The critical minerals industries in Indonesia may pose possible environmental and human health risks due to the release of pollutants into soil, water, and air, as well as the use of materials and energy. This study i...
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In recent years, initiatives and the resulting application of precision education have been applied with increasing frequency in Taiwan; the accompanying discourse has focused on identifying potential applications for...
In recent years, initiatives and the resulting application of precision education have been applied with increasing frequency in Taiwan; the accompanying discourse has focused on identifying potential applications for artificial intelligence and how to use learning analytics to improve teaching quality and learning outcomes. This study used the established dropout risk prediction model to improve student learning effectiveness. The model was based on the academic portfolios of past students and built with statistical learning and deep learning methods. This study used this model to predict the dropout risk of 2205 freshmen enrolled in the fall semester of 2018 (graduated in June 2022) in the field of sustainable education. A total of 176 students with a dropout risk of more than 20% were considered high-risk students. After tracking and the appropriate guidance, the dropout risk of 91 students fell from > 20% to < 20%. To discuss the results from the perspective of gender and financial disadvantages, the improvement rate of the dropout risk for male students was 10.2% better than that of female students at 2.9%. The improvement rate in dropout risk for students with disadvantageous financial situations was as high as 12.0%, surpassing the 5.9% rate among general students. Overall, the dropout rate in the second year of the 2018 freshman cohort was lower than that of the 2016 and 2017 freshman cohorts. A predictive model established by statistical learning and deep learning methods was used as a tool to promote precision education, accurately and efficiently identifying students who are having difficulty learning, as well as leading to a better understanding of AI (artificial intelligence) in smart learning for sustainable education.
In a wireless sensor network context, a wireless sensor network (WSN) is a collection of sensor nodes made up of small nodes with minimal energy resources and powered solely by batteries. Sensor nodes that collaborate...
In a wireless sensor network context, a wireless sensor network (WSN) is a collection of sensor nodes made up of small nodes with minimal energy resources and powered solely by batteries. Sensor nodes that collaborate in large-scale area networks with limited energy and unsupervised situations, as well as poor security. Sensor node communication becomes vulnerable, and attackers use various methods to gather information about the location of the transmission packet’s originating route. The WSN research community has taken notice of this issue. To protect and prevent attackers from finding the way of the source of packet delivery, the Location Source Privacy Scheme (LSP) was implemented. The LSP system employs a variety of routing mechanisms to shield the location of the route source transmitting packets from various attacks. In addition, because WSN energy sources are limited, the LSP routing approach is employed to reduce energy consumption. The resulting assessment of current research on LSP routing strategies as route security currently utilized for WSNs in this paper and some future perspectives that are still being developed.
In this study, a microwave-assisted extraction (MAE) technique was used to extract the essential oil from eucalyptus leaves. The MAE process was carried out to assess the effect of microwaves on the production of bioa...
In this study, a microwave-assisted extraction (MAE) technique was used to extract the essential oil from eucalyptus leaves. The MAE process was carried out to assess the effect of microwaves on the production of bioactive components and properties of eucalyptus leaf essential oil on several parameters, including mass of eucalyptus leaves (20, 30, 40 grams), microwave power (180, 300, 450, 600 watts). and extraction time of 60 minutes. The highest yield of eucalyptus essential oil was obtained at 1.92% at the process parameters of 30 g of eucalyptus leaves, 450 watts of microwave power, and 30 minutes of extraction time. The ATR-FTIR spectrum of eucalyptus leaf oil showed that alkane compounds were characterized by strong C-H bonds. GC-MS analysis showed that the highest content of the product was 70.63% cineol (bioactive content). The results of the analysis of physical properties by measuring the specific gravity of the oil is 0.903 and the determination of the refractive index is 1.453 nD at room temperature of 30°C. Its characterization showed in the range with SNI standard.
Strain is closely related to the amount of load that can be held by an object so that it experiences deflection. A change in the size or shape of an object in holding a load causing stress is called strain. Strain and...
Strain is closely related to the amount of load that can be held by an object so that it experiences deflection. A change in the size or shape of an object in holding a load causing stress is called strain. Strain and stress are forces that act on an object due to loads. The distribution analysis of the strain is needed to determine the phenomena that occur in an object due to loads to facilitate the analysis of wire mesh placement modeling. This research aimed to analyze the strain and deflection values that occur due to the loading of wire mesh layer on hot asphalt mixture. Analysis of strain and deflection values which are parameters of flexural resistance was carried out using ETABS software version 17.0.1. ETABS is one of the software used to solve structural problems related to the finite element method. Based on the research results, it was found that the modeling of wire mesh layering affects the flexural resistance value, strain, and deflection that occurred. The value of strain is inversely proportional to the value of the flexural resistance and is directly proportional to the deflection. The strain that occurs from the results of the study is between 0.0313 mm/mm to 0.038 mm/mm and The amount of deflection that occurs due to loading ranges from 8 to 9.5 mm. The best modeling is obtained on a hot asphalt mixture by laying wire mesh 30 mm from the surface of the test object with the lowest strain and able to withstand a maximum load of 291.85 KN.
In diffraction experiments, natural gratings often create uncommon diffraction patterns compared with those resulting from manufactured gratings. This study analyzed a unique diffraction pattern obtained by a grating ...
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A modified chitosan-polyvinyl alcohol (PVA) hydrogel was developed by incorporating Fe3O4 nanoparticles. Four chitosan-Fe3O4 (ChFe) hydrogel types were developed based on chitosan:Fe3O4 ratio as 1:0, 1:1, 1:0.5 and 1:...
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A modified chitosan-polyvinyl alcohol (PVA) hydrogel was developed by incorporating Fe3O4 nanoparticles. Four chitosan-Fe3O4 (ChFe) hydrogel types were developed based on chitosan:Fe3O4 ratio as 1:0, 1:1, 1:0.5 and 1:0.25. Batch sorption experiments were conducted with different pH, dosage, kinetics, and isotherms. The exhausted ChFe hydrogels were evaluated for their regeneration and reuse capability with different acids and bases. The best hydrogel for arsenic (V) [As(V)] adsorption was 1:0.5 ratio ChFe hydrogel. The highest As(V) adsorption (89 %) was at pH 4 and the adsorption capacity gradually decreased with increasing solution pH. Within the pH 4–6 range, the hydrogel surface became positively charged due to protonation of –NH2 and –OH groups in the polymer chain and the positive surface attracted H2AsO4− and HAsO42− oxyanions. The experimental kinetic data was well-fitted to the Elovich model (R2 of 0.99) while the Freundlich isotherm model best described the isotherm data (R2 of 0.97). The models predicted chemisorption mechanisms on ChFe hydrogel composites. Electrostatic attractions with –NH3+ and –OH2+, ligand-exchange inner-sphere complexes formation and bidentate corner-sharing (2C) and bidentate edge-sharing (2E) trimetric surface complexes formation have been proposed as the adsorption mechanism of As(V) into ChFe hydrogel. 0.1 M CH3COOH showed the best regeneration pattern with 75, 96, 81, 53 and 43 % of 1st, 2nd, 3rd, 4th and 5th adsorption respectively. Because of this re-usable capability, the As(V) adsorption capacity is not a single value from one adsorption cycle, but a cumulative value of several adsorption cycles and it was 17.39 mg/g for five adsorption cycles. Open for regeneration and reuse, no post-treatment is needed for adsorbent-water separation, allow applications of the ChFe hydrogel composite in a wide range of applications such as water filtration and purification systems. The modification with ChFe further expands the application
Metformin is an antidiabetic drug that can be obtained easily in pharmacies/on the market, because it is traded freely, so people can easily buy and consume it. Ferrous metal, aluminum metal, and zinc metals are metal...
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Oral squamous cell carcinoma (OSCC), which accounts for 90% of all oral cancers, has become a public health crisis worldwide. despite advances in therapeutic interventions, the prognosis remains poor for advanced-stag...
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The rotation of a ship’s propeller can accelerate the water flow around it,which puts pressure on seabed *** pressure on the seabed can significantly trigger erosion and sedimentation of coastal *** the impact that c...
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The rotation of a ship’s propeller can accelerate the water flow around it,which puts pressure on seabed *** pressure on the seabed can significantly trigger erosion and sedimentation of coastal *** the impact that can be caused,the ship’s propeller rotation limit needs to be determined to avoid damage to the aquatic *** research determines the threshold of ship propeller rotation based on the water flow velocity *** has been carried out at the Hydrodynamics Laboratory on several variations of propeller rotation R_(rmp)(r/min)and water depth using empirical approaches,numerical simulations,and scale model *** based on general standard criteria for erosion and sedimentation shows that a propeller with a diameter(D_(p))of 1.5 m is safe for propeller rotation at 25 r/min at all water ***,the propeller rotation of 75 r/min is safe for a distance between the propeller axis and the bottom of the water equal to D_(p).Meanwhile,rotation at 120 r/min is safe at a minimum distance of 1.5 D_(p),and 230 r/min is safe for a minimum distance of 2.0 D_(p).The propeller rotation threshold criteria are essential to determining the new under-keel clearance for environmentally friendly ship *** values vary based on seabed particle type and water depth.
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