Journal of Hunan University Natural Sciences

Metabolite profiling is an important approach for understanding plant physiological responses to abiotic stresses, including salinity, which significantly affects membrane stability, carbon metabolism, and ion homeostasis. This study aims to characterize the metabolite profile of cayenne pepper leaves (Capsicum frutescens L.) under salinity stress using Gas Chromatography–Mass Spectrometry (GC-MS) to identify volatile and semi-volatile compounds. The results showed that cayenne pepper leaves contained various metabolite groups, including alcohols, carboxylic acids, esters, sugars, aromatic heterocyclic compounds, and stress-related bioactive components. The dominant compounds detected included D-mannose, 3-furaldehyde, 5-hydroxymethylfurfural (HMF), palmitic acid, and stearic acid, which may contribute to osmoregulation, oxidative protection, and membrane lipid stability. The diversity of these components indicates metabolic adjustment to salinity stress through the strengthening of osmotic regulation, antioxidant defense, and membrane structure maintenance. Overall, the findings suggest that cayenne pepper leaves exhibit an adaptive metabolite profile that may be relevant to salinity tolerance. These results provide a useful basis for further research in stress metabolomics and for the development of chili varieties with improved tolerance to extreme environmental conditions.

Keywords: salinity stress; Capsicum frutescens L.; metabolite profiling; GC-MS analysis; abiotic stress response.

DOI https://doi.org/10.55463/issn.1674-2974.53.5.12

This study aims to map the political awareness of Generation Z students at an Islamic university by drawing on Baddeley and James’s political typology framework, which classifies individuals into four types based on two core dimensions: reading, understood as the ability to interpret political dynamics, and bringing, understood as the ability to internalize political values and act with integrity. Using a sequential explanatory mixed-methods design, data were collected from 353 students through a Guttman-scale questionnaire in the quantitative phase, followed by in-depth interviews, observations, and document analysis involving 12 purposively selected participants in the qualitative phase. The findings show that 49.9% of students fall into the “Sheep” category (low reading, high bringing), indicating strong moral orientation but limited political literacy; 21.2% are categorized as “Foxes” (high reading, low bringing), reflecting strategic political understanding without sufficient ethical commitment; 19.5% are “Donkeys” (low reading, low bringing), suggesting political disengagement and confusion; and only 9.3% are “Owls” (high reading, high bringing), representing critically engaged and ethically grounded political actors. Variations across faculties indicate that academic discipline significantly shapes political awareness: education (tarbiyah) students are dominant in the Sheep and Owl categories, Islamic law students are more represented in the Fox category, while economics students are more frequently found among the Donkeys. The qualitative findings further reveal that students’ political decisions are often influenced by family authority, religious identity, and pragmatic personal interests rather than by systematic policy analysis. This study contributes theoretically by validating and contextualizing the Baddeley and James model within the context of Indonesian Islamic higher education. Practically, it provides an empirical basis for designing targeted political education interventions. The findings underscore the need for curricular and extracurricular programs that strengthen political literacy while fostering ethical engagement among Generation Z students in Islamic higher education.

Keywords: political awareness; Generation Z; Islamic higher education; political education; political literacy; mixed methods.

DOI https://doi.org/10.55463/issn.1674-2974.53.5.11

Predicting fish production is important for supporting food security and sustainable fisheries management in Indonesia, particularly in the context of science-based policy making and catch quota regulation. However, accurate forecasting remains challenging due to inconsistencies in fisheries logbook data and the difficulty of capturing complex temporal patterns in production records. This study proposes a deep learning-based predictive framework for forecasting total fish production using a Trapezoid Long Short-Term Memory Linear Attention model. The model integrates an LSTM architecture with a linear attention mechanism to capture temporal dependencies and assign greater weight to relevant input features. The annual total production values were normalized using a global maximum value calculated across all fish species and years in the dataset. Model performance was evaluated using root mean squared error (RMSE) and mean absolute error (MAE). The experimental results produced an RMSE of 0.00465 and an MAE of 0.00244, indicating promising predictive performance after normalization. The model was trained by minimizing the mean squared error loss function. The predicted total production trends may provide useful scientific evidence for monitoring fishery production patterns, supporting precautionary stock management, and informing sustainable catch quota policies. Overall, the proposed model offers a data-driven approach for improving fisheries forecasting and strengthening evidence-based food security planning in Indonesia.

Keywords: fish production prediction; deep learning; LSTM; linear attention; sustainable fisheries management; food security; catch quota policy; Indonesia.

DOI https://doi.org/10.55463/issn.1674-2974.53.5.10

Temporomandibular joint (TMJ) internal derangement is a common cause of pain and functional limitation that can negatively affect quality of life. Arthrocentesis combined with intra-articular hyaluronic acid (HA) injection is widely used as a minimally invasive treatment; however, the additional benefit of oral glucosamine–chondroitin–methylsulfonylmethane (GCM) supplementation remains uncertain. This randomized clinical trial included 30 patients with TMJ internal derangement who were randomly allocated to two equal groups. The intervention group received arthrocentesis followed by intra-articular HA injection combined with oral GCM supplementation for three months, whereas the control group received arthrocentesis with HA injection alone. Pain intensity was evaluated using the Visual Analog Scale (VAS), and maximum mouth opening (MMO) was measured at baseline and at 1 week, 1 month, 3 months, and 6 months after treatment. Both groups demonstrated statistically significant reductions in pain and improvements in MMO over time (p < 0.001). Although absolute pain and MMO values differed between groups at certain follow-up intervals, comparisons of changes from baseline revealed no statistically significant differences between the two treatments (p > 0.05). Within the limitations of this study, arthrocentesis combined with intra-articular HA injection was effective in improving clinical outcomes in patients with TMJ internal derangement, whereas adjunctive oral GCM supplementation did not provide additional measurable benefit during the 6-month follow-up period.

Keywords: temporomandibular joint; TMJ internal derangement; arthrocentesis; hyaluronic acid; glucosamine; chondroitin; methylsulfonylmethane; maximum mouth opening; clinical trial.

DOI https://doi.org/10.55463/issn.1674-2974.53.5.9

This study analyzes the role of digital public service communication in supporting the performance of Online Single Submission (OSS) licensing services in Pangkep Regency, Indonesia. It addresses key challenges of digital governance in developing countries, particularly those related to public understanding, user participation, and service effectiveness. A qualitative approach was employed, combining a case study design with a phenomenological perspective to explore organizational practices and user experiences in depth. Data were collected through in-depth interviews with OSS officers and licensing applicants, participatory observation of the service process, and analysis of OSS guidance documents and internal procedures. Thematic analysis was used to identify patterns and relationships between communication practices and service performance. The findings show that although the Pangkep Regency Investment and One-Stop Integrated Service Office (DPMPTSP) uses various digital channels, including official websites, social media, OSS applications, and call centers, the quality and clarity of information remain inconsistent. Technical and formalistic content creates barriers for applicants with low digital literacy. Internal coordination among administrative units also affects service consistency and speed, as unclear or inconsistent information increases procedural errors and delays in permit issuance. Effective communication strategies, such as visual guides, video tutorials, infographics, and regular coordination meetings, were found to be important factors in improving service efficiency and applicant participation. This study emphasizes that the success of digital governance depends not only on technological infrastructure but also on the quality of public communication and internal coordination. The findings contribute to the digital governance literature and provide practical recommendations for improving OSS implementation at the local government level.

Keywords: digital governance; public service communication; Online Single Submission; OSS licensing system; organizational coordination; user participation; local government; Indonesia.

DOI https://doi.org/10.55463/issn.1674-2974.53.5.8