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Lead (Pb²⁺) is a hazardous heavy metal commonly found in industrial wastewater and poses serious risks to human health and the environment due to its toxic and non-biodegradable nature. Therefore, an effective and environmentally friendly treatment method is required to reduce Pb²⁺ concentration in wastewater. This study aimed to evaluate the effect of pH and initial Pb²⁺ concentration on the adsorption capacity of ramie leaf (Boehmeria nivea) bioadsorbent activated with NaOH. The adsorption process was conducted using a batch system with pH variations of 4, 5, and 7 and initial Pb²⁺ concentrations of 20, 25, and 30 mg/L. The residual Pb²⁺ concentration was analyzed using Atomic Absorption Spectrophotometry (AAS), and the adsorption performance was evaluated based on removal efficiency and adsorption capacity (Qe). The results showed that pH and initial Pb²⁺ concentration significantly affected the adsorption performance. The optimum adsorption condition was obtained at pH 5, with a maximum removal efficiency of 99.20% and a total adsorption capacity of 18.56 mg/g. The increase in pH from 4 to 5 enhanced adsorption performance due to reduced competition between H⁺ and Pb²⁺ ions for active sites on the adsorbent surface. Increasing the initial Pb²⁺ concentration tended to increase adsorption capacity, although removal efficiency remained relatively stable due to the limited number of active adsorption sites. The Relative Standard Deviation (RSD) values ranged from 1.56% to 3.37%, indicating good precision and repeatability of the experimental data. These findings demonstrate that NaOH-activated ramie leaves have considerable potential as an effective, low-cost, and environmentally friendly bioadsorbent for Pb²⁺ removal from wastewater.

Background: Gout arthritis is a metabolic disease caused by excessive uric acid levels in the blood (hyperuricemia), which leads to monosodium urate crystal deposition in the joints. Globally, the prevalence of gout arthritis ranges from 1–4% of the general population. In Indonesia, the national prevalence reaches approximately 7.3% based on medical diagnosis, and in Brebes Regency, cases reach 62.4%. At the Tonjong Health Center service area, the prevalence of gout arthritis in Karanganyar Hamlet, Tonjong Village, reaches 2.04%. Gout arthritis requires comprehensive nursing care including pain management and health education to prevent recurrence. Objective: To implement nursing care for Ny. S, family of Tn. S, with musculoskeletal system disorder: gout arthritis in Karanganyar Hamlet, Tonjong Village, Tonjong District, Brebes Regency. Method: This study used a case study design with a single patient/family subject. Data collection was conducted through interview, observation, physical examination, and study documentation on December 26–27, 2025 at the patient's home. Results: Assessment revealed Ny. S (72 years) experienced acute pain in the right knee joint with a pain scale of 3/10 and uric acid level of 7.3 mg/dL, along with knowledge deficit regarding gout arthritis. Two nursing diagnoses were established: acute pain and knowledge deficit. Nursing interventions included pain management education, non-pharmacological therapy (turmeric decoction), pharmacological therapy (allopurinol), and health education. Implementation was conducted over two visits. Evaluation results showed that acute pain was partially resolved (pain scale reduced to 2/10, uric acid 7.2 mg/dL) and knowledge deficit was resolved. Conclusion: Nursing care for patients with gout arthritis through pain management and health education can reduce pain intensity and improve family knowledge about the disease. Non-pharmacological intervention with turmeric decoction contributed to decreasing uric acid levels and pain. Keywords: gout arthritis, acute pain, knowledge deficit, family nursing care, non-pharmacological therapy

Muscle-invasive bladder cancer (MIBC) is an aggressive malignancy associated with high morbidity, reduced survival, and impaired quality of life. Radiotherapy (RT) has been widely used as a bladder-preserving strategy, particularly for patients unsuitable for surgery or systemic chemotherapy. RT may also enhance tumor immunogenicity through programmed death-ligand 1 (PD-L1) upregulation, providing a rationale for combination therapy with immunotherapy. This study aimed to evaluate the effectiveness of combining immunotherapy and radiotherapy in MIBC treatment. A systematic review was conducted following PRISMA 2020 guidelines using the PICO framework. Literature searches were performed in PubMed, Embase, Cochrane, ClinicalTrials.gov, Web of Science, and Scopus databases for studies published between 2016 and 2025. Risk of bias was assessed using the Cochrane Risk of Bias Tool and ROBINS-I. Of 105 identified studies, five met the inclusion criteria and were included in the final analysis. Only one Phase II randomized controlled trial demonstrated low risk of bias in randomization and allocation concealment. ROBINS-I assessment indicated moderate to serious risk in confounding and participant selection domains. Clinical findings showed promising outcomes, with complete response rates ranging from 35%–50% and partial response rates from 25%–40%. Median overall survival ranged from 24–30 months, with favorable disease-free and progression-free survival outcomes. Combined immunotherapy and radiotherapy demonstrate potential to improve survival and disease control in MIBC; however, further rigorous clinical studies are needed to optimize patient-centered treatment strategies.  

Introduction: Congestive Heart Failure (CHF) is a complex clinical syndrome caused by the inability of the heart to pump blood adequately to meet the body's metabolic demands. This condition may result in dyspnea, edema, activity intolerance, fatigue, and reduced quality of life. Comprehensive nursing care is essential to address patients' needs and improve health outcomes. Methods: This study employed a descriptive case study approach. Data were collected through interviews, observation, physical examination, and medical record review. Nursing care was provided using the nursing process, including assessment, nursing diagnosis, planning, implementation, and evaluation. Results: The assessment of Mrs. T identified four nursing diagnoses: ineffective breathing pattern, hypervolemia, activity intolerance, and knowledge deficit. Nursing interventions included semi-Fowler positioning, fluid balance monitoring, passive Range of Motion (ROM) exercises, and health education. Following two days of nursing implementation, three nursing diagnoses were resolved, namely ineffective breathing pattern, activity intolerance, and knowledge deficit. Hypervolemia was partially resolved due to persistent fluid imbalance. Discussion: The findings indicate that the application of systematic nursing care can improve several clinical problems experienced by CHF patients. However, fluid balance management remains a challenge, highlighting the importance of patient adherence to fluid restriction and continuous monitoring to prevent worsening symptoms.

TPS 3R is a community-based waste management approach aimed at reducing waste generation through reduce, reuse, and recycle activities. However, the operational sustainability of TPS 3R still faces several challenges,including  waste processing effectiveness, and community participation. This study aims to analyze the community’s Willingness to Pay (WTP) for waste management fees and to formulate priority recommendations for improving the performance of TPS 3R Banjar Sugihan using the Quality Function Deployment (QFD) method. The research was conducted in Banjar Sugihan Village, Tandes District, Surabaya City, involving 563 household respondents. WTP analysis was carried out using the bidding game method, while QFD analysis was conducted through the preparation of the House of Quality (HoQ). The results showed that the community’s WTP ranged from IDR 16,000 to IDR 19,000 per month. If applied to all 3,758 households in Banjar Sugihan Village, the potential retribution revenue is estimated to reach IDR 60,128,000–IDR 71,402,000 per month. The QFD analysis indicated that the priority strategies for improving TPS 3R performance include enhancing infrastructure facilities, optimizing waste sorting and processing, increasing waste processing capacity, strengthening human resource capacity, and implementing a WTP-based retribution system. Therefore, the implementation of a WTP-based retribution system and priority strategies derived from QFD analysis are expected to support the sustainability of waste management at TPS 3R Banjar Sugihan.

Rapid population growth in Sidoarjo Regency has triggered massive land-use changes, resulting in increased surface runoff and reduced performance of the drainage system. This study aims to evaluate the hydraulic capacity of drainage channels in the Pondok Sidokare Indah Housing area against design flood discharges with return periods of 2, 5, and 10 years. The method used is a descriptive quantitative approach, involving hydrological analysis using maximum daily rainfall data from 2015–2025 and hydraulic modeling of the existing channel along 350 meters. The frequency analysis results indicate that the Log Pearson Type III distribution is the most suitable method based on statistical parameters and the Smirnov-Kolmogorov goodness-of-fit test. The calculation of design flood discharge using the rational method yields values of 0.749 m³/s (2-year), 1.003 m³/s (5-year), and 1.164 m³/s (10-year). Meanwhile, the maximum capacity of the existing channel ranges only between 0.534 m³/s and 0.733 m³/s. The comparison between hydrological load and channel capacity shows that all observation points (Sta 0+000 to Sta 0+350) are in overflow condition, even for the lowest return period flood discharge. This condition confirms that the current channel dimensions are no longer adequate and require normalization to mitigate annual flooding in the area.

This research is motivated by the problems in manual attendance systems at schools, which remain vulnerable to fraud, time-consuming, and inefficient. The expected solution is to develop an automated attendance system based on face recognition that can operate in realtime with high accuracy. The research object is vocational high school students, with the applied method implementing the YOLO v10 algorithm for face detection, followed by the face_recognition library for identification. The instruments used include an Imou CCTV camera as the input device, a mid-range laptop as the hardware platform, and Python with SQLite as the software environment for data processing and attendance storage. The results show that the developed system achieved an average face detection accuracy of 96% under normal lighting and 91% under low lighting, with an average processing speed of 27 FPS. The implementation of an anti-duplication feature also ensured data validity by allowing each student to be recorded only once per day. In conclusion, the use of YOLO v10 in face-based attendance proved to be effective, efficient, and capable of reducing fraud. The implication of this study is that the system can be applied in both Islamic boarding schools and general schools as a modernization of attendance systems, with a recommendation for further development through web-based application and cloud database integration.

Hydroponic cultivation of mustard greens (Brassica juncea L.) in greenhouses is an effective alternative for overcoming land limitations, particularly in urban areas. Hydroponic systems enable plants to obtain nutrients optimally through the application of the Nutrient Film Technique (NFT) and Deep Flow Technique (DFT), thereby promoting more efficient plant growth. In addition, the success of hydroponic mustard cultivation is influenced by environmental control, including temperatures ranging from 15–35°C and relative humidity levels of 70–90%. Plant nutrient requirements are supplied through an AB Mix nutrient solution with a pH range of 5.5–6.5 and an electrical conductivity (EC) value of 1.5–3.0 mS/cm. This review aims to analyze various factors affecting the growth of hydroponic mustard greens, including nutrient management, environmental conditions, and biological pest and disease control using beneficial agents such as Trichoderma and Bacillus. Furthermore, this study discusses several technical and economic challenges that may influence cultivation success. The findings indicate that hydroponic systems can significantly improve crop productivity and yield quality, reduce the use of chemical pesticides, and support the implementation of sustainable and environmentally friendly urban agriculture in Indonesia.

This study was conducted based on the crucial role of diesel generator engines as the primary source of electrical power on board ships, making their operational reliability essential. One of the factors influencing generator engine performance is lubricating oil temperature. Excessive lubricating oil temperature may reduce lubrication effectiveness, increase friction between moving components, and lower engine efficiency. Therefore, this research aimed to identify the causes of high lubricating oil temperature in diesel generator engines and determine appropriate corrective actions. The study employed a descriptive quantitative approach. Data were collected through direct observation, interviews, and documentation during sea practice aboard MV. CL FLANDERS from 4 July 2024 to 5 July 2025. The data were analyzed using simple linear regression to examine the relationship between generator load and lubricating oil temperature. The findings revealed that generator load had a significant effect on the increase in lubricating oil temperature. Under normal operating conditions, the lubricating oil temperature ranged from 60°C to 72°C, while under abnormal conditions it increased to between 68°C and 81°C. The abnormal rise in temperature was mainly caused by cooling system problems, particularly a dirty LO cooler, scale deposits on the sea water pump impeller, and blockage in the cooling capillary pipes. The regression equation under normal conditions was Y = 45 + 0.30X, whereas under abnormal conditions it was Y = 53.5 + 0.30X. Elevated lubricating oil temperature resulted in lower oil viscosity, higher fuel consumption, and reduced diesel generator engine performance. Therefore, regular maintenance of the LO cooler, sea water pump, and continuous temperature monitoring are necessary to maintain optimum engine performance.

Physical mobility is highly influenced by the integrity of the musculoskeletal and neuromuscular systems, which play a fundamental role in facilitating body movement. Impairment in these systems, such as muscle weakness, limited joint range of motion, pain, or injury, may lead to decreased physical movement and functional limitations. This case study aimed to describe the implementation of joint strengthening exercise techniques in a patient with impaired physical mobility at RSUD Bayu Asih Purwakarta. Joint strengthening exercise techniques, as a nursing intervention, may improve joint flexibility and enhance physical mobility. This study employed a case study design using a comprehensive nursing care approach. Assessment findings revealed decreased extremity movement, reduced muscle strength, and limited joint range of motion. The nursing diagnosis established was impaired physical mobility. Nursing interventions were implemented through joint strengthening exercise techniques over three days in two sessions. Evaluation findings demonstrated partial improvement in extremity movement, muscle strength, and joint range of motion. The implementation of joint strengthening exercise techniques contributed to improved patient mobility; however, the problem of impaired physical mobility was not fully resolved, as the outcome indicators remained at scores of three to four, below the expected target score of five.

Suspicious urban sound recognition is a critical component of intelligent public safety and urban monitoring systems, enabling the automated identification of anomalous acoustic events such as gunshots, sirens, and other security-sensitive sounds. However, existing deep learning approaches often struggle to simultaneously capture long-range temporal dependencies and global contextual relationships, particularly under noisy and acoustically complex urban conditions. This limitation can reduce reliability in safety-critical scenarios where missed detections carry significant risk. To address these challenges, this study proposes a Multi-Branch Bidirectional Long Short-Term Memory (BiLSTM) framework with Multi-Head Self-Attention (MHSA) for enhanced sequential and contextual feature modeling. Mel-frequency cepstral coefficients (MFCCs) are extracted from a curated subset of the UrbanSound8K dataset, comprising five suspicious sound classes, and used as input to the proposed architecture. The multi-branch design enables complementary temporal representations, while the self-attention mechanism provides lightweight contextual weighting of BiLSTM outputs. Experimental results demonstrate that the proposed model achieves a test accuracy of 95.59%, outperforming conventional Dense and LSTM-based baseline models under identical experimental settings. An ablation study further confirms the contribution of multi-branch integration and attention-based enhancement to overall performance. Class-wise evaluation reveals consistently high recall across all sound categories, particularly for safety-critical classes such as gunshots and sirens. These findings indicate that the proposed framework provides robust and reliable performance, making it suitable for real-time smart city surveillance and public safety applications.

Burnout among nurses is a serious problem that can reduce the quality of nursing services and the well being of nurses. Work motivation and self efficacy are psychological factors that play an important role in reducing burnout. The aim is to minimize the occurrence of burnout among nurses in their performance.The purpose of this study is to determine the significance of the relationship between work motivation and self efficacy with the level of burnout among nurses. This research is quantitative in nature with a cross-sectional approach. Data collection was conducted using questionnaires administered to 98 respondents from the total population. The instruments used included a work motivation questionnaire (ERG), a general self-efficacy scale (GSES), and a Maslach Burnout Inventory (MBI). The data collected was processed using Spearman's test and ordinal logistic regression. Results researchers found that respondents who reported high work motivation numbered 89 respondents with a percentage of (90.8%), self-efficacy among nurses also showed a high category in 90 respondents with a percentage of (91.8%), and the majority of burnout levels were in the low category range of 65 respondents with a percentage of (66.4). Statistical tests showed a relationship between work motivation and burnout levels with a p-value of 0.000 (a = -0.358), and showed that there was a relationship between self-efficacy and burnout levels with a p-value of 0.013 (a = -0.250). Furthermore, multivariate statistics found that work motivation was the dominant factor influencing burnout with a p-value of 0.012 (E = -2.030). Conclusion there is a significant relationship between work motivation and self-efficacy with the level of burnout among nurses. Nurses with high work motivation and self-efficacy tend to have lower levels of burnout. Work motivation is a dominant factor in influencing burnout.

This study aims to analyze the development of studies on the use of biomass as a renewable energy source to support national energy security using a bibliometric approach. Research data were obtained from the Scopus, Web of Science, and Google Scholar databases with a publication range of 2015-2025. The analysis was conducted using VOSviewer and Biblioshiny. The results show a significant increase in publication trends in the last decade, especially in the period 2016-2024, reflecting the increasing academic attention to biomass as a solution in the energy transition. Keyword visualization shows that biomass is closely related to concepts such as combustion, thermal efficiency, calorific value, and pelletizing. China is the country with the highest publication contribution, while Indonesia is strategically positioned due to its abundant biomass waste potential. Overall, biomass has great potential to support energy diversification, reduce dependence on fossil fuels, and strengthen national energy security in a sustainable manner.

Post section caesarea (SC) and method of operative female sterilization (MOW) are surgical procedures that may cause various problems, such as pain, limited mobility, decreased muscle strength, and risk of postoperative complications. Physiotherapy management through exercise therapy is an important intervention to accelerate the recovery process. Objective this study aimed to determine the effectiveness of exercise therapy in improving the functional condition of patients post SC and MOW in Annisa Ward 32 A at PKU Muhammadiyah Karanganyar Hospital. Method: used was a case report on a 33-year-old female patient following SC and MOW procedures. The physiotherapy interventions included deep breathing exercises, active range of motion exercises of the extremities, light abdominal muscle contractions, gradual early mobilization, as well as breast massage and oxytocin stimulation. The results showed a reduction in pain from a scale of 4–5 to 2–3 based on the Numeric Rating Scale (NRS), improvement in mobility such as independent position changes, and increased activity tolerance, including sitting and walking with minimal assistance. In addition, the patient showed increased confidence in performing daily functional activities. Conclusion: exercise therapy has a positive effect on improving mobility, reducing pain, and accelerating functional recovery in post SC and MOW patients. Therefore, exercise therapy is recommended as an essential component of postoperative physiotherapy management to improve patients' quality of life.

The coal mining industry requires accurate stockpile volume measurements for inventory and production reporting. Conventional methods have limitations in accuracy, efficiency, and safety. This study compares the accuracy and efficiency of coal stockpile volume measurements using a Terrestrial Laser Scanner (TLS) Leica MS60 and an Unmanned Aerial Vehicle (UAV) DJI Matrice 4E, validated by the ASTM D6172-98 standard. Conducted on five Run of Mine (ROM) coal stockpiles covering 13,500 m² at PT XYZ, Lahat, South Sumatra, the TLS method used 43 scan positions, while the UAV employed 430 aerial images with specific flight parameters. Data were processed using Leica Infinity, Surpac, and Agisoft Metashape. The results showed volumes of 94,076 m³ (TLS) and 94,965 m³ (UAV), with a difference of 889 m³ (0.95%). Volume deviations ranged from 0.48% to 1.89%, with an average of 1.42%, all within the ASTM tolerance (<2%). Time efficiency analysis revealed that the UAV method required 200 minutes (3.33 hours), saving 63.3% (approximately 6.17 hours) compared to the TLS method (570 minutes). The largest efficiency gain occurred during field data acquisition, with an 85% reduction in time. This study confirms UAV photogrammetry as a valid, accurate, and efficient alternative for coal stockpile volume measurement in mining.

Background: Knee osteoarthritis is a degenerative joint disease that often occurs in the geriatric population and causes pain, limited movement, and decreased function. In advanced conditions, management is carried out with Total Knee Replacement (TKR). However, post-surgery patients still experience functional limitations so that physiotherapy intervention is needed. Objective: To determine the effectiveness of static bicycle and quadriceps strengthening exercises on pain, range of motion, muscle strength, functional mobility, and quality of life in post-TKR patients. Methods: This study used a case study design in one patient with post-TKR dextra et causa bilateral knee osteoarthritis. The intervention was given for 3 weeks with a frequency of 2 times per week. Evaluation was carried out using the Numeric Rating Scale (NRS), goniometer, Manual Muscle Testing (MMT), Timed Up and Go Test (TUG), and the Knee Osteoarthritis Outcome Score (KOOS). Results: Results showed a decrease in motion pain from NRS 6 to 4 and stationary pain from 3 to 2. Knee range of motion increased from 75° to 90° of flexion and from -5° to 0° of extension. Muscle strength increased from MMT 3 to 4 in the quadriceps muscle. Functional mobility also improved, with TUG time decreasing from 22 seconds to 18 seconds. However, the KOOS score remained relatively unchanged at 38.84. Conclusion: Static bicycle and quadriceps strengthening exercises were effective in reducing pain, increasing ROM, muscle strength, and functional mobility in post-TKR patients. However, the improvement in quality of life as measured by the KOOS was not significant, requiring a longer rehabilitation period.

Frozen  shoulder or adhesive capsulitis is a chronic condition that causes pain and limited movement in the shoulder joint. Intervention in the early phase (freezing stage) is crucial to prevent more severe functional disabilities, especially in the elderly population. This case study was conducted on a 60-year-old female patient with complaints of pain and stiffness in the right shoulder for one month. Clinical assessment was conducted using the Numeric Rating Scale (NRS) for pain, Manual Muscle Testing (MMT) for muscle strength, goniometry for joint range of motion, and the Shoulder Pain and Disability Index (SPADI) for functional ability. The therapy program was administered in three intervention sessions. After undergoing three therapy sessions, there was a significant reduction in pain intensity, where movement pain decreased from a score of 7 to 5 and pressure pain from 5 to 2. Muscle strength improved from a value of 3 to 4 on the MMT scale. Additionally, the total SPADI score decreased from 66.1% to 50%, indicating an improvement in the patient's functional capacity in daily activities. The multimodal physiotherapy approach has proven effective in reducing pain, increasing muscle strength, and improving shoulder function in elderly patients with early-stage frozen  shoulder. The combination of electro-physical modalities and manual therapy provides more comprehensive clinical outcomes compared to single interventions.

Social interaction is an important part of students' lives, especially in the school environment and socializing with peers. In the process of this interaction, verbal bullying behavior often appears which is often considered a form of joke or a natural thing. In fact, verbal bullying can have a quite serious psychological impact on students who experience it. This study aims to examine various forms of verbal bullying that occur in social interactions in students and analyze the psychological impact it causes. This study uses a literature review method by analyzing various scientific sources in the form of research journals, scientific articles, and relevant books published in the range of 2016–2026. The results of the study show that verbal bullying in students can appear in various forms, such as mockery of physical or ability, insults, the use of harsh words, yelling, and humiliation in front of others or the general public. Various studies have also shown that these behaviors are influenced by the factors of the friendship environment, lack of emotional control, and excessive joke culture among students. The psychological impact caused includes decreased self-confidence, the emergence of feelings of sadness, anxiety, stress, and a tendency to withdraw from the social environment. Therefore, attention from various parties, especially the school and family environment, is needed to prevent and reduce the occurrence of verbal bullying so that students' psychological development can take place in a healthy manner.

Aggressive behavior is one of the manifestations commonly found in individuals with mental disorders, and this can potentially cause harm both to themselves and to their surroundings. To address this condition, one non-pharmacological approach that can be implemented is the use of Mozart classical music therapy. This study aims to evaluate the impact of Mozart classical music therapy on patients who have the potential to exhibit violent behavior at Aceh Mental Hospital. The research activities were conducted from July 2 to 5, 2025. The research design adopted in this study is pre-experimental using the One group pretest-posttest Design method. The study subjects consisted of 15 inpatients who had been identified as being at risk for violent behavior, with sample selection carried out through purposive sampling. The findings of the study showed that the average score of signs and symptoms before the intervention was 5.73, with a score range of 3 to 8. After the intervention in the form of Mozart classical music therapy, the average score of signs and symptoms decreased significantly to 1.60, with a range between 1 and 2. Statistical analysis using the Wilcoxon Signed Rank test showed a Z value of -3.437 with a significance level of P = 0.000 (P < 0.05). Based on these results, it can be concluded that Mozart classical music therapy has a significant effect in reducing the risk of violent behavior in patients. Therefore, Mozart classical music therapy is recommended as an effective supportive intervention and can be routinely integrated into psychiatric care rooms.

This study aims to design and develop a functionally efficient and operationally effective Internet of Things (IoT)-based air quality monitoring system for radiology departments. The system utilises a DHT22 sensor integrated with an ESP32 microcontroller to monitor the temperature and humidity of diagnostic rooms in real time, and to display the data via the UdaraKu mobile application. The research method employed a quantitative experimental approach focused on measuring system performance, specifically the accuracy of the temperature and humidity sensors. The research model used was the Research and Development (R&D) method, aimed at transforming conventional air quality monitoring in radiology into a real-time digital system based on IoT. The research results indicate that the IoT-based monitoring system is capable of maintaining room temperature and humidity stability within the ideal range, namely 22–24°C and 50–60% RH, in accordance with international standards. This improvement in environmental stability has a direct impact on reducing noise in digital radiography images, as evidenced by an increase in the Signal-to-Noise Ratio (SNR). Instrument validation demonstrated a high level of reliability with a Cronbach’s Alpha value of 0.848, reinforcing the reliability of the data and the system. Overall, the IoT-based air quality monitoring system has proven effective in controlling noise in digital radiography images, improving the quality of diagnostic services, and supporting patient safety principles and operational efficiency within radiology departments.