Surrogacy has opened new doors for many people who need children but are infertile or unable to have children. Through modern scientific technology, couples or mothers can find women to ask them to be surrogates using their eggs or sperm. The nature of surrogacy is reproductive support, but the complexity of the surrogacy procedure causes a lot of controversy not only in the field of criminal law but also regarding its implementation in practice. The article uses qualitative analysis to study current commercial surrogacy formulas. The main goal of this study is to clarify the legal aspects of commercial surrogacy in the world and in Vietnam. The article also concludes that Vietnam and other countries need to agree or develop common principles to avoid cross-border surrogacy as well as establish legal tools to prevent surrogacy for sexual purposes trade to protect human rights and prevent child trafficking.
The decentralization of the NHIS’s implementation to states intended to hasten progress towards universal health coverage, has not effectively addressed healthcare disparities, particularly in Lagos State. The implementation of the Lagos State Health Insurance Scheme appears to perpetuate structural violence, evident in increased out-of-pocket expenses, discrimination based on insurance type, and substandard healthcare delivery. The study therefore examined how structural violence has affected the policy outcomes of the Lagos State Health Insurance Scheme, with a specific emphasis on junior officers in grade level 01–07 in five selected ministries situated within Lagos State. Both primary and secondary data were collected using questionnaire, interview and literature search. Data gathered were analysed statistically and thematically. The findings of the study indicate that the policy outcome of the scheme has been adversely affected by structural violence, resulting in dissatisfaction, compensation claims for unresolved health issues and a shift in health insurance providers among enrolled junior officers.
This study applies machine learning methods such as Decision Tree (CART) and Random Forest to classify drought intensity based on meteorological data. The goal of the study was to evaluate the effectiveness of these methods for drought classification and their use in water resource management and agriculture. The methodology involved using two machine learning models that analyzed temperature and humidity indicators, as well as wind speed indicators. The models were trained and tested on real meteorological data to assess their accuracy and identify key factors affecting predictions. Results showed that the Random Forest model achieved the highest accuracy of 94.4% when analyzing temperature and humidity indicators, while the Decision Tree (CART) achieved an accuracy of 93.2%. When analyzing wind speed indicators, the models’ accuracies were 91.3% and 93.0%, respectively. Feature importance revealed that atmospheric pressure, temperature at 2 m, and wind speed are key factors influencing drought intensity. One of the study’s limitations was the insufficient amount of data for high drought levels (classes 4 and 5), indicating the need for further data collection. The innovation of this study lies in the integration of various meteorological parameters to build drought classification models, achieving high prediction accuracy. Unlike previous studies, our approach demonstrates that using a wide range of meteorological data can significantly improve drought classification accuracy. Significant findings include the necessity to expand the dataset and integrate additional climatic parameters to improve models and enhance their reliability.
Indonesia has ratified United Nations Convention on the Law of the Sea 1982 (UNCLOS 1982) through Law No. 17 of 1985 concerning the ratification of the 1982 Law of the Sea Convention, thus binding Indonesia to the rights and obligations to implement the provisions of the 1982 convention, including the establishment of the three Northern-Southern Indonesia’s Archipelagic Sea Lane (ALKI). The existence of the three ALKI routes, including ALKI II, has led to various potential threats. These violations not only cause material losses but, if left unchecked and unresolved, can also affect maritime security stability, both nationally and regionally. The maritime security and resilience challenges in ALKI II have increased with the relocation of the capital, which has become the center of gravity, to East Kalimantan. The research in this article aims to identify and analyze the factors influencing the success of maritime security and resilience strategies in ALKI II. The factors used in this research include conceptual components, physical components, moral components, command and control center capabilities, operational effectiveness, command and control effectiveness, and the moderating variables of resource multiplier management and risk management to achieve maritime security and resilience. This study employed a mixed-method research approach. The factors are modeled using Structural Equation Modeling (SEM) with WarpPLS 8.0 software. Qualitative data analysis used the Soft System Methodology (SSM). The results of the study indicate that the aforementioned factors significantly influence the success of achieving maritime security and resilience in ALKI II.
The digital era has brought immense attention to the tourism industry through the pervasive influence of social media. Social media content profoundly shapes travel aspirations among the Chinese Generation Z, mainly through short videos. This study aims to unravel the intricate dynamics between short videos and Gen Z’s travel preferences, shedding light on their motivations, environmental consciousness, and adoption of sustainable tourism practices. Three regression models were applied in this study to shed light on this correlation. The initial model examines factors influencing the general travel intentions of Chinese Gen Z. The subsequent model delves into determinants affecting the adoption of responsible tourism practices among Gen Z. Then, the last model identifies factors contributing to tourism-related environmental awareness among this population. Through empirical analysis conducted via a structured questionnaire administered to 506 Chinese Gen Z individuals, this study’s findings confirm that well-crafted short videos significantly impact the travel intentions of Chinese youth, thereby fostering responsible tourism practices and increasing environmental consciousness. This highlights the pivotal role of argumentation quality and source credibility in shaping Gen Z’s travel intentions, underscoring the importance of credibility in promoting responsible tourism practices and environmental awareness. Furthermore, this study analysis reveals that females exhibit greater susceptibility to the influence of short video content on travel decisions than males. In conclusion, this study emphasizes the critical role of integrating short video content into marketing strategies within the tourism sector, particularly in the Gen Z demographic.
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