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Center for Sustainable Development – Batangas State University TNEU

A 2.71 fJ/conversion-step 10-bit 50 MSPS split-capacitor array SAR ADC for FOG systems

This investigation demonstrates a 10-bit SAR-ADC with low power dissipation per conversion step at 50 MS/s sampling rate. The proposed ADC is featured with the split-capacitance array by using unity-gain amplifiers and designed for fibre optic gyroscope (FOG) systems. The buffers based on the unity-gain amplifiers replace the bridge capacitors of the split-capacitance array in...

Community Stakeholder’s Knowledge and Awareness of the Ecological and Socio-Economic uses of ManGroves in Calatagan, Batangas, Philippines

Mangrove forests are a complex assemblage of flora that plays significant roles in the sustainability of human and environmental well-being for numerous reasons. However, a lot of mangrove forests have been converted for other purposes and uses in the past years. Limited knowledge about unsustainable aquaculture, coastal infrastructure, urban development, pollution, and overexploitation of mangrove...

A comparative performance of breast cancer classification using hyper-parameterized machine learning models

Breast cancer is the second most common cancer and has the second-highest mortality rate in women among all cancer types. Accurate cancer diagnosis plays a great part in breast cancer treatment. The application of machine learning methods in cancer classification has grown popular and has provided an accurate classification of malignant (cancerous) and benign (non-cancerous)...

Fusing compressed deep ConvNets with a self-normalizing residual block and alpha dropout for a cost-efficient classification and diagnosis of gastrointestinal tract diseases

The challenging task of diagnosing gastrointestinal (GI) tracts recently became a popular research topic, where most researchers performed extraordinary feats using numerous deep learning (DL) and computer vision techniques to achieve state-of-the-art (SOTA) diagnostic performance based on accuracy. However, most proposed methods relied on combining complex computational methods and algorithms, causing a significant increase in...

Career Track Prediction using Deep Learning Model Based on Discrete Series of Quantitative Classification

In this paper, a career track recommender system was proposed using Deep Neural Network model. This study aims to assist guidance counselors in guiding their students in the selection of a suitable career track. It is because a lot of Junior High school students experienced track uncertainty and there are instances of shifting to another...

Acquired Communicative Skills of Graduates: Input to Designing Language Instructional Portfolio

Language acquisition takes a long process as it requires initiatives upon having set good attitudes and positive learning behavior. It is said that learning the language particularly English would not be automatic or innate, even born native speakers should have to learn the basic rules through varied skills and strategies to be communicative competent. This...

The andrographolide content and biological activities of the ethanolic leaf extract of andrographis paniculata (Burm. f.) Ness

Andrographolide is a crystalline diterpene lactone present in Andrographis paniculata (AP) and considered as the most active and important secondary metabolite component of the said plant. Few reports are available regarding the biological activities of the AP plant extract. In this study andrographolide content of ethanolic extracts of different AP plant parts was determined using...

eS2MART Teaching and learning material in chemistry: Enhancing spatial skills thru augmented reality technology

This study developed a teaching and learning material (TLM) in chemistry entitled eS2MART TLM with integrated augmented reality (AR) technology and assessed its effect on students’ learning gains in terms of spatial skills and students’ learning experience on the use of augmented reality as a tool in understanding atomic theory, chemical bonding and molecular structure....

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