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Typhoid fever is an infectious disease caused by Salmonella typhi. Transmission can occur through air or food contaminated with the urine and feces of typhoid sufferers, such as air used for drinking, cooking, and washing food. Symptoms of typhoid fever include a prolonged high fever, defined as an elevated body temperature of >37.5°C. Other symptoms can include fatigue, nausea, abdominal pain, constipation or diarrhea, and headache. This study aimed to treat children with typhoid fever. The method used was a case study of a five-year-old child with typhoid fever who was hospitalized for four days. The results showed that the child had fever, obesity, and decreased appetite. The child's problem was hypothermia, while cooling interventions were used to manage hypothermia, and one of the cooling procedures performed was the application of aloe vera compresses. The evaluation results showed that the hyperthermia resolved after four days of hospitalization. Based on this study, it is hoped that patients and their families can independently apply aloe vera compresses to treat hypothermia in children.

The integration of Artificial Intelligence (AI) into precision agriculture has significantly improved plant disease recognition; however, many existing deep learning models remain computationally expensive and feature-redundant, limiting their deployment on low-power and edge devices. To address these limitations, this study proposes a lightweight framework for maize leaf disease recognition based on serial deep feature extraction, dimensionality reduction, and machine-learning–based classification. A pre-trained MobileNetV2 network is employed as a fixed feature extractor to obtain discriminative visual representations, while Principal Component Analysis (PCA) is applied to reduce feature dimensionality by approximately 76%, retaining 95% of the original variance and improving computational efficiency. The compressed features are subsequently classified using a Radial Basis Function Support Vector Machine (RBF-SVM), optimized via grid search and cross-validation. Experiments conducted on a four-class maize leaf disease dataset (Northern Leaf Blight, Common Rust, Gray Leaf Spot, and Healthy), with class imbalance handled during training, demonstrate that the proposed MobileNetV2–PCA–SVM pipeline achieves 97.58% accuracy, 96.60% precision, 96.59% recall, and 96.59% F1-score, outperforming the DenseNet201 + Bayesian-optimized SVM baseline (94.60%, 94.40%, 94.40%, and 94.40%, respectively). This improvement corresponds to a 2.98% accuracy gain, a 55% reduction in error rate, an 86% reduction in model parameters (20.31M to 2.75M), and an 85% reduction in model size (81 MB to 12 MB). These results indicate that the proposed framework provides a compact and efficient solution with strong potential for deployment in resource-constrained agricultural environments.

RFA treatments, pain is a frequent issue that might interfere with comfort and postpone recovery. Pharmacological treatment continues to be the mainstay of pain management after RFA, whereas non-pharmacological nursing treatments like cold compress therapy are not regularly used. The purpose of this research was to investigate how cold compress therapy affects pain severity in individuals following radiofrequency ablation. At the central general hospital in central Java, a quantitative quasi-experimental design was used, employing a one-group pre-test and post-test methodology. Twenty-eight participants were chosen using purposive sampling. The NRS was used to assess the intensity of pain both before and after applying a cold compress for 15–20 minutes. The Wilcoxon Signed Rank Test was used to examine the data. Following the intervention, the median pain scores fell from 5 (moderate pain) to 2 (mild pain), which was a statistically significant change (p = 0.001). These results suggest that cold compress therapy can be advised as a non-pharmacological nursing intervention in post-procedural treatment since it helps lessen post-RFA pain

The increasing demand for housing in tropical regions requires building materials that are fast to apply, environmentally friendly, and resilient to extreme climate conditions as well as disaster risks. Conventional interlocking bricks are often chosen for their ease of construction, yet they still face challenges such as moisture and early cracking. This study proposes the innovation of the Hybrid Living Green Brick, a combination of lightweight bricks made from rice husk ash and fly ash waste (FRCB) with a biological layer of cyanobacteria. FRCB improves compressive strength by approximately 30% with the addition of 5% rice husk ash, achieving 65 kg/cm², thereby meeting Class 50 requirements (≥50 kg/cm²) according to SNI-15-2094-2000. The incorporation of 3% cyanobacteria provides an additional though not significant strength improvement, while still within the Class 50 category. It also reduces brick weight by 4.3%, with further optimization potential through cyanobacteria integration, and lowers carbon emissions from the firing process. Cyanobacteria induce the formation of CaCO₃ layers that seal pores, reduce water absorption by an average of 10%, and provide self-healing properties for microcracks. Preliminary observations indicate that FRCB offers stable mechanical performance, while biological activity was observed on the 7th day with the formation of pale-white mineral layers continuing until the 28th day. This hybrid innovation shows potential to support sustainable and disaster-resilient tropical construction by combining the mechanical strength of waste-based materials with the biological durability of cyanobacteria against extreme climates. Despite challenges related to moisture control and production standardization, the Hybrid Living Green Brick concept opens new pathways for developing environmentally friendly construction materials that are more adaptive to disaster-prone tropical conditions.

This study aims to determine the level of knowledge of U16 women's national team athletes regarding injury management using the PRICES (Protect, Rest, Ice, Compression, Elevation, Support) method to improve athlete safety.. The study used a quantitative descriptive method with a cross-sectional approach. Data were collected through a Google Form questionnaire with 21 athletes as subjects. Data were classified using the Guttman scale and a dichotomous scale, then converted into a five-criteria scale. The data were processed using SPSS 22. The average score obtained was 136.81 with the lowest score being 117 and the highest score being 150. There were 8 (38.10%) subjects in the very high category, 10 (47.62%) subjects in the high category, and 3 (14.29%) subjects in the moderate category. These results indicate that the average subject's knowledge of the PRICES method is in the high or fairly good category. This indicates that most athletes have understood the basic principles of PRICES. An integrated educational program and practical simulation are needed in routine training to ensure that all athletes are able to apply the PRICES method quickly, precisely, and effectively when an injury occurs.

Injuries, supported by continuous education, plays an essential role in preventing further injury and Sports injuries are common occurrences in physical activities, with minor injuries being the most frequently experienced by athletes, students, and the general community. Improper initial management of minor sports injuries may lead to more severe conditions and prolonged recovery periods. This study aimed to describe the management of minor sports injuries at Boawae Public Health Center based on observation and interviews with healthcare professionals. A descriptive qualitative method was employed through direct observation and structured interviews with a general practitioner and a nurse at Boawae Public Health Center. The results indicated that the most common minor sports injuries treated were contusions, mild sprains, muscle cramps, and muscle soreness. The initial management applied by healthcare providers was based on the RICE principle (Rest, Ice, Compression, and Elevation), accompanied by injury assessment before and after treatment. In addition, patients were provided with education regarding proper injury management and injury prevention. It can be concluded that appropriate early management of minor sports ensuring safe and sustainable participation in sports activities.

Perineal wounds are commonly experienced by postpartum mothers after vaginal delivery and may cause pain and increase the risk of infection if not properly managed. Appropriate perineal wound care, including the use of non-pharmacological methods, requires adequate maternal knowledge and skills. This program aimed to improve postpartum mothers’ knowledge and skills in perineal wound care through education on betel leaf compresses at PMB Lina Contesa. A community empowerment approach was applied through health education combined with demonstrations and hands-on practice. Evaluation was conducted by assessing changes in maternal knowledge and skills and by observational monitoring of perineal wound conditions. The results showed improvements in maternal knowledge and skills in performing perineal wound care using betel leaf compresses. In addition, postpartum mothers reported reduced pain and no signs of infection during the observation period. These findings indicate that education on betel leaf compresses has the potential to serve as an applicable promotive and preventive approach to support accelerated perineal wound healing among postpartum mothers in primary midwifery care setting.

Cold compresses or cryotherapy are one of the non-pharmacological therapies often used in nursing practice to help reduce pain, especially in patients with fractures. Fractures are often accompanied by acute pain that can inhibit mobilization, prolong recovery time, and reduce patient comfort. Therefore, a safe, effective, and easy-to-use pain management method is needed. This article was compiled with the aim of identifying and mapping scientific evidence regarding the effectiveness of cold compresses in reducing pain intensity in fracture patients. This study used the Arksey and O'Malley model in conducting the analysis, with articles searched through PubMed, ScienceDirect, and Google Scholar for the 2021–2025 publication period. The article selection process followed the PRISMA flow. A review of ten articles showed that most studies used quantitative designs, both experimental and quasi-experimental. The results of the analysis of 11 articles consisted of 8 quantitative articles with experimental and quasi-experimental designs, while 2 articles were case studies. These articles generally discuss the effectiveness of cold compresses in reducing pain intensity in fracture patients using various measurement instruments, such as NRS, VAS, Wong-Baker Faces Scale, and Bourbanis Pain Scale. In addition to reducing pain, several studies also reported that cold compresses can reduce edema, increase mobility, and improve patient comfort. However, variations in the duration, frequency, and method of cold compress application were still found, so there is a need to develop a more standardized protocol in nursing practice.

This study explores the integration of adaptive streaming models with edge computing to optimize multimedia delivery, particularly in real-time applications such as video conferencing, live streaming, and virtual reality. The proposed model leverages adaptive compression techniques, including scalable video coding (SVC) and hybrid adaptive compression (HAC), which adjust video quality based on real-time network conditions. The use of edge computing further enhances the model by processing and delivering content closer to the user, reducing latency and optimizing bandwidth usage. The research demonstrates that the edge computing-based adaptive streaming model significantly improves latency by up to 30%, reduces bandwidth consumption, and ensures higher visual quality during video playback, even under fluctuating network conditions. This model addresses key challenges in multimedia streaming, such as maintaining video quality in bandwidth-constrained environments and minimizing buffering times. Furthermore, it enhances the overall Quality of Experience (QoE) for users by providing smoother interactions and real-time responsiveness. The study highlights the potential impact of this model on various fields, including remote education, entertainment, and interactive applications, where low-latency content delivery and high-quality streaming are critical. The findings suggest that integrating AI algorithms for even more efficient compression and expanding edge computing infrastructures will further optimize multimedia streaming in the future, ensuring reliable and high-quality user experiences in increasingly connected environments.

In high-performance computing (HPC) environments, the need to balance memory efficiency and query performance is crucial for ensuring optimal system performance. Traditional data structures, such as B-trees and hash tables, often prioritize either memory usage or query speed, leading to suboptimal performance in memory-constrained systems. This paper proposes a hybrid data structure that combines the strengths of multiple traditional data structures to optimize both memory usage and query processing speed. The proposed hybrid structure integrates cache-conscious algorithms, dynamic memory allocation, and compression techniques for intermediate query results. The approach is evaluated through extensive benchmarking tests comparing it to standard data structures like B-trees and hash tables under various workloads. Results show that the hybrid data structure reduces memory overhead by up to 30% while maintaining query processing speeds up to 1.5 times faster than conventional methods. Furthermore, the hybrid structure demonstrates robust performance across different types of queries, including both point and range queries, ensuring versatility and efficiency. The findings indicate that this hybrid approach provides a promising solution for HPC systems, where both memory efficiency and query speed are essential. Future research can explore extending the hybrid structure to distributed systems and emerging technologies, further improving its scalability and adaptability to new computational paradigms.

Steganography is a technique for hiding secret data within digital media such as images, audio, and video without causing noticeable visual changes. In video media, this technique offers advantages because each frame can be utilized dynamically, resulting in a larger data embedding capacity. However, conventional methods such as fixed-number Least Significant Bit (LSB) embedding still face limitations in balancing visual quality, embedding capacity, and resistance to compression or noise. To address these challenges, this study proposes an Adaptive Video Steganography Method based on Multi-Bit LSB that employs brightness, texture, and motion analysis for each frame to determine the number of embedding bits adaptively. The system adjusts the embedding capacity according to the local characteristics of the video: areas with high texture or rapid motion are assigned more bits, while static or low-texture areas use fewer bits to preserve visual quality. After the embedding process, the video quality is evaluated using PSNR (Peak Signal-to-Noise Ratio) and SSIM (Structural Similarity Index Measurement) to assess its similarity to the original video. Experimental results show a PSNR value of 45.86 dB and an SSIM value of 0.9441, Thus, the proposed adaptive method proves to be efficient, robust against disturbances, and capable of maintaining data security without compromising visual quality, making it highly suitable for implementation in multimedia-based information security systems.

The use of laminated bamboo columns as alternative building materials has attracted increasing attention, particularly as a substitute for wood in construction. Bamboo lamination techniques enable the production of structural materials with tailored mechanical properties. Numerous previous studies have investigated the compressive strength of laminated bamboo short columns subjected to various treatments. This study aims to evaluate the compressive strength and failure patterns of laminated bamboo short columns under compression loading. The experimental program included physical and mechanical characterization of bamboo, followed by compression testing of laminated bamboo short columns with dimensions of 10 cm × 10 cm × 30 cm. Three treatment variations were examined: untreated laminated columns, epoxy resin–coated columns, and steel plate–reinforced columns. The results indicate that untreated laminated bamboo columns exhibited an average compressive strength of 28.044 MPa, with cracking concentrated at the top of the column. Epoxy resin–coated laminated bamboo columns achieved an average compressive strength of 28.774 MPa, showing crack formation distributed across several regions of the column. Steel plate–reinforced columns demonstrated the highest average compressive strength of 31.138 MPa, with failure localized in the region between the steel plates. These findings provide valuable insights into the effectiveness of different treatment methods in enhancing the compressive performance and failure characteristics of laminated bamboo columns.

The development of science and technology generally brings positive impacts in terms of convenience in various human activities, but on the other hand, it also leads to negative consequences such as an increase in waste. One of the significant wastes produced from construction activities, including building and house construction, is feldspar, which typically comes from leftover ceramic materials. Feldspar is a type of waste that is difficult to decompose naturally and has no economic value, often accumulating and polluting the environment. Therefore, innovation is needed to utilize this waste to create value. This study aims to use feldspar powder as a replacement for fine aggregates in K-200 grade concrete mixtures. The research method involved mixing feldspar powder in specific proportions as a substitute for sand, followed by a series of tests, including compressive strength and flexural tests, to determine the feasibility and performance of the resulting concrete. The results indicate that the use of feldspar powder as a fine aggregate produces a concrete mixture with satisfactory mechanical characteristics, meeting the K-200 concrete standards. These findings not only provide an alternative environmentally friendly material but also offer a solution to reduce ceramic waste, contributing positively to sustainable construction.

Dysmenorrhea, which is common in adolescent girls, is a painful menstrual cycle that frequently interferes with daily activities, both in the classroom and in social situations. Dysmenorrhea is a common condition that needs particular care as a reproductive health concern, notably among young people. Both pharmacological and non-pharmacological approaches can be used to treat dysmenorrhea. The use of warm water compresses is a simple, inexpensive, and effective non-pharmacological approach. By increasing blood vessel dilatation, enhancing blood circulation, lowering muscular tension, and lowering pain perceptions, warm water compresses aid in alleviating dysmenorrhea symptoms. The objective of this study is to assess the impact of warm compresses on the severity of dysmenorrhea pain scales in teenage girls at the Buntalo Community Health Center. The design of this trial was pre-experimental, using a one-group pretest-posttest technique. Using a purposive sampling method, a sample of 20 respondents was chosen. The Wilcoxon test was used to conduct the data analysis. According to the data, there was a statistically significant reduction in pain intensity, with a Z value of -4.065 and a p-value of 0.000 (p < 0.05). The average pain scale decreased from 2.95 to 1.80. Based on these findings, it is reasonable to conclude that warm water compresses are helpful in alleviating dysmenorrhea pain in young women. One of the suggestions for non-pharmacological treatments to help alleviate dysmenorrhea symptoms in adolescents is anticipated to be the outcome of this research.

This study aims to describe the implementation of ecobrick activities as an environmentally friendly initiative and as a strategy to enhance fine motor development in early childhood aged 4-6 years in Jatirejo Village, Pasuruan Regency. This research employed a descriptive qualitative approach using observation, interviews, documentation, and hands-on ecobrick practice. The findings indicate that the ecobrick process-which includes collecting plastic waste, washing, drying, cutting, inserting plastic pieces into bottles, and compressing the contents-effectively improves children’s fine motor skills, particularly in hand-eye coordination, finger strength, accuracy, and cutting ability. Children demonstrated positive responses, including high enthusiasm, curiosity, and increased awareness of environmental preservation. The activity also strengthened children’s social development through cooperation, communication, and shared responsibility. Overall, ecobrick activities function not only as an innovative waste-management solution but also as an educational medium that holistically supports child development and instills environmental awareness from an early age.

A research about study of sandstone slope stability using the Bishop Simplified method in Uu Samarinda has been conducted. This study was conducted to analyze the rebound number values of sandstone slopes, evaluate their stability level, and calculate the safety factor using the Bishop method. The results showed that the rebound number values were 22.34 at point 1, 19.83 at point 2, and 18.07 at point 3. The Uniaxial Compressive Strength (UCS) values at the observation points were 1.90 MPa, 1.62 MPa, and 2.21 MPa, respectively. Geological Strength Index (GSI) evaluation indicated a rating of 80–85, demonstrating intact/massive rock structure, fresh and unweathered rock surfaces, and very good rock quality. Based on the Bishop method analysis, the slope factor of safety in 6.525  with a probability of failure is 0.000%, indicating that the sandstone slope in Ulu Samarinda is highly stable even under external pressures such as heavy rainfall or minor earthquakes. This study provides crucial information on the mechanical characteristics and stability of sandstone slopes in ulu Samarinda, which can serve as a reference for technical planning, geotechnical risk mitigation, and the sustainable development of safe areas.

Expansive clay soil is soil that can expand and contract significantly in response to changes in soil moisture content. This study used an experimental method to stabilize expansive clay soil using a mixture of gypsum waste powder, which was tested using the Atterberg test, the Unconfined Compression Strength test, and the California Bearing Ratio test with mixture variations of 0%, 10%, 20%, and 30%. The results showed that the addition of gypsum waste powder could reduce the expansivity level of the soil from a very high level of 42% to a moderate level of 20%, increase the value in the Unconfined test at a maximum mixture of 10%, and increase the value in the CBR test at a maximum mixture of 30%. Based on the above description, this study aims to determine the extent of the effect of gypsum waste powder on expansive clay soil on the bearing capacity and compressive strength of expansive clay soil.  

The oil and gas industry plays a crucial role in meeting global energy needs, with crude oil from production wells being the primary product of upstream operations. Prior to further processing, crude oil requires pretreatment at the production site, one of the key stages being phase separation using a flash separator. This study examines the effect of variations in cooling temperature on the performance of liquid phase separation and energy requirements in the flash separation process of light hydrocarbons. The analysis was conducted through process simulation using Aspen HYSYS version 14.2 with the Peng Robinson property package. The feed stream had a mass rate of 10,000 kg per hour, a temperature of 50°F, and atmospheric pressure, with compositions of ethane, propane, isobutane, and normal butane. The process configuration included compression, cooling, and phase separation in a flash separator at a constant pressure of 50 psia. Variations in cooling temperature were applied at 20, 10, and 0°C. The simulation results indicated a thermodynamic critical point at 10°C. At 20°C, no liquid phase was formed, while at 10°C, significant liquid yield was obtained with moderate energy consumption. Lowering the temperature to 0°C dramatically increases liquid recovery, but the cooling energy requirement also increases sharply. Sensitivity analysis confirms a strong inverse relationship between temperature and condensation yield, as well as a surge in energy consumption at low temperatures. The optimal operating condition is set at 10°C, providing a balance between separation efficiency and energy efficiency in accordance with sustainable manufacturing principles.

Mine disposal materials such as tailings, overburden, and waste rocks are critical components in mining operations that require comprehensive understanding of their geotechnical properties to ensure stability and safety of storage facilities. This literature review aims to analyze the role of particle gradation and mineralogical composition in determining shear strength and compressibility of mine disposal materials, with particular focus on nickel mining. A sistematic literature review method was employed by analyzing 30 scientific publications from 2019-2025 obtained from various academic databases. The review findings indicate that particle size distribution (gradation) has significant influence on shear strength and compressibility, where materials with coarser gradation and higher coefficient of uniformity (Cu) exhibit greater shear strength and lower compressibility. Mineralogy, particularly clay mineral content, increases cohesion and microporosity but also increases compressibility under loose conditions. Studies on nickel mine waste demonstrate that ferronickel slag possesses favorable drainage characteristics suitable for rockfill material, while tailings require strict gradation control. In conclusion, comprehensive characterization integrating gradation parameters (Cu, Cc, D50) with mineralogical analysis (XRD, XRF) is essential for predicting mechanical behavior of mine disposal materials and designing safe storage facilities.

Carpal tunnel syndrome (CTS) is the most common chronic neuropathy of the upper limb, characterized by compression of the median nerve within the carpal tunnel. It typically results from repetitive hand movements or trauma and leads to pain, numbness, and weakness, making it a significant occupational health concern. Increased intracarpal pressure causes venous stasis, edema, and ischemic damage, which slow nerve conduction and are detectable through electrodiagnostic (EDX) studies. Recently, ultrasonographic measurement of the median nerve cross-sectional area (CSA) has been proposed as a noninvasive diagnostic option. This study aimed to evaluate the diagnostic accuracy of ultrasound-based CSA measurement compared with EDX findings in CTS patients. The research was conducted at Al-Imamain Al-Kadhimain Medical City in Baghdad from November 2024 to March 2025 and included 100 patients (200 hands). All individuals underwent both EDX and high-resolution ultrasonography using a 5–13 MHz linear probe, with CSA calculated by the direct tracing method. CTS was confirmed in 102 hands (51%). Affected hands demonstrated significantly prolonged distal motor and sensory latencies, reduced amplitudes, and lower conduction velocities (p < 0.001). Mean CSA was significantly larger in CTS hands (13.75 ± 3.95 mm²) than in non-CTS hands (10.15 ± 3.33 mm², p < 0.001). ROC analysis produced an AUC of 0.776 and an optimal cutoff of 11.5 mm² (72% sensitivity, 76% specificity). CSA also increased with CTS severity. Moderate accuracy was observed when differentiating mild from moderate CTS at a 12.5 mm² cutoff, and moderate from severe CTS. In conclusion, median nerve CSA measurement by ultrasound is a reliable, noninvasive, and rapid tool for diagnosing and grading CTS, complementing EDX assessment.