scholarly journals Analysis of the wedding dress design factor align with value consumption wedding culture

2018 ◽  
Vol 20 (2) ◽  
pp. 1-16
Author(s):  
Yeon Soo Kim ◽  
LEEINSEONG ◽  
김동은
Keyword(s):  
Design Factor

PENGARUH STRATEGI PEMBELAJARAN E-LEARNING DAN MINAT BELAJAR TERHADAP HASIL BELAJAR AKUNTANSI

Akademika ◽  
2019 ◽  
Vol 8 (01) ◽  
pp. 81-100
Author(s):  
Eva Kristiyani ◽  
Iffah Budiningsih
Keyword(s):  
Learning Outcomes ◽  
Learning Strategies ◽  
Learning Strategy ◽  
Sampling Technique ◽  
Student Group ◽  
Design Factor ◽  
Significant Difference ◽  
E Learning ◽  
Learning Interest ◽  
Equivalent Class

The aim of this research is to know the influence of e-learning learning strategy and interest in learning to accounting learning result. This research was conducted at SMK Permata Bangsa Kelurahan Jakasetia, South Bekasi Subdistrict, Bekasi City involving 56 samples taken with random sampling technique to the equivalent class. Instrument used in this research is the accounting test and questionnaire interest in student learning; and the data analysis using two-way ANAVA and Tukey Test. The results of this study obtained: (1) there is a significant difference between the learning outcomes of students who are taught with e-learning learning strategies and expository strategies in which the results of student accounting learning taught by e-learning strategy is higher than the students taught by strategy expository learning. (2) There is an interaction between students who are taught using learning strategies with interest in learning on accounting learning outcomes. (3) This means that the result of group accounting learning which is taught using e-learning learning strategy is significantly higher than that taught using expository learning strategy in students who have high learning interest. (4) While the learning result of student group accounting that is taught using e-learning strategy is same as learning result which is taught using expository learning strategy to students who have low learning interest, influenced by student environment factor and learning design factor in research.

scholarly journals Design and optimisation of magnetically-tunable hybrid piezoelectric-triboelectric energy harvester

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Satish Rao Ganapathy ◽  
Hanim Salleh ◽  
Mohammad Khairul Azwan Azhar
Keyword(s):  
Low Power ◽  
Peak Power ◽  
Energy Harvester ◽  
Open Circuit ◽  
Frequency Range ◽  
Design Factor ◽  
Voltage Generation ◽  
Future Work ◽  
Design Factors ◽  
Extension Length

AbstractThe demand for energy harvesting technologies has been increasing over the years that can be attributed to its significance to low power applications. One of the key problems associated with the available vibration-based harvester is the maximum peak power can only be achieved when the device frequency matches the source frequency to generate low usable power. Therefore, in this study, a magnetically-tunable hybrid piezoelectric-triboelectric energy harvester (MT-HPTEH) was designed and optimised. Four key design factors: mass placement, triboelectric surface area, extension length and magnetic stiffness were investigated and optimised. The voltage generation from piezoelectric and triboelectric mechanisms was determined individually to understand the effect of each design factor on the mechanisms. An output power of 659 µW at 180 kΩ at 44 Hz was obtained from the optimised MT-HPTEH with a theoretical–experimental discrepancy of less than 10%. The added magnetically-tunable feature enabled the harvester to work at the desired frequency range with an open circuit voltage between 7.800 and 20.314 V and a frequency range from 38 to 54 Hz. This MT-HPTEH can power at least six wireless sensor networks and can be used for low power applications such as RFID tags. Future work may include designing of energy-saving and sustainable harvester.

scholarly journals Size Effects in Finite Element Modelling of 3D Printed Bone Scaffolds Using Hydroxyapatite PEOT/PBT Composites

Mathematics ◽  
2021 ◽  
Vol 9 (15) ◽  
pp. 1746
Author(s):  
Iñigo Calderon-Uriszar-Aldaca ◽  
Sergio Perez ◽  
Ravi Sinha ◽  
Maria Camara-Torres ◽  
Sara Villanueva ◽  
...  
Keyword(s):  
Finite Element ◽  
Additive Manufacturing ◽  
Tissue Regeneration ◽  
Finite Element Modelling ◽  
Bulk Material ◽  
Bone Tissue Regeneration ◽  
Patient Specific ◽  
Design Factor ◽  
Element Modelling ◽  
Uncertainty Sources

Additive manufacturing (AM) of scaffolds enables the fabrication of customized patient-specific implants for tissue regeneration. Scaffold customization does not involve only the macroscale shape of the final implant, but also their microscopic pore geometry and material properties, which are dependent on optimizable topology. A good match between the experimental data of AM scaffolds and the models is obtained when there is just a few millimetres at least in one direction. Here, we describe a methodology to perform finite element modelling on AM scaffolds for bone tissue regeneration with clinically relevant dimensions (i.e., volume > 1 cm3). The simulation used an equivalent cubic eight node finite elements mesh, and the materials properties were derived both empirically and numerically, from bulk material direct testing and simulated tests on scaffolds. The experimental validation was performed using poly(ethylene oxide terephthalate)-poly(butylene terephthalate) (PEOT/PBT) copolymers and 45 wt% nano hydroxyapatite fillers composites. By applying this methodology on three separate scaffold architectures with volumes larger than 1 cm3, the simulations overestimated the scaffold performance, resulting in 150–290% stiffer than average values obtained in the validation tests. The results mismatch highlighted the relevance of the lack of printing accuracy that is characteristic of the additive manufacturing process. Accordingly, a sensitivity analysis was performed on nine detected uncertainty sources, studying their influence. After the definition of acceptable execution tolerances and reliability levels, a design factor was defined to calibrate the methodology under expectable and conservative scenarios.

scholarly journals Dynamic Loads and Response of a Spar Buoy Wind Turbine with Pitch-Controlled Rotating Blades: An Experimental Study

Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3598
Author(s):  
Sara Russo ◽  
Pasquale Contestabile ◽  
Andrea Bardazzi ◽  
Elisa Leone ◽  
Gregorio Iglesias ◽  
...  
Keyword(s):  
Wind Speed ◽  
Wind Turbine ◽  
Degrees Of Freedom ◽  
Large Scale ◽  
Laboratory Data ◽  
Nonlinear Behavior ◽  
Offshore Wind ◽  
Small Scale ◽  
Wave Steepness ◽  
Design Factor

New large-scale laboratory data are presented on a physical model of a spar buoy wind turbine with angular motion of control surfaces implemented (pitch control). The peculiarity of this type of rotating blade represents an essential aspect when studying floating offshore wind structures. Experiments were designed specifically to compare different operational environmental conditions in terms of wave steepness and wind speed. Results discussed here were derived from an analysis of only a part of the whole dataset. Consistent with recent small-scale experiments, data clearly show that the waves contributed to most of the model motions and mooring loads. A significant nonlinear behavior for sway, roll and yaw has been detected, whereas an increase in the wave period makes the wind speed less influential for surge, heave and pitch. In general, as the steepness increases, the oscillations decrease. However, higher wind speed does not mean greater platform motions. Data also indicate a significant role of the blade rotation in the turbine thrust, nacelle dynamic forces and power in six degrees of freedom. Certain pairs of wind speed-wave steepness are particularly unfavorable, since the first harmonic of the rotor (coupled to the first wave harmonic) causes the thrust force to be larger than that in more energetic sea states. The experiments suggest that the inclusion of pitch-controlled, variable-speed blades in physical (and numerical) tests on such types of structures is crucial, highlighting the importance of pitch motion as an important design factor.

scholarly journals Improving ensiling characteristics by adding lactic acid bacteria modifies in vitro digestibility and methane production of forage-sorghum mixture silage

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Chatchai Kaewpila ◽  
Pongsatorn Gunun ◽  
Piyawit Kesorn ◽  
Sayan Subepang ◽  
Suwit Thip-uten ◽  
...  
Keyword(s):  
Lactic Acid ◽  
Lactic Acid Bacteria ◽  
Nutritive Value ◽  
Gas Production ◽  
In Vitro Digestibility ◽  
Acid Fermentation ◽  
Design Factor ◽  
Forage Sorghum ◽  
Randomized Design

AbstractImproving the nutrition of livestock is an important aspect of global food production sustainability. This study verified whether lactic acid bacteria (LAB) inoculant could promote ensiling characteristics, nutritive value, and in vitro enteric methane (CH4) mitigation of forage sorghum (FS) mixture silage in attacking malnutrition in Zebu beef cattle. The FS at the soft dough stage, Cavalcade hay (CH), and cassava chip (CC) were obtained. The treatments were designed as a 4 × 2 factorial arrangement in a completely randomized design. Factor A was FS prepared without or with CH, CC, and CH + CC. Factor B was untreated or treated with Lactobacillus casei TH14. The results showed that all FS mixture silages preserved well with lower pH values below 4.0 and higher lactic acid contents above 56.4 g/kg dry matter (DM). Adding LAB boosted the lactic acid content of silages. After 24 h and 48 h of in vitro rumen incubation, the CC-treated silage increased in vitro DM digestibility (IVDMD) with increased total gas production and CH4 production. The LAB-treated silage increased IVDMD but decreased CH4 production. Thus, the addition of L. casei TH14 inoculant could improve lactic acid fermentation, in vitro digestibility, and CH4 mitigation in the FS mixture silages.

Behavioral engagement with mHealth for improved well-being among chronically ill patients: the role of human-related and app-related factors (Preprint)

2021 ◽  
Author(s):  
Freek Van Baelen ◽  
Melissa De Regge ◽  
Bart Larivière ◽  
Katrien Verleye ◽  
Sam Schelfout ◽  
...  
Keyword(s):  
Chronic Condition ◽  
Chronically Ill ◽  
Well Being ◽  
Behavioral Engagement ◽  
Related Factors ◽  
Design Factor ◽  
Mobile Health Applications ◽  
Chronically Ill Patients ◽  
The Relationship ◽  
Mhealth Apps

BACKGROUND Last decade has shown a considerable increase in the amount of mobile health applications (mHealth apps) in everyday life. These mHealth apps have the potential to significantly improve well-being for chronically ill patients. However, behavioral engagement with mHealth apps remains low. OBJECTIVE The aim of this study is to provide insight into the behavioral engagement of adults with chronic conditions with mHealth apps by investigating (1) how it is affected by human-related factors (here, physician motivation) and app-related factors (here, app integration) and (2) how it affects their well-being. Supplementary, this study considers the moderating effect of preference for traditional visits to the physician (habit) and experience in app use (app experience) by the patients. METHODS A scenario based experiment among patients with a chronic condition (n= 521) was carried out. A Bayesian SEM model with mediation and moderation analysis was conducted in MPlus. RESULTS Both physician motivation for mHealth app use and mHealth app integration have a positive effect on the behavioral engagement of chronically ill patients towards mHealth apps. Higher behavioral engagement positively influences the hedonic and eudaimonic well-being of chronically ill patients. App experience positively moderates the relationship between app integration and behavioral engagement. A patients’ habit with receiving traditional care does not moderate the relationship between physician motivation and behavioral engagement. CONCLUSIONS The human and design factor play a key role in behavioral engagement and well-being among patients with a chronic condition. During and after the development of a mHealth app, app integration and physician motivation should be a point of attention.

scholarly journals Shallow Substrates Support the Growth of Contrasting Plant Types Installed in Irrigated, Arid-Climate Green Roofs1

2017 ◽  
Vol 35 (4) ◽  
pp. 146-155
Author(s):  
Lauren Forrest ◽  
Rachel Gioannini ◽  
Dawn M. VanLeeuwen ◽  
Rolston St. Hilaire
Keyword(s):  
Root Length ◽  
Root Length Density ◽  
Dry Weight ◽  
Green Roofs ◽  
Greenhouse Experiment ◽  
Outdoor Environment ◽  
Arid Climate ◽  
Evaporative Demand ◽  
Design Factor ◽  
Substrate Depth

Abstract Extreme evaporative demand makes substrate depth a critical design factor in arid-climate green roofs. The objective of this study was to determine whether a shallow irrigated substrate could support the growth of hens and chicks (Sempervivum calcareum L.) and iceplant [Delosperma nubigenum (Hook.f.) L.Bolus] in an arid environment. First, an experiment was conducted in the greenhouse that established that plants survived in 10 cm (3.9 in), 15 cm (5.9 in), and 20 cm (7.9 in) substrate depths, which then lead to a second experiment in an outdoor environment. The substrate was heat-expanded clay:sand:worm castings (6:3:1, by volume) in a greenhouse experiment and heat-expanded clay:zeolite:worm castings (6:3:1, by volume) in an outdoor experiment. In the greenhouse experiment, deep root length density (RLD) was significantly greater in the 10 cm-deep (3.9 in) substrate, while outdoors, deep RLD was highest for plants grown in the 15 cm-deep (5.9 in) substrate. Outdoors, iceplant had significantly greater mean coverage and shoot dry weight than hens and chicks. Lack of significant differences in quality and coverage due to substrate depth, coupled with higher RLD in the 10 cm (3.9 in) and 15 cm (5.9 in) depths in both experiments provides evidence that shallow irrigated substrates support the growth of both taxa. Index words: iceplant, hens and chicks, plant coverage, root length density, quality, zeolite, heat expanded clay. Species used in this study: hens and chicks (Sempervivum calcareum L.); iceplant [Delosperma nubigenum (Hook.f.) L. Bolus].

scholarly journals Modification of Classical Horseshoe Spillways: Experimental Study and Design Optimization

2019 ◽  
Vol 5 (10) ◽  
pp. 2093-2109
Author(s):  
Vahid Hassanzadeh Vayghan ◽  
Ali Saber ◽  
Soroosh Mortazavian
Keyword(s):  
Hydraulic Jump ◽  
Design Parameters ◽  
Hydraulic Structures ◽  
Flow Conditions ◽  
Design Factor ◽  
Flow Passage ◽  
Water Head ◽  
Cubic Polynomial ◽  
Polynomial Models ◽  
Discharge Efficiency

Investigation of the hydraulic aspects of spillways is one of the important issues regarding hydraulic structures. This study presents a modified horseshoe spillway (MHS) constructed by adding a flow passage and an internal weir in the bed of a classical horseshoe spillway (CHS). This modification increased the discharge efficiency and eliminated the rooster-tail hydraulic jump in CHSs. Eighteen laboratory-scale MHSs in various geometric sizes, six various CHSs, and a rectangular weir of the same width were constructed and tested under the same flow conditions. Results showed that in terms of discharge efficiency and water head reduction, CHSs and MHSs were superior to the rectangular weir. Compared to CHSs, the increased discharge flowrate in MHSs due to the internal weirs could further reduce the water head and thus increased their overall efficiencies. Design parameters effecting spillways’ discharge efficiencies were investigated based on dimensional analysis. The internal to external weir length ratio in MHSs was found to be a key design factor. To determine the optimal geometric design of CHS and MHS models, cubic polynomial models considering dimensionless parameters and their interactions were fitted to the experimental results. The cubic models revealed that higher discharge efficiencies in MHSs tended to occur at relatively low water heads and high internal to external weir lengths ratios.

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