Subsequent Measures Research Articles

Анализ дефектов лакокрасочных покрытий и методы их устранения

Information is provided on paint coatings, their properties, technology of application as protective and functional coatings and materials that are used as anti-corrosion protection, both in metallic and non-metallic materials used in building structures. The main functions of the LPC are considered, such as protection from external influences, decorative function, and improvement of operational characteristics. An analysis of paintwork defects was carried out, the causes of these defects were identified with subsequent measures to eliminate them.

Experimental and numerical study on polypropylene fibers reinforced concrete slabs with corroded reinforcement under monotonic loading

The degradation of structural performance due to reinforcement corrosion in reinforced concrete (RC) structures and the subsequent measures to improve the mechanical properties of corroded RC structures have garnered significant interest. This study investigates the structural performance of corroded polypropylene fiber RC slabs through both experimental and numerical approaches. Specimens were subjected to accelerated corrosion via electrochemical methods to simulate rebar corrosion. Key experimental parameters include polypropylene fiber volume fractions of 0% and 3%, design corrosion levels of 0%, 5%, and 10%, and both one-way and two-way constraints. The Digital Image Correlation (DIC) technique was employed for data acquisition. Load, deflection, strain, and crack morphology data were collected during loading. Results indicate that reinforcement corrosion increases the maximum crack width during loading, while a 3% polypropylene fiber volume fraction reduces this width by 20% to 48% at the same load level. Polypropylene fibers also enhance the peak loads and corresponding deflections of unidirectional and bidirectional specimens, with a more pronounced increase in unidirectional specimens of 11.3% and 15.4%, respectively. Although corrosion reduces the load-carrying capacity of the specimens, the inclusion of 3% polypropylene fibers significantly mitigates this reduction. A numerical model, incorporating rebar corrosion and polypropylene fibers through appropriate material constitutive models, was developed and validated against experimental results. The model accurately simulates the mechanical behavior of polypropylene fiber RC slabs with corroded reinforcement.

High-risk nuclide screening and parameter sensitivity analysis based on numerical simulation and machine learning

During nuclear accidents, large quantities of radionuclides will be released into the environment, posing serious health hazards to local residents. The screening of high-risk nuclides is critical for the development of subsequent nuclear emergency response measures. In order to overcome the shortcomings of traditional screening methods, a machine learning method was proposed to screen high-risk nuclides and predict their contamination to groundwater more effectively. The performances of Support Vector Machine (SVM), Random Forest (RF) and Back Propagation Neural Network (BPNN) algorithms were compared, and sensitivity analyses of the initial leakage concentration ratio (C0/Cp), distribution coefficient (Kd) and decay coefficient (λ) on the model outputs were performed. Results showed that RF classification model achieved the highest prediction accuracy for screening high-risk nuclides. The contribution of the input parameters ranked as Kd > λ > C0/Cp. BPNN regression model was found to be the best for predicting when high-risk nuclides would pollute groundwater. The output was negatively correlated with C0/Cp and positively correlated with Kd and λ, with the parameter influence ranking as Kd > C0/Cp > λ. The contribution of Kd mainly came from itself, and the contribution of C0/Cp and λ mainly due to their interaction with other parameters.

Transnational lives interrupted: The Canadian state and Indian international student experiences during the COVID‐19 pandemic

AbstractCanada has emerged as a major education destination for international students from across the world. International students are understood to significantly contribute towards the labour market and economic growth of Canada including the higher education sector that has come to financially rely on international students. India has emerged as the largest source of international students to Canada in recent years making them a significant category of migrants impacted by the covid‐19 pandemic and the subsequent lockdown measures implemented by the Canadian state. This paper looks at the experiences of Indian international students already in Canada and prospective students in India planning to pursue their studies in Canada. The pandemic delayed international education plans for many students in India while causing significant disruption to the studies, employment, and living arrangements of international students in Canada. Such disruptions created considerable uncertainty over their financial situation including meeting various eligibility requirements for work permit after graduation. This paper reveals the deeply embodied and personalised consequences for students in the face of state responses to balancing pandemic control and retaining financial and economic contribution during the pandemic.

One decade of point-prevalence surveys for carriage of extended-spectrum beta-lactamase-producing enterobacterales: whole genome sequencing based prevalence and genetic characterization in a large Dutch teaching hospital from 2013 to 2022

ObjectivesTo determine the prevalence, trends, and potential nosocomial transmission events of the hidden reservoir of rectal carriage of extended-spectrum beta-lactamase-producing Enterobacterales (ESBL-E).MethodsFrom 2013 to 2022, yearly point prevalence surveys were conducted in a large Dutch teaching hospital. On the day of the survey, all admitted patients were screened for ESBL-E rectal carriage using peri-anal swabs and a consistent and sensitive selective culturing method. All Enterobacterales phenotypically suspected of ESBL production were analysed using whole genome sequencing for ESBL gene detection and clonal relatedness analysis.ResultsOn average, the ESBL-E prevalence was 4.6% (188/4,119 patients), ranging from 2.1 to 6.6% per year. The ESBL-prevalence decreased on average 5.5% per year. After time trend correction, the prevalence in 2016 and 2020 was lower compared to the other year. Among the ESBL-E, Escherichia coli (80%) and CTX-M genes (85%) predominated. Potential nosocomial transmission events could be found in 5.9% (11/188) of the ESBL-E carriers.ConclusionsThe ESBL-E rectal carriage prevalence among hospitalized patients was 4.6% with a downward trend from 2013 to 2022. The decrease in ESBL-E prevalence in 2020 could have been due to the COVID-19 pandemic and subsequent countrywide measures as no nosocomial transmission events were detected in 2020. However, the persistently low ESBL-E prevalences in 2021 and 2022 suggest that the decline in ESBL-E prevalence goes beyond the COVID-19 pandemic, indicating that overall ESBL-E carriage rates are declining over time. Continuous monitoring of ESBL-E prevalence and transmission rates can aid infection control policy to keep antibiotic resistance rates in hospitals low.

Evidence-Based Recommendations for Tablet Recordings From the Bridge2AI-Voice Acoustic Experiments

BackgroundAs part of a larger goal to create best practices for voice data collection to fuel voice AI research, the objective of this study was to investigate the ability of readily available iOS and Android tablets with and without low-cost headset microphones to produce recordings and subsequent acoustic measures of voice comparable to “research quality” instrumentation. MethodsRecordings of 24 sustained vowel samples representing a wide range of typical and disordered voices were played via a head-and-torso model and recorded using a research quality standard microphone/preamplifier/audio interface. Acoustic measurements from the standard were compared to two popular tablets using their built-in microphones and with low-cost headset microphones at different distances from the mouth. ResultsVoice measurements obtained via tablets + headset microphones close to the mouth (2.5 and 5cm) strongly correlated (r’s > 0.90) with the research standard and resulted in no significant differences for measures of vocal frequency and perturbation. In contrast, voice measurements obtained using the tablets’ built-in microphones at typical reading distances (30 and 45cm) tended to show substantial variability in measurement, greater mean differences in voice measurements, and relatively poorer correlations vs. the standard. ConclusionFindings from this study support preliminary recommendations from the Bridge2AI-Voice Consortium recommending the use of smartphones paired with low-cost headset microphones as adequate methods of recording for large-scale voice data collection from a variety of clinical and non-clinical settings. Compared to recording using a tablet directly, a headset microphone controls for recording distance and reduces the effects of background noise, resulting in decreased variability in recording quality. Data Availability StatementData supporting the results reported in this article may be obtained upon request from the contact author.

Impact of Regulatory Interventions on Ulipristal Acetate 5 mg (Esmya) Use in Spain: An Interrupted Time-Series Analysis.

Since late 2017, the use of ulipristal acetate 5 mg (UPA; Proprietary name: Esmya) has been under review in the European Union, due to an emerging hepatic risk. In February 2018 and in July 2018, the Spanish Agency of Medicines and Medical Devices and the marketing authorization holder put two risk minimization measures (RMM) in place, in order to inform about new safety information and to mitigate this risk. This study aims to assess RMM effectiveness in Spain, by performing an interrupted time-series (ITS) analyses, between 2014 and 2019. Two quasi-experimental ITS analyses to examine the use of UPA before and after the RMM release were performed: (a) an ecological study using aggregated data from a drug consumption database; and (b) a study using primary healthcare data gathered from electronic clinical records. Regulatory interventions were associated with an immediate and significant decrease level of DID (the number of DDD dispensed per 100 000 inhabitants and day) and incidence. The DID was 70% less than expected 12 months after the interventions. This value was 59% for the incidence. However, a change in the slope was not observed and the use started rising again in the last segment of the study period. Despite RMM had an immediate strong impact on UPA use, the last segment upward trend in the long-term might have been affected by the lack of comparable therapeutic alternatives. Further studies should be performed to confirm the increase trend observed and analyze subsequent measures and additional data.

2D Janus carrier-enabled trojan horse: Gallium delivery for the sequential therapy of biofilm associated infection

Biofilm-associated infections (BAIs) continue to pose a major challenge in the medical field. Nanomedicine, in particular, promises significant advances in combating BAIs through the introduction of a variety of nanomaterials and nano-antimicrobial strategies. However, studies to date have primarily focused on the removal of the bacterial biofilm and neglect the subsequent post-biofilm therapeutic measures for BAIs, rendering pure anti-biofilm strategies insufficient for the holistic recovery of affected patients. Herein, we construct an emerging dual-functional composite nanosheet (SiHx@Ga) that responds to pHs fluctuation in the biofilm microenvironment to enable a sequential therapy of BAIs. In the acidic environment of biofilm, SiHx@Ga employs the self-sensitized photothermal Trojan horse strategy to effectively impair the reactive oxygen species (ROS) defense system while triggering oxidative stress and lipid peroxidation of bacteria, engendering potent antibacterial and anti-biofilm effects. Surprisingly, in the post-treatment phase, SiHx@Ga adsorbs free pathogenic nucleic acids released after biofilm destruction, generates hydrogen with ROS-scavenging and promotes macrophage polarization to the M2 type, effectively mitigating damaging inflammatory burst and promoting tissue healing. This well-orchestrated strategy provides a sequential therapy of BAIs by utilizing microenvironmental variations, offering a conceptual paradigm shift in the field of nanomedicine anti-infectives.

Enhanced Winter Wheat Seedling Classification and Identification Using the SETFL-ConvNeXt Model: Addressing Overfitting and Optimizing Training Strategies

The growth status of winter wheat seedlings during the greening period is called the seedling situation. Timely and accurate determinations of the seedling situation type are important for subsequent field management measures and yield estimation. To solve the problems of low-efficiency artificial classification, subjective doping, inaccurate classification, and overfitting in transfer learning in classifying the seedling condition of winter wheat seedlings during the greening period, we propose an improved ConvNeXt winter wheat seedling status classification and identification network based on the pre-training–fine-tuning model addressing over-fitting in transfer learning. Based on ConvNeXt, a SETFL-ConvNeXt network (Squeeze and Excitation attention-tanh ConvNeXt using focal loss), a winter wheat seedling identification and grading network was designed by adding an improved SET attention module (Squeeze and Excitation attention-tanh) and replacing the Focal Loss function. The accuracy of the SETFL-ConvNeXt reached 96.68%. Compared with the classic ConvNeXt model, the accuracy of the Strong class, First class, and Third class increased by 1.188%, 2.199%, and 0.132%, respectively. With the model, we also compared the effects of different optimization strategies, five pre-training-fine-tuning models, and the degree of change in the pre-trained model. The accuracy of the fine-tuning models trained in the remaining layers increased by 0.19–6.19% using the last three frozen blocks, and the accuracy of the pre-trained model increased by 3.1–8.56% with the least degree of change method compared with the other methods. The SETFL-ConvNeXt network proposed in this study has high accuracy and can effectively address overfitting, providing theoretical and technical support for classifying winter wheat seedlings during the greening period. It also provides solutions and ideas for researchers who encounter overfitting.

Study on the control effectiveness of relative humidity by various ventilation systems for the conservation of cultural relics

The Dadiwan F901 site, boasting a history of over 5000 years, stands as the largest and most intricately crafted large-scale housing structure from China’s prehistoric era. The early renovation efforts, incorporating a sealed glass curtain wall, led to a continuous rise in relative humidity within the site, triggering outbreaks of microbial diseases. Subsequent measures successfully restored stability to the thermal and humid environment. This paper employs on-site real-time environmental monitoring and numerical simulation methods to assess the ventilation effectiveness and relative humidity changes before and after multiple interior modifications of the Dadiwan F901 site museum. The results indicate that the fully enclosed glass curtain wall can suppress the dependence of indoor humidity fluctuations on external weather fluctuations but has generated unintended consequences, leading to increased air relative humidity and even reaching saturation in the museum space. The strategic deployment of louvered windows and duct fans proved effective in enhancing internal airflow dynamics and overall air exchange capacity. It was possible to ensure that the relative humidity inside the site remained at approximately 70%, meeting the essential requirements for the preservation of cultural relics. This study is of great significance for alleviating the deterioration problem of enclosed exhibition halls of earthen relics.Graphical

Examining the Frequency of Hypomagnesemia in Multiple Trauma Patients Hospitalized in the Intensive Care Unit

Background: Electrolyte imbalance is one of the influential causes in determining the outcome of traumatic patients. One of the electrolytes that get less attention from healthcare providers is magnesium. Therefore, this study investigated the frequency of hypomagnesemia in trauma patients hospitalized in the intensive care unit. Methods: The descriptive-cross-sectional study was conducted after approval at Zahedan University of Medical Sciences on 118 patients with multiple traumas from 2021 to 2022. Patients were selected by convenience sampling method according to the inclusion criteria. Age, sex, weight, body mass index, level of consciousness, and level of blood serum electrolytes were measured and recorded on the first and fifth days after hospitalization. The data were analyzed and compared using descriptive statistics, chi-square, and independent t-test. Results: Of 118 patients studied, 81 (68.6%) were male, and 38 (31.4%) were female. On the fifth day after hospitalization, the mean serum magnesium level of the patients was 1.4 ± 0.81 mg/dL. 87 patients (73.7%) had normal magnesium serum levels, 27 patients (29.9%) had hypomagnesemia, and 4 patients (3.4%) had severe hypomagnesemia. No statistically significant relationship existed between hypomagnesemia and gender, age group, and comorbidity diseases. The level of other blood serum electrolytes on the fifth day after hospitalization, age, weight, body mass index, and status of consciousness was not statistically significant between the two groups of patients with hypomagnesemia and without hypomagnesemia. Conclusion: Trauma and the subsequent treatment measures lead to decreased magnesium serum levels in intensive care patients. Therefore, the normal serum level of other electrolytes should not be considered a diagnostic indicator for the normality of magnesium serum level. Magnesium should be measured along with other electrolytes to make a timely decision to replace magnesium supplements in a patient with hypomagnesemia.

Effects of COVID-19-targeted non-pharmaceutical interventions on pediatric emergency department use: a quasi-experimental study interrupted time-series analysis in North Italian hospitals, 2017 to 2022.

The use of Non-Pharmaceutical Interventions (NPIs) during the COVID-19 pandemic is debated. Understanding the consequences these measures may have on vulnerable populations including children and adolescents is important. This is a multicenter, quasi-experimental before-after study involving 12 hospitals of the North Italian Emilia-Romagna Region, with NPI implementation as the intervention event. The 3 years preceding NPI implementation (in March 2020) constituted the pre-pandemic phase. The subsequent 2 years were further subdivided into a school closure phase (SC) and a subsequent mitigation measures phase (MM) with milder restrictions. Interrupted Time Series (ITS) regression analysis was used to calculate PED Standardized Incidence Rate Ratios (SIRR) on the diagnostic categories exhibiting the greatest frequency and/or variation. In the 60 months of the study there were 765,215 PED visits. Compared to the pre-pandemic rate, overall PED presentations dropped by 58 and 39% during SC and MM, respectively. "Symptoms, signs and Ill-defined conditions," "Injury and poisoning" and "Diseases of the Respiratory System" accounted for 74% of the reduction. A different pattern was instead seen for "Mental Disorders," which exhibited the smallest decrease during SC, and is the only category which rose already at the end of SC. ITS analysis confirmed the strong decrease during SC (level change, IRR 0.17, 95%CI 0.12-0.27) and a significant increase in MM (slope change, IRR 1.23, 95%CI 1.13-1.33), with the sharpest decline (-94%) and rise (+36%) observed in the "Diseases of the Respiratory System" category. Mental Disorders showed a significant increasing trend of 1% monthly over the whole study period exceeding pre-pandemic levels at the end of MM. Females and adolescents showed higher increasing rates both in SC and MM. NPIs appear to have influenced PED attendance in different ways according to diagnostic categories, mirroring different mechanisms of action. These effects are beneficial in some cases and harmful in others, and establishing a clear balance between pros and cons is a difficult task for public health decision makers. The role of NPIs on PED use appropriateness deserves investigation. The rise in pediatric mental disorders independent of the pandemic makes interventions addressing these issues urgent.

Prevalence and predictors of long-term progression of chronic kidney disease in people with HIV in Ghana from 2003–2018

BackgroundHIV is associated with an increased risk of progression to chronic kidney disease (CKD), and this risk is higher in people of West African descent than many other ethnicities. Our study assessed the rates of eGFR change and predictors of rapid eGFR progression in patients receiving antiretroviral therapy (ART), including tenofovir disoproxil fumarate (TDF), in central Ghana between 2003 and 2018.MethodsThis single-centre retrospective study enrolled people with HIV (PWH) initiating ART in Ghana between 2003–2018. Demographics, hepatitis B (HBsAg) status, ART regimens and estimated glomerular filtration rate (eGFR) measurements were recorded, and analyses including multi-level model linear regression were performed to determine predictors of greater levels of eGFR decline and risk of rapid eGFR decline.ResultsSix hundred and fifty-nine adult participants were included in the study with a median follow-up time of 6 years (IQR 3.6–8.9). 149 participants (22.6%) also had confirmed HBV co-infection. eGFR mean values were lowest at the point of diagnosis and highest on the second measurement taken; mean eGFR slowly decreased over subsequent measures thereafter. TDF use was associated with the highest mean rate of eGFR decline of all nucleoside or nucleotide reverse transcriptase inhibitors (NRTIs) with a statistically significant greater annual decline of -1.08 mL/min/1.73m2/year (CI: -1.92, -0.24) compared with zidovudine. Nevirapine (-0.78mL /min/173m2/year; CI: -1.39, -0.17) and protease inhibitors (-1.55mL/mil/173m2/year; CI: -2.68, -0.41) were associated with greater eGFR declines compared with efavirenz. Negative HBsAg status was associated with greater eGFR decline compared with positive HBsAg status (-1.25mL/mil/173m2/year; CI 0.29. -2.20).ConclusionsIncreased rates of eGFR decline amongst PWH in Ghana were associated with TDF, nevirapine, and protease inhibitor use as well as negative HBsAg status. Additional research using mortality outcome data is needed to closely assess long-term predictors of eGFR decline in African populations.

Policy responses to the rise of global OTT platforms in Korea

Abstract The outbreak of COVID-19 and subsequent social distancing measures sparked a surge in demand and unprecedented growth opportunities for OTT (over-the-top) services. Despite the need to foster Korea’s domestic media and cultural industry, the Korean government has almost failed to properly operate OTT policies and the opportunity went to global operators. Although Korea’s content competitiveness has advanced to a global level, local OTTs continue to lag Netflix. This is not a concern confined to Korea. This paper identifies the focal actors of Korea’s local OTT platforms, analyzes the developmental phases of the Korean OTT market, and draws policy-related and industrial implications by ascertaining, which factors hinder local OTT services from achieving their desired development, within the context of the actor-network theory. This paper offers a fresh perspective on the policy responses to the rise of global OTT platforms and the downturn of local OTT platforms in Korea.

Developing a robust soil health indicator selection framework

Developing a robust soil health indicator selection framework The EU Soil Health Monitoring Law proposes twelve main soil indicators for reporting soil health. There is a need to ensure that these indicators and other subsequent measures are robust for their purpose. Since there is no single indicator for soil health, a robust framework for selecting indicators using agreed-upon criteria is needed(1,2). A summary of the selection framework criteria is discussed below and summarized in Figure 1. This framework is based on synthesizing accepted and tested methods to assess current indicators and provide a basis for selecting new ones in the future. Selected indicators will be dependent on their ability to assess soil ecosystem functions and services(3).

The Number of Pictograms About Side Effects on the Medication Package Influences Medication Risk Perception

Abstract: Introduction and aim: Pictograms can make taking medication safer. However, little is known about how pictograms on a medication package influence the subjective assessment of a medication. Methods: In this online study, 276 participants were presented with a fictitious package that contained 0 to 5 pictograms of possible side effects. Participants had to assess the probability of side effects occurring as well as the benefits and harms of the medication, both before and after consulting the package insert. Results: The number of pictograms (leveling out at 2 pictograms) influenced the assessment of the probability of side effects occurring. In addition, the assessment of this measure served as an anchor for assessing all subsequent measures (e.g., benefit). Although participants adjusted their measures after package insert consultation - these adjustments were insufficient (as expected from a normative probability account). Discussion and conclusion: Pictograms influence medication assessment, and humans can process only a limited number of pictograms.

Coupling characteristics of construction safety risk and complicated factors of metro station: a case study of Ningbo

ABSTRACT This paper investigates the coupling relationship and degree of complex factors corresponding to the metro station construction in the Ningbo region. To this end, the interpretative structural modeling (ISM) method, a structural interpretation model, is utilized to develop the coupling connection network of construction risk factors. Moreover, the cloud model theory and coupling degree model are used to calculate the risk factor coupling degree within and between the construction safety risk subsystems. The analysis indicates that the coupling degree of risk factors within and among subsystems is notably high, falling into categories characterized by high coupling and strong coupling. It is also found that the entire coupling system is in a state of high-strength coupling. Therefore, during the construction process, the coupling impact of risk factors must be avoided, and risk factors must be prevented from further developing into risk events. The quantitative evaluation of the coupling degree between and among risk factor subsystems in this study provides a reference for project risk evaluation and facilitates the development of subsequent construction safety measures.

Longitudinal look at individual resident preferences to prevent burnout: Which matter the most?

ABSTRACT A longitudinal look at individual resident preferences to prevent burnout: Which matter the most? Background and Objectives Burnout among residents-in-training is being reported more frequently. Previous studies have shown that lower measures of emotional intelligence, mindfulness, emotional regulation, and gratitude earlier in residency were associated with higher burnout scores later. Many studies have reported interventions intended to lessen burnout but not chosen by the residents with variable results on subsequent burnout measures. This paper reports an individually paired longitudinal analysis of strategies ranked by the resident as important with a subsequent burnout measure. Methods From 2017 through 2021, 32 residents completed a survey ranking their preference of ten approaches to preventing burnout at the beginning of the academic year. Then they later completed a burnout survey at the end of each year. Results With a usable response rate of 94% and calculating Spearman’s Correlation, residents completing their first year of training after medical school (PG-1) who gave a higher rank to a workplace supporting their personal values (p=.016), self-care (p=.031), and administrative support (p=.046) showed less burnout at the end of the year. PG-3s (those completing their third year of training after medical school) who gave a higher rank to spending time with family and friends (p=.002) showed less burnout. For all three years, the most powerful correlation was with adopting a healthy philosophical outlook (p=.014, .008, <.001). Conclusions In this group of residents, the correlations of preferred strategies for lessening burnout differed by training level. Rather than faculty choosing an intervention, we propose these ten strategies as a potential menu, allowing the individual resident to focus on their preferences working with a mentor. Group discussion of methods used by individual residents to adopt a healthy philosophical outlook would also be helpful.

Lessons Learned From Data Falsification During an Academic Course Using A Root-Cause Analysis: A Case Report.

Fabricating data or creating fictitious datasets undermines research credibility with severe consequences. To describe a data falsification incident that occurred during an undergraduate nursing research seminar and share the subsequent corrective measures employed at individual and class levels. The students involved in the falsification were asked to identify the incident's factors using an Ishikawa diagram and the 5M-Model approach, presenting their findings to the class. In guided meetings, students offered diverse perspectives on the incident's causes, thoroughly examining the decision-making process behind data falsification, considering motives and emotions. Despite initial tension, the atmosphere improved as students displayed openness and honesty. The current case study uniquely combines educational concepts with an approach to establishing a constructive organizational culture, incorporating tools from risk management and treatment safety. Academia should study adverse events, engage students in learning, and emphasize the integration of ethical codes in academia and nursing.

Metabolomic profiling unravels divergent adaptive responses of oil palm (Elaeis guineensis) seedlings to drought stress under shaded and unshaded conditions

Abstract. Adrian M, Wulandari R, Sembiring E, Natawijaya A. 2024. Metabolomic profiling unravels divergent adaptive responses of oil palm (Elaeis guineensis) seedlings to drought stress under shaded and unshaded conditions. Biodiversitas 25: 2404-2414. This research takes a unique approach by investigating the metabolomic responses of oil palm (Elaeis guineensis Jacq.) seedlings to drought stress under both shaded and unshaded conditions. Drought stress poses a significant threat to oil palm cultivation, with profound implications for global palm oil production. Our study aims to unravel the adaptive mechanisms of oil palm seedlings through metabolomic profiling, specifically focusing on amino acids and isoprenoids. The methodology involved collecting samples at distinct time points, including normal conditions, 7 days after drought stress (7 DAT), and 14 days after drought stress (14 DAT). Gas Chromatography-Mass Spectrometry (GC-MS) was used for comprehensive metabolite analysis. The results unveiled substantial changes in metabolite profiles, particularly in amino acids and isoprenoids, indicating the plant's concerted efforts to maintain biochemical homeostasis and vitality during drought stress. Cluster analysis revealed distinct metabolic responses between shaded and unshaded conditions, suggesting an initial conservative response followed by subsequent adaptive measures over time. The fold-change analysis identified key compounds such as Proline, Methyl Palmitate, and octadecylamine, which are crucial for the plant's adaptation to drought conditions. ROC analysis further confirmed Proline and D-Glucuronic Acid Amide as potential biomarkers for distinguishing plant responses to drought stress. This comprehensive metabolomic investigation provides valuable insights into the adaptive strategies employed by oil palm seedlings, thereby offering practical implications for developing sustainable cultivation practices and mitigating drought stress in oil palm cultivation.