SEAN: Image Synthesis with Semantic Region-Adaptive Normalization

We propose semantic region-adaptive normalization (SEAN), a simple but effective building block for Generative Adversarial Networks conditioned on segmentation masks that describe the semantic regions in the desired output image. Using SEAN normalization, we can build a network architecture that can control the style of each semantic region individually, e.g., we can specify one style reference image per region. SEAN is better suited to encode, transfer, and synthesize style than the best previous method in terms of reconstruction quality, variability, and visual quality. We evaluate SEAN on multiple datasets and report better quantitative metrics (e.g. FID, PSNR) than the current state of the art. SEAN also pushes the frontier of interactive image editing. We can interactively edit images by changing segmentation masks or the style for any given region. We can also interpolate styles from two reference images per region.Comment: Accepted as a CVPR 2020 oral paper. The interactive demo is available at https://youtu.be/0Vbj9xFgoU

Text analysis of user-generated contents for health-care applications: case study on smoking status classification

Text mining techniques have demonstrated a potential to unlock significant patient health information from unstructured text. However, most of the published work has been done using clinical reports, which are difficult to access due to patient confidentiality. In this paper, we present an investigation of text analysis for smoking status classification from User-Generated Contents (UGC), such as online forum discussions. UGC are more widely available, compared to clinical reports. Based on analyzing the properties of UGC, we propose the use of Linguistic Inquiry Word Count (LIWC) an approach being used for the first time for such a health-related task. We also explore various factors that affect the classification performance. The experimental results and evaluation indicate that the forum classification performs well with the proposed features. It has achieved an accuracy of up to 75% for smoking status prediction. Furthermore, the utilized features set is compact (88 features only) and independent of the dataset size

Solusi Numerik Model Umum Epidemik Susceptible, Infected, Recovered (SIR) Dengan Menggunakan Metode Modified Milne-Simpson

Model Epidemik Susceptible, Infected, Recovered (SIR) merupakan salah satu metode yang paling banyak digunakan untuk memodelkan penyebaran penyakit. Model ini biasa digunakan untuk simulasi dan ptediksi jumlah kasus penyakit tertentu. Dalam artikel ini penulis melakukan simulasi dan mencari solusi numerik model umum epidemik SIR dengan menggunakan MMetode Modified Milne Simpson yang dipadukan dengan metode Runge Kutta Orde 4. Metode ini merupakan salah satu metode prediktor korektor yang biasa digunakan untuk mencari solusi numerik persamaan diferensial. Dengan menggunakan parameter miu=0,1;lamda=0,0098; gamma=0,5 diperoleh r0=0,016333<1. Kurva kelas Infected menuju nol dan setimbang dititik nol. Hal ini menandakan, dengan pemilihan parameter seperti itu, kelas Infected akan menghilang dari populasi. Berdasarkan hasil simulasi, dapat disipulkan bahwa metode Milne Simpson layak digunakan untuk menentukan solusi numerik model umum epidemik SIR

Bacillus Thuringiensis Var. Aizawai HD-137 as a Potential Agent for Biological Control

Four strains of Bacillus thuringiensis were screened for their chitinolytic activity on colloidal chitin. B. thuringiensis var. aizawai HD-137 with the GenBank accession number HM173355 showed the highest chitinase activity, which was recorded after 2 days of incubation. The optimum condition for high chitinase production was Nutrient Yeast extract, Salt Medium, NYSM, with 0.2% colloidal chitin, two days of incubation, pH 6 and 30°C. The novel strain B. thuringiensis var. aizawai HD-137 is also considered as a powerful phytopathogenic control agent in which it showed inhibition of the mycelial growth of some phytopathogenic fungi, Alternaria solani, Rhizopus B1 and B2, Fusarium solani and Aspergillus flavus. The clear zones of mycelial inhibition ranged from 12 to 19mm. The partial nucleotides sequence of chitinase gene from B. thuringiensis var. aizawai HD-137 showed similarities to the chitinase producing bacteria in the GenBank, and it was more related to B. thuringiensis (AB699714, GQ921840 and GQ921842) and B. ehimensis chi60 (AB110081). It is obvious that the B. thuringiensis var. aizawai HD-137 is considered as a significant biocontrol agent against phytopathogenic fungi

Leadership development and sustainable leadership among TVET student

Leadership has become a key component of an organization, management and administration of educational organizations and systems, and this development is reflected in both academic and educational policy statements throughout the English-speaking countries and world over. Governments are investing substantial sums in leadership development because they believe that it will produce better leaders and more effective school system. Individuals are also contributing their own professional development because they think that it will enhance their career prospects and make them better leaders. Without leadership, things will be very difficult and we would have not been here today. Technical and vocational education is one of the organizations that have been enjoying leadership of different types. The importance of leadership in technical and vocational education cannot be overemphasizing, because without proper leadership in TVET programs, the goals which are to prepare people to be self-reliance will not be possible. Therefore, the need for good and perfect leadership has become imperative in TVET development. Effective school leadership has become a dominant theme in contemporary educational reform. Effective leaders are needed to sustain innovation and are the heart of capacity building for school improvement most especially in technical and vocational education and training (TVET) programs that need sustainability for its development

Evaluation of Genetic Diversity and Heritability of Some Rapeseed (Brassica Napus) Genotypes Using Agronomical and Molecular Traits

High level of heritability and variability were estimated for all traits among genotypes. The genetic similarity of nine genotypes Brassica napus was estimated by random amplified polymorphic DNA (RAPD), which ranged from 69% to 94%. The phylogenetic tree resulted in two different clusters; the first including two genotypes which also showed high similarity in agronomic traits and the second included the rest of the genotypes. The genetic diversity was discussed in relation to molecular and agronomical traits. High and positive correlation were recorded for all traits. The high coupled of heritability and variability is considered as a powerful source for the selection of donors in the breeding program, where the genetic gain depends on the availability of genetic variation and high heritability