Miracle-dz/UniFAR-FTUs huggingface dataset:
Regional Algae Bloom: Natural Disaster Causes Economic Setback in Private Fishing Charter in Southwest Florida

In recent years, water eutrophication has become an environmental problem of general concern. In some drinking water sources, the proliferation of algae has a great impact on the operation of water plants and the quality of drinking water. At present, many scholars at home and abroad are studying the methods of algae monitoring and algae removal, and seek ways to solve the algae pollution, so as to improve the water quality of urban water supply and ensure the safety of water use for residents. In GB5749-2006, the national Ministry of health and the Standardization Administration stipulated that the index value of total microcystins was 0. Oolmg / L. Although this is an unconventional index, it reflects that the eutrophication of fresh water resources and the micro pollution of drinking water sources have become a global problem of great concern. Water eutrophication not only affects the basic life of human beings, but also has caused serious economic impact. Algal outbreaks and fish deaths caused by eutrophication in water bodies often result in economic losses to tourism, recreation, catch fisheries and aquaculture.
Constraining M ν with the bispectrum. Part II. The information content of the galaxy bispectrum monopole

Massive neutrinos suppress the growth of structure on small scales and leave an imprint on large-scale structure that can be measured to constrain their total mass, M ν. With standard analyses of two-point clustering statistics, M ν constraints are severely limited by parameter degeneracies. Ref. [1] demonstrated that the bispectrum, the next higher-order statistic, can break these degeneracies and dramatically improve constraints on M ν and other cosmological parameters. In this paper, we present the constraining power of the redshift-space galaxy bispectrum monopole, Bg 0. We construct the Molino suite of 75,000 mock galaxy catalogs from the Quijote N-body simulations using the halo occupation distribution (HOD) model, which provides a galaxy bias framework well-suited for simulation-based approaches. Using these mocks, we present Fisher matrix forecasts for {Ωm, Ωb, h, ns , σ8, M ν} and quantify, for the first time, the information content of the Bg 0 down to nonlinear scales. For k max = 0.5 h/Mpc, Bg 0 improves constraints on Ωm, Ωb, h, ns , σ8, and M ν by 2.8, 3.1, 3.8, 4.2, 4.2, and 4.6× over the power spectrum, after marginalizing over HOD parameters. Even with priors from Planck, Bg 0 improves all of the cosmological constraints by ≳ 2×. In fact, for Pg 0+Pg 2 and Bg 0 out to k max = 0.5 h/Mpc with Planck priors, we achieve a 1σ M ν constraint of 0.048 eV, which is tighter than the current best cosmological constraint. While effects such as survey geometry and assembly bias will have an impact, these constraints are derived for (1 h-1 Gpc)3, a substantially smaller volume than upcoming surveys. Therefore, we conclude that the galaxy bispectrum will significantly improve cosmological constraints for upcoming galaxy surveys — especially for M ν.
Towards a common goal for a sustainable tourism destination: Case study of Biak Numfor, Papua, Indonesia

This paper examines stakeholders’ perceptions of sustainability in Biak Numfor, Papua, Indonesia. The study reviews opinions of site-specific sustainability aspects and assesses their perceptions of sustainability against a common goal of the Global Sustainability Tourism Council (GSTC). Meanwhile, a tourism destination is aware and takes full account of sustainability tourism for its current and future thinking towards economic, social and environmental impact, the industry, the environment and host community, and addressing visitor needs. However, few structures of the criteria towards a common goal for GSTC destination criteria are still undermined. Qualitative research is carried out by performing a stakeholders’ Focus Group Discussion (FGD) in Biak Numfor, Papua. Systematic approaches and thematic analysis are conducted to reveal the four critical awareness of sustainability issues. In the long course, this awareness may lead to changes in tourism sustainable development preferences such as accessibility, infrastructures and destination management, and planning (destination promotion; inspirational leaders; and community awareness).
Retraction Retraction: Object Recognition in Images with Low- Resolution using Convolutional Neural Network (J. Phys.:

Object recognition is a technology in computer vision that finds objects in an image or video series and identifies them. Phenomenal results have been recorded in object recognition studies using deep neural networks. But it has generally been deduced that sufficient image resolution and object size are obtainable, which cannot be assured in practical uses. Recognition of objects in lower resolution images is difficult. To overcome the stated problem, a Convolutional Neural Network (CNN) model for identifying objects in lower resolution images is proposed in this paper. In object recognition datasets, this approach outperforms the high recognition accuracy. In convolutional neural network models, both convolution and max-pooling layers are typically stacked. In the proposed approach, the pooling layer was substituted with a convolutional layer with an expanded phase without loss of precision in image recognition. The All Convolutional Neural Network with trained weights for recognizing lower resolution images is deployed. Through the obtained results, it is verified that the proposed model has high efficiency and accuracy.
Transforming Growth Factor - Beta (TGFβ) stimulated isoform specific activation of Akt2 via Ras mediates Epithelial-Mesenchymal Transition (EMT)

TGF induces epithelial-mesenchymal transdifferentiation (EMT) accompanied by cellular differentiation and migration. EMT has emerged as a fundamental process governing embryonic development, adult tissue homeostasis and metastatic progression. Our lab had earlier identified a post-transcriptional pathway by which TGF modulates expression of EMT-specific proteins. It was shown that heterogeneous nuclear ribonucleoprotein E1 (hnRNP E1) binds a structural, 33 nucleotides (nt) TGF beta-activated translation (BAT) element in the 3’-UTR of disabled-2 (Dab2) and interleukin-like EMT inducer (ILEI) transcripts, and repress their translation. This inhibition is removed following hnRNP E1 phosphorylation by activated Akt2. We now show that specific activation of Akt2, and not Akt1, following TGF stimulation is Ras dependent and we provide evidence which suggest that Ras mediates a complex formation between activated TGFβ receptors and ShcA, which in turn potentiates the complex in order to specifically recruit Akt2, and not Akt1.
Practical investigating of STEM teaching competence of pre -service chemistry teachers in Vietnam

The Vietnam’s new general education curriculum is transferring from content orientation to students’ capacity and quality development orientation. STEM (is acronym words of Science, Technology, Engineering, and Mathematics) education contributes to the development of 21st century skills of students. In order to successfully implement STEM education, in addition to leaders, managers and programmers, teachers have an important role in directly building and organizing STEM education. And pre-service teachers need to be trained to deal with complexities of education. The purpose of this research is to assess the pre-service chemistry teachers? existing STEM teaching capacity in Vietnam. Research method was survey through a set of unstructured and structured questions, and participants of this research are 57 pre-service chemistry teachers (who are 3rd and 4th grade learners of 5 Universities of Education representing all three regions of Vietnam). Content analysis was used to analyze the data from unstructured questions while the data from structured questions were transformed into frequency, percentage and descriptive statistic analyze. The findings indicated that most of participants have conceptualized the aspects of STEM in accordance with a number of researches in the world. However, they were less capable in designing their teaching STEM and performing teaching STEM in the classroom, beside assessment abilities were not good and lack diversity. They also suggested that there should be a specific guide material on how to design and conduct STEM teaching. Therefore, the study also suggested measures to develop STEM teaching competences for pre - service chemistry teachers in Vietnam: 1) redesign the teacher training program to include STEM educational modules, 2) provide STEM teaching instruction modules from STEM fields in Chemistry, and 3) combine Blended Learning approach to enhance their ICT ability.
Fat, water and ash content in Chlorophyceae, Rhodophyceae and Phaeophyceae macroalgae at Sepanjang Beach, Yogyakarta, Indonesia

Communities in Sepanjang Beach have utilized the macroalgae as main ingredients in various special processed products. The objective of this study was to analyze the content of fat, water, and ash in Chlorophyceae, Rhodophyceae, and Phaeophyceae macroalgae at Sepanjang Beach, Yogyakarta, Indonesia to support optimization of macroalgae processed products. This research was conducted at Sepanjang Beach, Gunungkidul District, Yogyakarta, Indonesia in August 2020. A method of descriptive exploratory was used in this research. Analysis of fat content, water, and ash content was carried out on Ulva lactuta, Palmaria palmata, Sargassum crassifolium, Gelidium spinosum, Gelidiella acerosa, and Gracilaria verrucosa quantitatively using Soxhlet method for content of fat, the thermogravimetric method for content of water, and gravimetric method for content of ash. The results showed that the highest fat, water, and ash content was found in U. lactuta in the central of Sepanjang Beach 0.174%, S. crassifolium in the eastern 89.460%, and U. lactuta in the eastern 8.715% respectively.
Gambir catechins modulates amyloid-β concentration in cerebrospinal fluid of Alzheimer’s model rat

Neurodegeneration in Alzheimer’s disease has been reported as the consequences of amyloid-β accumulation in the brain resulted from oxidative stress. Gambir, which contains catechins as a potential antioxidant, is abundant in West Sumatra. This study aims to evaluate the effect of gambir catechins administration on amyloid-β concentration in cerebrospinal fluid [CSF] of the rats. An experimental study with a post-test only design was carried out on 12-week old female Sprague Dawley, an Alzheimer’s model rat. As many as 30 rats were divided into the control and treatment groups. Four of the six groups were treated with the catechins extract doses of 20 mg, 40 mg, 60 mg, and 100 mg per 200 g BW. Meanwhile, the other two groups were positive and negative control groups. After four weeks, the rats were sacrificed and the CSF was collected. Amyloid-β concentration measurement was using the ELISA method. The statistical analysis was using One-way ANOVA with posthoc test Tukey HSD. Treatment groups exhibited a linear decrease in amyloid-β concentration in all doses, particularly in CC3. The CC3-treated group showed the lowest amyloid-β concentration [13.325 ± 4.625 ng/ml], which is significantly lower [p < 0.05] when compared to the PC group [45.280 ± 7.590 ng/ml]. This result provides experimental evidence that gambir catechin reached its optimum neuroprotective effect on amyloid-β level in cerebrospinal fluid by 60 mg/200 g BW.
Effects of relay-planting several peanut rows on yield of two maize varieties at different row spacing

Intercropping maize with peanut has been reported to change the availability of some nutrients in the rhizosphere of the intercrops which resulted in different concentration of some nutrients in the above-ground parts of the intercrops compared with its monocrop. This study aimed to examine the effects of relay-planting several rows of peanut between rows of maize at different spacing on yield components of two maize varieties, by conducting an SSP-designed experiment testing three treatment factors, namely additive intercropping (I) maize with peanut as the main plots, maize varieties (V) and maize row spacing (S). The results indicated that variety differences had the most significant effects on the observation variables, followed by row spacing, and intercropping, but there were three-way and two-way interaction effects on green leaf number at 9 weeks old, showing that the highest green leaf number was on hybrid maize plants of 75 cm row spacing intercropped with three rows of peanut. On grain yield per plant, there was no significant effect of row spacing, but grain yield per m2 was highest under the lowest (60 cm) row spacing and intercropping with three rows of peanut, i.e. 673.34 g/m2 on waxy maize (463.7 g/m2 in monocrop), and 736.04 g/m2 on hybrid maize (656.3 g/m2 in monocrop), which indicates the possibilities to reduce row spacing under additive intercropping with peanut.
Multiplication of arabica “Solok Rajo” coffee through bio cellular technology

The extensification of Rajo coffee cultivation faces obstacles due to the limited quality of planting material. Biocellular technology can be used for the mass propagation of plants in a short time. The objective of this study was to develop an effective in vitro protocol for propagating Rajo coffee. The media used for in vitro coffee seed germination was MS media strength [0; ¼; ½; ¾; 1 MS [full]]. Subsequently, the explant was transferred to full MS media supplemented with BAP [0,0; 2,5; 5,0; 7,5; 10,0 mg l−1]. Callus induced from young leaves cultured on MS medium supplemented with 2,4-D [2,0; 3,0; 4,0 mg l−1] and BAP [0.0; 0.5; 1.0; 1.5 mg l−1]. From the initial experimental results obtained that seeds can be considered a good starting material for in vitro establishment in the propagation of Arabica coffee “Solok Rajo”. The ¼ MS medium gave more root, hypocotyls, and plantlet length, and full cotyledonary leaves expansion. The addition of 5.0 and 7.5 mg l−1 BAP was able to increase the number of shoots and shoot length. BAP and 2,4-D affected callus initiation and development of Rajo coffee explants, where all concentrations could induce callus, but 3,0 mg l−1 2,4-D was able to induce callus better and faster. There was no interaction between 2,4-D and BAP for callus induction and there was no effect between the addition of 2 mg l−1, 3 mg l−1, and 4 mg l−1 on callus induction. The addition of BAP affected the callus induction time and callus fresh weight. In general, callus formed has a friable structure with yellowish-white color.
The involvement of young entrepreneurs in halal food products in Kelantan

Young people are the future of every nation and an essential asset to the economics of country development. Currently, young entrepreneurs’ involvement in the halal food industry is increased due to Malaysia government policy providing incentives, continuing supports, and various strategies or programs to develop young entrepreneurs. The purposes of this research paper are to determine the level of involvement among young entrepreneurs towards halal labels and to investigate the relationship between attitude, social norms, and perceived behavior control and the involvement of young entrepreneurs in the halal food product in Kelantan. In this research, a survey was conducted, and the questionnaire was distributed using purposive sampling toward 40 entrepreneurs aged between 15 to 30 years old in halal food products in Kelantan. The data collected were then analyzed using descriptive analysis, normality test, and Pearson correlation analysis. The study found that young entrepreneurs’ high involvement level and a significant relationship between social norms and perceived behavior towards involvement in halal food product labeling in Kelantan.
Development of Learning Tools Using Remote IoT Labs with Blended Learning Method in The Department of Engineering Education

Learning is a process that involves educators, students, teaching materials, learning resources, learning media, and methods. The conventional method, whose main source of knowledge is only from educators, is considered to be less effective if it is the only source of knowledge transfer to students. The boring learning process, the media used in Digital Electronics courses is a simulator, the features presented in the simulator are less interesting. So it was appointed a research study on the development of the IoT Remote Lab learning tool with Blended Learning Digital Electronics Subjects in accordance with the Industrial Revolution era 4.0. This study aims to determine the stages and feasibility of developing the IoT Remote Lab learning tool with a valid, practical, and effective Blended Learning method in the Department of Electronics Education Faculty of Engineering Universitas Negeri Makassar (FT-UNM). The research method used by Research and Development (R&D) with the 4D development model (1), (2) planning, (3) development, and (4) distribution. The results of this study indicate that the Remote Lab IoT learning tool with the Blended Learning method has a very valid category to use. Got a response from students who said it was very practical in its use and the results of student test scores after implementation had increased. It was concluded that the data stated that the Remote Lab IoT learning device with the Blended Learning method that had been developed was declared valid/feasible to use as well as practical and efficient in its use.
Assessing Students’ Interest in Historical Learning Themes and Materials

This research aims to identify students’ interest in historical learning themes and materials. This study uses quantitative methods of descriptive analysis. The data collection techniques used are interviews and the dissemination of questionnaires. The sample in this study was 102 high school tenth graders in Bondowoso District. The results of this study showed that the historical themes that students were interested in were the theme of tracing early civilizations in the Indonesian Archipelago based on 72% latent interest indicators, 57% interest actualization, 57.5% Text-Based Interests, 44% Task-Based Interests, 55.5%. Knowledge-Based Interests and the historical material that students are interested in based on interest indicators consisting of 28% latent interest, namely historical material about getting to know ancient humans, actualization interest by 18.5% and Text-Based Interest of 16.5%, which is historical material about Hindu-Buddhist kingdoms, Task-Based Interest by 12% which is historical material on the development of Technology and Knowledge-Based Interests by 16.5% which is historical material about knowing ancient humans. The reason students choose a theme based on the results of the interview because it is called easy to understand and enjoyable to learn.
KBM approach to electron acoustic envelope soliton in viscous astrophysical plasma

Modulation instability (MI) of envelope soliton is studied in an unmagnetized viscous plasma. Using Krylov-Bogoliubov Mitropolsky (KBM) method, the nonlinear Schrödinger equation (NLSE) is obtained, and the growth rate of modulationally unstable electron acoustic wave in such plasma is discussed. The solution of the electron-acoustic envelope-solitons is obtained from the Nonlinear Schrödinger equation. The hypothetical outcomes have been examined mathematically for various parameters of plasma, and the outcomes are introduced graphically. This theoretical investigation can be experienced experimentally with certain modification of the experiment had been performed by Ikezawa and Nakamura []. Our outcomes might be material for the investigation of nonlinear wave measures in relativistic thick plasmas of astrophysical articles, to be specific, in dwarfs and neutron stars.
Vision-based bicycle and motorcycle detection using a YOLO-based Network

This paper describes a system that can distinguish between visually-similar objects, specifically bicycles and motorcycles, successfully from the vantage point of traffic surveillance cameras. The You Only Look Once (YOLO) is used as the main framework in this research due to its speed performance among various machine learning models and methods evaluated. We built a dataset consisting of motorcycle and bicycle images from different CCTV footage for this project. CCTV footage may vary on the angle of view from the object, image resolution, and ambient environment settings. Using this dataset, we trained YOLOv3-based models, and their performances were compared to the vanilla version of YOLOv3 and other pre-trained models. Four (4) models were trained and compared; the best-performing model is shown to be associated with a dataset with properly labeled data (i.e., marking every instance of the object of interest) and having the most number of instances in the training and testing set.Introduction.
Schoology based applied mathematics blended learning model to improve the students’ problem-solving ability

This study aims to determine the feasibility of a model of blended learning applied mathematics using schoology for vocational education using the 4D model development method that includes the four Ds steps, namely Define, Design, Develop, and Disseminate. The research was conducted at the Politeknik Negeri Bali where the data were collected using a validation sheet and student response questionnaire sheet. Data were analyzed descriptively. As a result, the design of applied mathematics blended learning using schoology achieved: feasibility level of 84.91% (feasible), practicality 78.84% (practical), and the compliance was 88.02% (very helpful). This implies that blended learning applied mathematics is very appropriate to be used as a model of learning in vocational education. The design development can be continued to the stage of effectiveness testing, evaluation and dissemination.
Image Inpainting of Multi-Spectral Image with Laser Lines Based on Generative Adversarial Network

This paper presents a Generative Adversarial Network based on image in-painting, which can reconstruct the shape using a multi-spectral image with a laser line. One of the difficulties in multi-spectral photometric stereo is to extract the laser line, because the required illumination for multi-spectral photometric stereo, e.g. the red, green, and blue lights, may pollute the colour of the laser line. In this paper, we presents a method, which uses the Generative Adversarial Network based on image in-painting, to separate a multi-spectral image with a laser line into a clean laser image and an uncorrupted multi-spectral image without the laser line, to reconstruct the shape using a multi-spectral image with a laser line. To make the proposed method applicable to real-world objects, a rendered image dataset obtained using the rendering models in ShapeNet has been used for training the network, and the evaluation shows the superiority of the proposed approach over several previous methods, on both rendered images and real-world images.