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<title>SDG 15 - Life on Land - WVSU's Contributions to UN Sustainable Development Goals</title>
<link href="https://hdl.handle.net/20.500.14353/1066" rel="alternate"/>
<subtitle/>
<id>https://hdl.handle.net/20.500.14353/1066</id>
<updated>2026-07-15T05:21:32Z</updated>
<dc:date>2026-07-15T05:21:32Z</dc:date>
<entry>
<title>Realities of upland communities: Tales of culture and survival</title>
<link href="https://hdl.handle.net/20.500.14353/998" rel="alternate"/>
<author>
<name>Jabor, Rodgen Marginado</name>
</author>
<author>
<name>Pendon, Guiller P.</name>
</author>
<id>https://hdl.handle.net/20.500.14353/998</id>
<updated>2026-03-02T03:00:09Z</updated>
<published>2025-08-21T00:00:00Z</published>
<summary type="text">Realities of upland communities: Tales of culture and survival
Jabor, Rodgen Marginado; Pendon, Guiller P.
Purpose The purpose of this ethnographic study was to explore and gain a deeper understanding of the culture of upland communities belonging to Indigenous Peoples (IPs) and Indigenous Cultural Communities (ICCs) residing in the upland regions of the Philippines. Design/methodology/approach Fourteen IPs/ICCs aged 50 years and above participated in the study. Data collection methods included observation, focus group discussions and document analysis. The data were analyzed thematically. Findings The findings reveal that the IPs/ICCs speak a unique homegrown language called Ligbok and maintain strong spiritual beliefs centered on the supernatural. The spirit of Bayanihan is deeply ingrained in their social practices, emphasizing communal cooperation and mutual aid. They follow traditional laws and demonstrate respect for authority figures. Their technologies are predominantly agricultural, with farming being central to their livelihood. However, their heavy reliance on nature makes them highly vulnerable to the adverse effects of climate change. Additionally, their access to education remains limited. Practical implications This study highlights the critical need for the government to strengthen efforts in safeguarding the rights and welfare of ICCs/IPs, in alignment with the Indigenous Peoples' Rights Act and the United Nations Declaration on the Rights of Indigenous Peoples. Originality/value Despite technological advancements, many groups remain unheard, misunderstood and neglected. Among these are the upland communities on Panay Island, whose stories have largely remained untold due to a lack of systematic research and consolidated knowledge about them. Furthermore, the absence of platforms for discourse regarding their plight presents a significant challenge for researchers, hindering efforts to comprehensively understand their lives. These conditions perpetuate discrimination and social inequality. These circumstances paved the way for this study. © 2025 Emerald Publishing Limited
</summary>
<dc:date>2025-08-21T00:00:00Z</dc:date>
</entry>
<entry>
<title>Identification and characterization of cyanobacteria population in organic milkfish farm during wet and dry season</title>
<link href="https://hdl.handle.net/20.500.14353/991" rel="alternate"/>
<author>
<name>Casiple, Ma. Reliza Crisline P.</name>
</author>
<id>https://hdl.handle.net/20.500.14353/991</id>
<updated>2026-02-19T02:40:01Z</updated>
<published>2024-11-01T00:00:00Z</published>
<summary type="text">Identification and characterization of cyanobacteria population in organic milkfish farm during wet and dry season
Casiple, Ma. Reliza Crisline P.
This study was conducted to identify and characterize the cyanobacterial population in organic milkfish farm during the wet and dry season; and assess water quality parameters in three milkfish ponds in Brgy. Tiwi, Barotac Nuevo, Iloilo. Four (4) species were identified using partial 16s rDNA sequencing, namely: Synechococcus sp. MMG-15, Synechococcus sp. NB0720, Nostoc sp. NTK29, and Haematococcus lacustris. Seasonal variations showed Haematococcus lacustris (0.447 cells/mL) dominance during the dry season, and Nostoc sp. (1.00 cells/mL) thrived during the wet season. The highest cyanobacterial densities during wet and dry seasons were found in Nostoc sp. (W=1.00 cells/mL, D=0.212 cells/mL), followed by Synechococcus sp. (W=0.722 cells/mL, D=0.271) and Haematococcus lacustris (W=0.586 cells/mL, D=0.447 cells/mL). It is found out that dissolved oxygen and nitrate levels varied significantly between the wet and dry season. Furthermore, results of this study indicate higher cyanobacterial abundance during the wet season. Finally, proactive water quality monitoring and cyanobacterial control measures are recommended for sustainable fish production.
</summary>
<dc:date>2024-11-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Differentiation between organic and non-organic green onions using image classification with hyperparameter tuning</title>
<link href="https://hdl.handle.net/20.500.14353/448" rel="alternate"/>
<author>
<name>Dela Cruz, Nerilou B.</name>
</author>
<id>https://hdl.handle.net/20.500.14353/448</id>
<updated>2026-07-07T05:59:33Z</updated>
<published>2022-07-01T00:00:00Z</published>
<summary type="text">Differentiation between organic and non-organic green onions using image classification with hyperparameter tuning
Dela Cruz, Nerilou B.
Differentiation between agricultural organic and non-organic crops involves professional laboratory techniques using expensive devices. This research domain requires a real-world dataset (RWD) which is limited depending on the subject or issue of the research study. Thus, this work presented real-world green onions image datasets collected from various locations in Iloilo, Philippines. The gathered datasets fit ground truth criteria with notable information (e.g., size, width, height, resolutions, the weather during the time it captures, and place) for similarity differentiation. Moreover, this study aimed to design and develop a non-intrusive image classification using Deep Learning (DL) methods such as Convolutional Neural Networks (CNN) and Transfer Learning Models provided hyperparameter tuning. Hyperparameters are sets of variables that govern the training process of DL models. These variables remained constant over the training process and directly impacted the performance until it acquired results around 99% training and 96.25% validation accuracies. With this, an application was developed and successfully assisted users in differentiating organic and non-organic green onions using image classification.
</summary>
<dc:date>2022-07-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Redefining fatherhood: The lived experiences of stay-at-home fathers in a Filipino transnational family</title>
<link href="https://hdl.handle.net/20.500.14353/867" rel="alternate"/>
<author>
<name>Ballaret, Jeffrey R.</name>
</author>
<author>
<name>Lanada, Jonel P.</name>
</author>
<id>https://hdl.handle.net/20.500.14353/867</id>
<updated>2025-08-13T08:00:18Z</updated>
<published>2022-01-01T00:00:00Z</published>
<summary type="text">Redefining fatherhood: The lived experiences of stay-at-home fathers in a Filipino transnational family
Ballaret, Jeffrey R.; Lanada, Jonel P.
The Filipino family dynamics have evolved because of globalization and migration. This has changed the traditional family norms in the Philippines. As a result, the number of Stay-At-Home-Fathers (SAHFs) has increased, with fathers becoming primary givers and mothers becoming breadwinners. A phenomenological qualitative study was utilized in this study to understand the lived experiences of SAHFs focused on their life history, present experiences, and their reflections on hopes and aspirations. Reasons for becoming a SAHF are largely based on the socioeconomic status of the family and the readiness to end the cycle of poverty. Though there is an increased number of SAHFs, they continue to face isolation, stereotypes, and stigma. They expressed a desire for greater appreciation and understanding of their parental and emotional lives as fathers while finding balance in their new role and contribution to the family.
</summary>
<dc:date>2022-01-01T00:00:00Z</dc:date>
</entry>
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