This paper uses ANSYS Workbench (a finite element analysis software) to simulate BGA ceramic packing. The author models fixture, ceramic and metal steel. Then different thickness papers are laid on the BGA product. By random vibration analysis, the natural frequency and mode of the sample are obtained. According the results, the author discusses the relationship between different thickness papers and PSD-frequency curve. It provides a benefit instruction for the design of BGA packing.

In 2015, a sudden landslide caused the failure of one of the pillars supporting the southern lanes of the Skjeggestad Bridge near Mofjellbekken on Expressway E18. The transportation corridor was closed to traffic for 17 months. To investigate the cause of the failure, an assessment of slope stability is necessary. Usually, limit equilibrium analysis of the middle two-dimensional (2D) cross-section is modelled. The Skjeggestad landslide geometry was not close to a 2D case, and three-dimensional (3D) modelling is more appropriate to analyse the slope. The paper calculates the stability of the slope that failed and compares the results of 3D finite element analyses with classical limit equilibrium and 2D finite element analyses. The analyses were run in the Novapoint GeoSuite Stability software. The soil parameters, including their statistical values, were obtained with the GeoSuite Soil Data Interpretation (SDI) module. A companion paper at this conference analyses the pillar neighbouring the landslide with the module GeoSuite Piles. The paper illustrates the importance of 3D effects in a stability analysis. The results of the analyses also illustrate the need to include appropriate consideration of any strain-softening and spatial variation of soil properties.

Slow growth rate of tissue-cultured banana seedling's performance and high post-transplanting mortality rate are commonly due to low rate mineral content in the soil, climate change and soil-borne disease. This study aimed to evaluate the effects of potassium silicate (K 2 SiO 3 ) on growth, physio-biochemical changes on Berangan banana seedlings grown under tropical climate conditions. The experiment was conducted under a rain shelter and all treatments were arranged in a randomized complete block (RCBD) design. The plants were soil drenched with K 2 SiO 3 at constant 0.0901 M by 25 mL/plant after two weeks of transplanting with different frequencies application: 0-day interval (DI) served as control, 7 DI (12 × ), 15 DI (6 × ) and 30 DI (3 × ) throughout three months experimental period. Results showed that K 2 SiO 3 (13% SiO 2 , 20% K 2 O) applied on healthy banana seedlings at 15 days interval significantly improved morphological growth trait (plant height, pseudo-stem diameter size, total leaf area, root length, and dry matter biomass) and physiological traits characters, but reduced proline and MDA content in plant tissues of banana. Hence, the results confirmed that each banana seedlings that received K 2 SiO 3 at optimum frequency rate (15DI) had successfully enhanced the growth performance with better quality of Berangan banana seedlings at commercial-scale production.

To finding about the best, simple, cheapest and legal of elearning software which was forced by Corona. Before Covid-19 Pandemic, many people used many various kind of online learning (elearning) software, both proprietary software and free software. But these are nothing effect. Since Covid-19 Pandemic happen big economic crisis in the world, meaning many rich people become poor because lost of job, bankruptcy because close of companies and lock down to avoid spreaded of this desease. Because of that, this was needed focus on finding or optimalizing of free elearning software so can be using on all the world in Covid-19 Pandemic. There were main software : proprietary or close and free softwares. Using free software meaning was can be most cheapest using in the world. The meaning of free software were : the first was free of the charge. The second was free to download and using. The other benefit would not breaking copyright and avoid using stolen software, which was latest very much to using in globalization era, would not be cared. This research used a descriptive study with qualitative approach to explore teachers' perceptions in optimizing elearning software in covid-19 era. Participants of the study were 1 principal and 6 teachers. Method of data collection was observations, interviews, documents. Data extraction and assessment of quality. Three themes emerged were: [1] Many difficulties in using WhatsApp, [2] Lack of funding and internet network, [3] Recommendations in using Moodle elearning. The Moodle elearning software is very common using the world because the simplest, best and free to download. Lately, many provider opened free hosting, direct to made as simple as blog made in Moodle. Findings suggested that choice to free elearning software because more accordance with Covid-19 situation, world crisis economy happen and to improve online learning especially in kindergarten level which most little attention in Covid-19 Pandemic.

In combination with the advantages of steel reinforced concrete columns, high strength and high performance concrete and precast assembled structures, a new type of partially precast assembled steel reinforced concrete columns (SRHCC) was proposed in this paper. In order to study its post-fire axial compression performance, the finite element analysis software ABAQUS was used to simulate its temperature field under standard fire based on experiments. The results show that the core temperature of the specimen increases with the increase of the thickness of the section steel protective layer and decreases with the increase of the firing time. On this basis, the limit equilibrium theory was used to propose the formula for calculating the residual carrying capacity of SRHCC after fire. The calculated results were close to the test results and tended to be safe.

The physiochemical characteristics include: density, solubility, viscosity, molecular weight, degree of deacetylation and functional properties like fat and water binding capacity were studied for chitosan that prepared from chitin of Agaricus bisporus mushroom, the chitosan prepared by treatment of chitin with 47% alkaline solution at 60°C remove 4 hour −1 . The yield of chitin extract from chitosan showed that the chitin extraction rate was 16% based on the dry weight of the fungus. Chitosan, which was produced in this study, was diagnosed by Fourier Transform Infrared Spectrophotometer (FTIR) method. The degree of deacetylation (DD%) of the chitosan produced from the fungus it was 71.5% chitosan showed viscosity of 5.5 centipoise the viscosity has been estimated when chitosan dissolved in 1% acetic acid solution. The molecular weight of the fungus chitosan was 604,610 Dalton. The chitosan was characterized by high solubility (72%) in 1% acetic acid solution and showed high water binding capacity and fat binding capacity were 674%, 257% respectively of the fungal chitosan.