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<title>SDG 07 - Affordable and Clean Energy - WVSU's Contributions to UN Sustainable Development Goals</title>
<link href="https://hdl.handle.net/20.500.14353/1058" rel="alternate"/>
<subtitle/>
<id>https://hdl.handle.net/20.500.14353/1058</id>
<updated>2026-07-15T05:21:34Z</updated>
<dc:date>2026-07-15T05:21:34Z</dc:date>
<entry>
<title>Marine sediment-derived Streptomyces strain produces angucycline antibiotics against multidrug-resistant Staphylococcus aureus harboring SCCmec type 1 gene</title>
<link href="https://hdl.handle.net/20.500.14353/375" rel="alternate"/>
<author>
<name>Sabido, Edna M.</name>
</author>
<author>
<name>Tenebro, Chuckcris M.</name>
</author>
<author>
<name>Suarez, Angelica Faith L.</name>
</author>
<author>
<name>Ong, Sarah Diane C.</name>
</author>
<author>
<name>Trono, Dana Joanne Von L.</name>
</author>
<author>
<name>Amago, Diana S.</name>
</author>
<author>
<name>Evangelista, Jose E.  Jr</name>
</author>
<author>
<name>Reynoso, Ann Marielle Q.</name>
</author>
<author>
<name>Villalobos, Ivy Grace M.</name>
</author>
<author>
<name>Alit, Luigi Dan D.</name>
</author>
<author>
<name>Surigao, Cherryl F.</name>
</author>
<author>
<name>Villanueva, Christelle A.</name>
</author>
<author>
<name>Saludes, Jonel P.</name>
</author>
<author>
<name>Dalisay, Doralyn S.</name>
</author>
<id>https://hdl.handle.net/20.500.14353/375</id>
<updated>2024-05-07T10:00:57Z</updated>
<published>2020-09-23T00:00:00Z</published>
<summary type="text">Marine sediment-derived Streptomyces strain produces angucycline antibiotics against multidrug-resistant Staphylococcus aureus harboring SCCmec type 1 gene
Sabido, Edna M.; Tenebro, Chuckcris M.; Suarez, Angelica Faith L.; Ong, Sarah Diane C.; Trono, Dana Joanne Von L.; Amago, Diana S.; Evangelista, Jose E.  Jr; Reynoso, Ann Marielle Q.; Villalobos, Ivy Grace M.; Alit, Luigi Dan D.; Surigao, Cherryl F.; Villanueva, Christelle A.; Saludes, Jonel P.; Dalisay, Doralyn S.
The Philippine archipelago is geographically positioned in the tropics with rich areas of marine biodiversity. Its marine sediments harbor actinomycetes that exhibit antibacterial activity. Screening of actinomycetes isolated from marine sediments collected near the coast of Islas de Gigantes, Iloilo showed one isolate that exhibited high activity against the multidrug-resistant Staphylococcus aureus (MRSA) strain carrying the Staphylococcal Cassette Chromosome mec (SCCmec) type 1 gene, a biomarker for drug resistance. The isolate was identified as Streptomyces sp. strain DSD011 based on its 16s rRNA and protein-coding genes (atpD, recA, rpoB, and trpB) sequences, and was found to be a new species of salt-tolerant marine Streptomyces. Further, the strain harbors both non-ribosomal peptide synthetase (NRPS) and type II polyketide synthase (PKS) in its genome. The targeted chromatographic isolation and chemical investigations by Liquid Chromatography Mass Spectrometry-Time of Flight (LCMS-TOF), tandem mass spectrometry (MS/MS), and Global Natural Product Social molecular networking (GNPS) of the antibiotics produced by the strain afforded the two polycyclic aromatic polyketide angucycline glycosides, fridamycin A (1) and fridamycin D (2), which are products of type II PKS biosynthesis. Compounds 1 and 2 displayed antibacterial activity against MRSA with minimum inhibitory concentration (MIC) of 500 &amp;mu;g/mL and 62.5 &amp;mu;g/mL, respectively. These results suggest that the underexplored marine sediments near the coast of Islas de Gigantes, Iloilo offer access to undiscovered Streptomyces species that are invaluable sources of antibiotic leads.
</summary>
<dc:date>2020-09-23T00:00:00Z</dc:date>
</entry>
<entry>
<title>Solar autonomous vehicle with enhanced charging mechanism based on regression algorithm for agricultural application</title>
<link href="https://hdl.handle.net/20.500.14353/618" rel="alternate"/>
<author>
<name>Subong, Paul Marlou C.</name>
</author>
<id>https://hdl.handle.net/20.500.14353/618</id>
<updated>2024-09-13T08:01:32Z</updated>
<published>2018-10-01T00:00:00Z</published>
<summary type="text">Solar autonomous vehicle with enhanced charging mechanism based on regression algorithm for agricultural application
Subong, Paul Marlou C.
Factors like sunlight, current drawn and voltage were considered as triggers in the ability to efficiently charge storage batteries and in line with the type of charging algorithm to be used either Pulse Width Modulation (PWM) or Maximum Power Point Tracking (MPPT) techniques. Thus, these provide ways of choosing appropriate algorithm for optimized charging in a given state of charge of the batteries especially for solar vehicle where it is usually changing positions; thus affect charging capabilities. Solar controllers functions differently such as the MPPT and the PWM solar controllers, which current drawn from the PV cells to the voltage storage to the batteries. Research and tests were conducted which solar controller to be use in such conditions. The researcher used Regression Algorithm to determine which of the two would charge the batteries better and optimally operates the mechanism and prolongs the battery life in such weather conditions. This study brought and modified a full scale electric motorized vehicle. Aside from mechanized machineries, the system can also be incorporated to some other systems that uses solar power.
</summary>
<dc:date>2018-10-01T00:00:00Z</dc:date>
</entry>
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