SnowModel-produced SWE as well as SNODAS and CMC inferred snowfall and observed SWE. Results from the study showed significantly different snowfall and SWE bias patterns observed by AMSR-E. Specifically, snowfall was underestimated nearly globally and SWE had pronounced regions of over and underestimation. Snowfall and SWE biases were found to differ as a function of surface temperature, snow class, and elevation
Validity and reliability of the Swedish version of the Children’s Sleep Habits Questionnaire (CSHQ-SWE)
No full textBackground: To translate and culturally adapt the Children’s Sleep Habits Questionnaire (CSHQ) to a Swedish version, CSHQ-SWE, and to assess its validity and reliability for use with children with attention deficit hyperactivity disorder (ADHD). Methods: A total of 84 children with ADHD (51 boys and 33 girls; 6–12 years) and parents (7 men and 77 women; 28–51 years) were included in the study. CSHQ was translated and culturally adapted to Swedish, and assessed for concurrent validity with sleep actigraphy (analyzed by Kendall’s Tau) and for reliability by internal consistency (analyzed by McDonald’s Omega H). Face and content validity was evaluated by parents (n = 4) and healthcare professionals (n = 6) qualitatively (comprehensiveness, relevance, and comprehensibility assessed by interviews and analyzed by thematic analysis) and quantitatively (analyzed by content validity ratio and content validity index for 33 items and four non-scored inquiries). Results: Parent-reported sleep problems (CSHQ-SWE total score) were moderately correlated with less “Sleep Efficiency” (Tau = −0.305; p < 0.001) measured by sleep actigraphy. Parent-reported problems with “Sleep Onset Delay” was moderately correlated with measured time for ”Sleep Onset Latency” (Tau = 0.433; p < 0.001). Parent-reported problems with “Night Wakings” were weakly correlated with measured time for “Wake After Sleep Onset” (Tau = 0.282; p < 0.001). Parents estimation of “Total daily sleep duration” was moderately correlated with measured “Total Sleep Time” (Tau = 0.386; p < 0.001). Five of the seven subscales reached an acceptable level for internal consistency (McDonald’s Omega H > 0.700). Comprehensiveness, relevance, and comprehensibility of CSHQ-SWE were satisfactory overall. Content validity ratio was 0.80 to 1.00 for six items, 0.00 to 0.60 for 22 items, and < 0.00 for nine items. Content validity index was 0.22. Conclusions: CSHQ-SWE demonstrated acceptable concurrent validity with objectively measured sleep and internal consistency, whereas the overall results of face and content validity assessment varied. The instrument needs to be further evaluated regarding construct validity, responsiveness, test-retest reliability, and its generalization to other populations. © The Author(s) 2024</p
A review of the genera Myotis, Ia, Pipistrellus, Hypsugo, and Arielulus (Chiroptera: Vespertilionidae) from Myanmar (Burma), including three species new to the country
No full textBates, Paul J. J., Nwe, Tin, Bu, Si Si Hla, Mie, Khin Mie, Swe, Khin Maung, Nyo, Nyo, Khaing, Aye Aye, Aye, Nu Nu, Toke, Yin Yin, Aung, Naing Naing, Thi, Mar Mar, Mackie, Iain (2005): A review of the genera Myotis, Ia, Pipistrellus, Hypsugo, and Arielulus (Chiroptera: Vespertilionidae) from Myanmar (Burma), including three species new to the country. Acta Chiropterologica 7 (2): 205-236, DOI: 10.3161/1733-5329(2005)7[205:AROTGM]2.0.CO;
An Ethnobotanical Survey in Shan State, Myanmar: Where Thanlwin Biodiversity, Health, and Deforestation Meet
No full textMauvais Coulee Basin Hydrologic Data (Observation and Simulation)
No full textThe authors collected snow water equivalent (SWE) data and compiled a hydrologic model for the Mauvais Coulee Basin using Cold Region Hydrologic Platform. The datasets include observed SWE, observed streamflow, simulated SWE, simulated streamflow, simulated SWE maps (Feb 26, Jan 29, Jan 8 and Mar 26 of 2017), land use maps and hydrological representative unit maps (HRU) maps. This study detected a mechanism of hydrologic change to recent wetting using a cold region hydrologic model
Global re-analysis datasets to improve hydrological assessment and snow water equivalent estimation in a sub-Arctic watershed
No full textHydrological modelling in the Canadian sub-Arctic is hindered by sparse meteorological and snowpack data. The snow water equivalent (SWE) of the winter snowpack is a key predictor and driver of spring flow, but the use of SWE data in hydrological applications is limited due to high uncertainty. Global re-analysis datasets that provide gridded meteorological and SWE data may be well suited to improve hydrological assessment and snowpack simulation. To investigate representation of hydrological processes and SWE for application in hydropower operations, global re-analysis datasets covering 1979-2014 from the European Union FP7 eartH2Observe project are applied to global and local conceptual hydrological models. The recently developed Multi-Source Weighted-Ensemble Precipitation (MSWEP) and the WATCH Forcing Data applied to ERA-Interim data (WFDEI) are used to simulate snowpack accumulation, spring snowmelt volume and annual streamflow. The GlobSnow-2 SWE product funded by the European Space Agency with daily coverage from 1979 to 2014 is evaluated against in situ SWE measurement over the local watershed. Results demonstrate the successful application of global datasets for streamflow prediction, snowpack accumulation and snowmelt timing in a snowmelt-driven sub-Arctic watershed. The study was unable to demonstrate statistically significant correlations (p/0.05) among the measured snowpack, global hydrological model and GlobSnow-2 SWE compared to snowmelt runoff volume or peak discharge. The GlobSnow-2 product is found to under-predict late-season snowpacks over the study area and shows a premature decline of SWE prior to the true onset of the snowmelt. Of the datasets tested, the MSWEP precipitation results in annual SWE estimates that are better predictors of snowmelt volume and peak discharge than the WFDEI or GlobSnow-2. This study demonstrates the operational and scientific utility of the global re-analysis datasets in the sub-Arctic, although knowledge gaps remain in global satellite-based datasets for snowpack representation, for example the relationship between passive-microwave-measured SWE to snowmelt runoff volume.Water Resource
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