• Digital Humanities and Cultural Heritage
• Publications close
• PH close
• MO close

This academic paper embraces a politically theoretical discourse to examine the research gap from Governance concepts to the water and lake frameworks. It explains and understands the idea of Lake Governance and its central constituents: the collective people, development, conservation, and the Government. Governance’s concept is entrenched, and the water and lake frameworks are complicated, making the lake’s conceptualisation challenging to grasp and comprehend fully. This article asserts that: (i) Lake Governance is more suitable as this concept is simplicity, parsimony, and essential to understand and utilise. (ii) Lake Governance’s conceptualisation should be centered on contributing the scholarly literature and more so recognised and established in the lakes’ discourse. (iii) Government is crucial, the utmost consequential in Lake Governance, where this central position interlocks the collective people in development and the lake in conservation.

Natural language processing (NLP), which is known as an emerging technology creating considerable value in multiple areas, has recently shown its great potential in government operations and public administration applications. However, while the number of publications on NLP is increasing steadily, there is no comprehensive review for a holistic understanding of how NLP is being adopted by governments. In this regard, we present a systematic literature review on NLP applications in governments by following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol. The review shows that the current literature comprises three levels of contribution: automation, extension, and transformation. The most-used NLP techniques reported in government-related research are sentiment analysis, machine learning, deep learning, classification, data extraction, data mining, topic modelling, opinion mining, chatbots, and question answering. Data classification, management, and decision-making are the most frequently reported reasons for using NLP. The salient research topics being discussed in the literature can be grouped into four categories: (1) governance and policy, (2) citizens and public opinion, (3) medical and healthcare, and (4) economy and environment. Future research directions should focus on (1) the potential of chatbots, (2) NLP applications in the post-pandemic era, and (3) empirical research for government work.

Food neophobia (FN) is the reluctance to eat novel foods. It peaks around the toddler and preschool years, a sensitive time for developing dietary habits. If this eating behavior persists, children are susceptible to acquiring lifelong unhealthy dietary habits, ultimately affecting their development. Hence, this cross-sectional study involved 88 parents or caregivers of children ages 2 to 5 to describe FN relative to nutritional status (NS) and diet quality (DQ) and identify factors affecting its development. Data were collected using a computer-assisted personal interviewing (CAPI) online survey. Weight-for-height and height-for-age measurements were used to assess NS. While dietary diversity score (DDS) and Menu Eval Plus for DQ. The Child Food Neophobia Scale was adopted to measure FN. No significant associations were noted regarding NS and DQ. However, food-neophobic children had fewer intakes of legumes (p-value=0.041) and non-vitamin A-rich vegetables (p-value=0.048) and excessive intakes of phosphorus (p-value=0.002), vitamin A (p-value=0.027), and riboflavin (p-value=0.037). Snacks and discretionary foods are also frequently consumed as they are readily available and accessible. This behavior may probably be due to the innate preference of children for sweet and salty over bitter and sour flavors. Results warrant further research to develop interventions to address FN in children.

Despite being a women's problem for a long time, catcalling has recently attracted lawmakers' attention. In 2019, the Philippine government enacted Republic Act 11313, or the Safe Spaces Act, which prohibits and punishes gender-based sexual harassment. However, despite the existence of the law, catcalling continues to be rampant. This study aims to explore the experiences of women in Quezon City who have been subjected to catcalling and to provide answers regarding the effects of catcalling on the victims, the locations where catcalling is most prevalent, the most common perpetrators, and the victim's views on the Safe Spaces Act. This research uses a qualitative descriptive approach. Purposive sampling was used to select respondents, and respondents were interviewed using an interview guide to gather information. The findings indicate that women are most vulnerable to catcalling in public spaces, and the perpetrators are strangers or bystanders. Victims went through mental, emotional, and behavioral changes after the incident. Moreover, not all victims think that the law effectively addresses the problem because catcalling is still prevalent, and public awareness campaigns are lacking.