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The Central Java area, especially the North Serayu Basin, has the potential to accumulate hydrocarbons, as evidenced by the many manifestations of oil and gas seepage on the surface. This research in the Banjarnegara area, part of the North Serayu Basin, aims to determine the geochemistry characteristics of potential source rock of the Totogan Formation and existing oil seepage, as well as their genetic relation. Fifteen surface rock samples were analysed for the total organic carbon (TOC) content and Rock-Eval pyrolysis. Then, several samples were selected to examine the biomarker composition using GC. and GC-MS analysis. Meanwhile, the biomarker data of oil seepage data was obtained from previously published data. The identified terpanes and steranes biomarkers of potential source rock and oil seepage samples were performed to determine the relationship of oil seepage to its potential source rock. The research reveals that the Totogan Formation was deposited under suboxic to oxic conditions that can be distinguished into the estuary or bay deposit composed mainly of higher plant organic matter and the open marine deposit with input mainly from algae organic matter. Another important finding is a positive oil-to-source rock correlation between existing oil seepage and the Totogan Formation based on biomarker data. Thus, the findings of this research suggest that the Totogan Formation is the source rock of the existing oil seepage in this research area.

Background: Family medicine has been recognized as a medical specialty in Thailand. However, there is a lack of information about scholarly publications. Bibliometric analysis is a valuable methodology for identifying research trends and knowledge gaps in this field. This study aims to analyze scholarly publications related to family medicine in Thailand.

Method: This bibliometric analysis was conducted based on the PubMed search in March 2023. All relevant literature related to 'family medicine' and 'Thailand' was retrieved. Performance analysis examined the publication trends from 1963 to 2023, the top 10 journals publishing relevant articles, and the number of publications by research areas. Science mapping depicted clusters of co-occurring author keywords, their relationships, and the research themes' trend over two decades.

Results: A total of 1483 publications were retrieved. The number of publications showed an upward trend, increasing from 61 before 2000 to 359 in 2020. The Journal of the Medical Association of Thailand was the leading journal, publishing 267 articles (18.0 %). Research areas were categorized into Basic Knowledge (n = 211), Clinical Problem Solving (n = 714), Health Service (n = 256), Health System (n = 254), and Medical Education (n = 48). Science mapping identified six clusters based on 106 co-occurrence keywords, including public health, health services, medical issues in older adults, healthcare access, epidemiology, and others. Research themes have shifted from infectious diseases and public health to primary care and non-communicable diseases.

Conclusion: Future research should focus more on implementation at a population level and healthcare system, with more investigation into geriatric care and child and maternal health.

This study aimed to identify the botanical origins of honey through pollen analysis across agro-ecologies of Kelala district, South Wollo, Ethiopia. Fifteen honey samples were collected from traditional beehives, with 5 samples from each of the highland, midland, and lowland agro-ecologies. Qualitative and quantitative pollen analyses revealed that 22 honeybee plants belonging to 8 families, with no families of poisonous origin, and 3 growth forms were identified. Among these plant species, 18 were found in the midland and 13 were recorded in each of the highland and lowland agro-ecologies. The family Fabaceae, with 7 (31.81 %) of the identified honeybee plants, was highly dominant (p < 0.03) compared to the other families. Herbs, with 18 plant species, were highly dominant (p < 0.001) compared to shrubs and trees. In terms of plant species diversity, 10 plant species (Bidens pachyloma, Guizotia scabra, Becium grandiflorum, Eleusine floccifolia, Lens culinaris, Lippia adoensis, Medicago polymorpha, Ocimum basilicum, Trifolium steudneri, and Zea mays) were found in more than 50 % of the honey samples, with the first 2 in all the samples studied. Analysis of each honey sample showed that 8 (53.33 %) of the samples were monofloral, 3 (20 %) were bifloral, and the rest were multifloral. However, all the honeys produced due to agro-ecology (geographical origin) were monofloral. Guizotia scabra in the highland and Bidens pachyloma in the midland and lowland agro-ecologies were the predominant pollen producing species and contributors of monofloral honey. In conclusion, the safe and healthy monofloral honey produced across agro-ecologies suggests the suitability of the honey for human consumption and can potentially attract investors.

Cholera continues to be a pointed global health issue, prominently in developing nations, where the disease's severe diarrheal symptoms pose substantial public health risks. With the escalating spread of antibiotic resistance among V. cholerae strains, alternative therapeutic approaches are imperative. Antimicrobial peptides are increasingly recognized for their potential, with research focusing on finding the most effective options. We explored the antibacterial and antibiofilm properties of analogues of sheep myeloid antimicrobial peptide-18 (SMAP-18) against V. cholerae in this investigation. Our prior research demonstrated that substituting glycine with alanine at different positions within SMAP-18 altered its structure and antimicrobial activity. Among these altered analogues, our focus was on a mutant variant (mutSMAP-18), characterized by glycine-to-alanine substitutions at positions 2, 7, and 13. Our results indicated that mutSMAP-18 exhibited heightened antimicrobial and antibiofilm activities against V. cholerae compared to SMAP-18. We conducted several mechanistic investigations to check the membrane integrity using DNA-binding dye, SYTOX Green or measuring calcein dye leakage and analyzing flow cytometry by fluorescence-activated cell sorting (FACScan). From these tests, we elucidated that SMAP-18 primarily functions intracellularly, while mutSMAP-18 targets the bacterial membrane. Additionally, scanning electron microscopy (SEM) images illustrated membrane disruption at lower concentrations for mutSMAP-18. Notably, mutSMAP-18 demonstrated significant antibiofilm properties against V. cholerae. Overall, these findings offer valuable perspectives for developing novel antibacterial therapies targeting the pathogenic V. cholerae.

Background: Infection with the hepatitis B virus (HBV) is still a major global public health concern, especially in Ethiopia. Evidence suggests that some children in Ethiopia who have received hepatitis B vaccinations are still contracting HBV.

Objective: The main aim of this study was to detect antibodies to hepatitis B core antigen (anti-HBc) among vaccinated hepatitis B surface antigen (HBsAg)-negative individuals in North-West Ethiopia.

Methods and materials: A community-based cross-sectional study was conducted among 158 children aged 5-12 years from April 2021 to November 2021. A simple random sampling technique was used to recruit study participants. After 3-5 ml of venous blood was drawn from each study participant, a serum sample was utilized to determine hepatitis B surface antigen (HBsAg) and anti-hepatitis B core antibodies (anti-HBc) by enzyme-linked immunosorbent assay (ELISA). Logistic regression with a 95 % CI was used to show the statistical association.

Results: The total seropositivity of anti-HBc among vaccinated HBsAg-negative participants was 8/158 (5.1 %) (95 % CI: 2.0-9.0). Multivariable logistic regression revealed that children who had a previous history of blood transfusion were six times (AOR: 6.135, 95 % CI: 4.063, 10.752) (P < 0.006) more likely to develop anti-HBc. Moreover, children who had a previous history of surgery were five times (AOR: 5.116, 95 % CI: 3.123, 8.718) (P < 0.002) more likely to become anti-HBc seropositive.

Conclusion: There was a significant seroprevalence of anti-HBc in our study area, suggesting possible exposure to the virus despite immunization.

The primary focus of this study is to analyze comparative heat transfer in a two-dimensional (2D) multilayered human skin using thermal waves and Pennes' bioheat transfer models. The model comprises the epidermis, dermis, hypodermis tissue, and inner cells, and aims to understand their response to microwave (MW) power and electromagnetic (EM) frequency. The system of equations involves EM wave frequency and bioheat equations and uses the finite element method (FEM) for solving. It encompasses a range of microwave power levels (4-16 W), frequencies (0.9-4 GHz), and exposure durations (0-180 s). It examines how MW power and frequency affect temperature predictions due to different relaxation times. The results are visually represented, illustrating microwave power dissipation, isothermal profiles within the skin tissue, temperature trends at several locations, relaxation times, specific absorption rate (SAR), and the mean surface temperature of the multilayered dermal cell. Thermal analysis shows that Pennes' equation predicts higher temperatures than the thermal wave model of bioheat transfer (TWMBT). A notable disparity in temperature evolution is observed between the two models, especially in high-frequency transient heating scenarios. The TWMBT forecasts a delay in heat transfer, offering valuable insights into the more realistic short-term thermal behavior that the classical Pennes' model fails to capture. This comparative study underscores the significance of selecting an appropriate bioheat transfer model for precise thermal analysis in biomedical applications, such as hyperthermia treatment and thermal diagnostics. The findings emphasize the potential of the TWMBT to enhance the accuracy of thermal treatments in clinical settings.

The budgeted influence maximization (BIM) problem aims to identify a set of seed nodes that adhere to predefined budget constraints within a specified network structure and cost model. However, it is difficult for the existing algorithms to achieve a balance between timeliness and effectiveness. To address this challenge, our study initially proposes a refined cost model through empirical scrutiny of Weibo's quote data. Subsequently, we introduce a proxy-based algorithm, i.e., the budget-aware local influence iterative (BLII) algorithm tailored for the BIM problem, aimed at expediently identifying seed nodes. The algorithm approximates the global influence by leveraging the user's one-hop influence and circumvents influence overlap among seed nodes via iterative influence updates. Comparative experiments involving eight algorithms across four real networks demonstrate the effectiveness, efficiency, and robustness of the BLII algorithm. In terms of influence spread, the proposed algorithm outperforms other proxy-based algorithms by 20%-255 % and reaches the state-of-the-art simulation-based approach by 96 %. In addition, the running time of the BLII algorithm is reasonable. Generally, the proposed cost model and BLII algorithm provide novel insights and potent tools for studying BIM problems.

Carbon black pigments hold significant importance as the primary representatives of black pigments in the industry today. The dispersibility of carbon black pigment (CB) in water is limited by the nonpolar and weakly hydrophilic characteristics of the pigment's surface. Therefore, there is a critical need to devise an economical and eco-friendly approach for creating a well-dispersed and stable suspension of carbon black in an aqueous medium. The primary focus of this study was to investigate the dispersion capabilities of protein hydrolysate (HP) derived from sheep wool on CB particles in a water-based pigment concentrate. The hydrolysis degree of protein source was determined by high-performance liquid chromatography and gel permeation chromatography. The dispersion performance was investigated by zeta potential, transmission electron microscopy, Fourier transform infrared spectroscopy, grindometer, spectrophotometer-colorimeter, viscometer, and cryptometer measurements. The HP solution containing amino acids, peptides, and polypeptides with low molecular weight can cover the surface of the CB particles, creating enough electrical repulsion and steric resistance. As a result, this phenomenon can inhibit the collision and interaction among the pigment particles caused by Brownian motion, making it less prone to aggregation. The protein hydrolysate demonstrated a higher capability in producing the stable CB dispersions compared to a commercial reference dispersant, highlighting the effectiveness of amino acids, peptides, and polypeptides as powerful CB dispersing agents.

Primary school pupils have difficulty making accurate judgments of learning (JOL) in a digital environment. In two studies, we examined the contribution of metacognitive self-questioning to JOL accuracy in the course of reading literacy (Study 1) and mathematical literacy (Study 2) digital learning programs. Both studies comprised a six-session intervention. In each session fifth-grade students studied a short text (Study 1, N = 65) or story containing mathematical components (Study 2, N = 72), then judged their comprehension by predicting their performance before completing a test. For the experimental groups, metacognitive questioning was incorporated into the study materials. In both studies the experimental groups improved over the six sessions in both performance and calibration (i.e., reducing the gap between judgment and performance). The findings highlight the contribution of metacognitive support to improved performance and judgment accuracy and strengthen the case for incorporating metacognitive practices when teaching literacy in a digital environment.

System stability issues regarding frequency and voltage in modern power systems are growing in importance as they incorporate more and more complex components. To ensure a sustainable, pollution-free power generation, modern power systems are designed to incorporate more renewable generation sources than traditional ones. Therefore, in the event of a large-scale disruption event, conventional load-shedding strategies are unable to keep the voltage and frequency limit below the threshold value. The suggested approach takes into account this issue by rating load buses in relation to relevant frequency changes, their voltage stability, system load damping coefficients, and the introduction of green energy sources in place of fossil fuel-based ones. Battery Energy Storage Systems (BESS) are used in the proposed method to minimize load shedding amount required for conventional schemes. After determining the amount, the scheme dynamically chooses feeders as per relative weightage of the stability components (voltage, frequency) to ensure that the overall load shed amount is near to the calculated value. To verify this, the scheme is tested on IEEE 39 bus with python scripted simulation. There are four scenarios considering 250 MW, 500 MW and 1500 MW injection of PV based power generation sources with conventional generation loss of 800 MW and 1000 MW. The threshold frequency is considered 49.10 Hz. The total amount of BESS is 300 MW. For every scenario, it has been found that the methodology successfully maintains the system frequency above 49.10 Hz with a minimal amount of load shedding. Hence, the proposed methodology is able to maintain frequency stability for a modern power system with large-scale PV generation through adaptive feeder selection for load shedding.