Background: Neonatal organ injuries significantly exacerbate the burden of neonatal death and disability. This study investigates sex-specific risk factors and patterns of neonatal organ injuries, taking into account both clinical and maternal factors. Methods: We conducted a retrospective analysis of 155 mother-infant pairs admitted to Sichuan Provincial Maternity and Child Health Hospital (2020-2022). Univariate and multivariate analyses, including restricted cubic spline models, were performed to identify risk factors. Sex-specific subgroup analyses and correlation studies of organ injuries were also conducted. Results: Key results revealed distinct sex-based predictors. For male neonates, gestational age (OR=1.41, 95% CI: 1.13-1.87, P=0.007) and birth weight (OR=1.00, 95% CI: 1.00-1.00, P=0.008) were significantly associated with organ injury risk. For female neonates, initial C-reactive protein levels showed a significant association (OR=1.14, 95% CI: 1.01- 1.31, P=0.045). Strong correlations were found between various types of brain injuries, with cerebral infarction showing high co-occurrence with hemorrhagic injuries (OR range: 60.77-117.81, P<0.001). Conclusion: Our findings highlight the importance of sex-specific approaches in neonatal care and risk assessment. The complex interplay between different organ injuries, particularly in the brain, underscores the need for comprehensive monitoring strategies in neonatal intensive care units. These results provide a foundation for developing targeted preventive measures and individualized care protocols.

Background: Colorectal cancer (CRC) is a major global health problem. In the Western Pacific Region, its incidence is rising, especially among the elderly. Metabolic risk factors like high fasting plasma glucose (FPG) contribute to CRC burden, yet no study has explored this in the western pacific region's elderly. Also, the relationship between CRC and human resources for health (HRH) in this region is unknown. Methods: Analyzed CRC burden due to high FPG in 31 western pacific region countries by Global Burden of Disease Study 2021, including trends, age-specific trends, SDI correlations, decomposition analysis, and HRH-burden relationship. Results: In 2021, China had the highest CRC burden related to high FPG, Tokelau the lowest. From 1990-2021, the burden increased significantly in most countries. In most countries, the burden of disease is highest in people aged 60-69 years, with the most rapid increase in those aged 95 years and older. The correlation with SDI weakened over time. Population growth was the main driver of burden increase. Overall HRH density showed a positive correlation with CRC burden, with the greatest associations found in “Aides & Emergency Medical Workers” and “Nursing & Midwifery Professionals.” Conclusions: The CRC burden due to high FPG in the western pacific region's elderly has increased. Factors like population growth, epidemiological changes, and aging play roles. The complex relationships with SDI and HRH offer insights for public health policies. These findings underscore the urgent need for integrated public health strategies targeting metabolic risk factor control in the elderly, alongside critical evaluation and optimization of health workforce deployment and roles to effectively address the rising CRC burden in the region.

Background: Heart failure (HF) is a leading cause of morbidity and mortality in intensive care units (ICUs). While echocardiography is routinely used for prognosis, critical predictors distinguishing survivors from non-survivors remain poorly defined across diverse clinical settings. Machine learning (ML) offers potential to improve risk stratification by identifying key mortality determinants. Methods: In this retrospective study, we analyzed data from two large ICU databases: MIMIC-IV and eICU. Adult patients (>18 years) with HF who underwent echocardiographic evaluation during their ICU stay were included. After feature selection using the Boruta algorithm, we developed and compared 17 ML models to predict in-hospital mortality, including Random Forest (RF), Extreme Gradient Boosting (XGBoost), Logistic Regression (LR) and others. Models were internally validated on a test subset of MIMIC-IV data and externally validated on the eICU cohort. Model performance was assessed using the area under the receiver operating characteristic curve (AUC), sensitivity, specificity, and decision curve analysis (DCA). SHapley Additive exPlanations (SHAP) was applied to identify and rank key mortality predictors. Results: A total of 3,485 patients were included, with 2,738 from the MIMIC-IV database and 747 from the eICU database. Thirty-two potential predictors were identified through screening using the Boruta algorithm. Receiver operating characteristic (ROC) curves analysis showed that the RF model consistently demonstrated superior performance across all validation sets and achieved the highest AUC (0.940) in the combined MIMIC-IV and eICU datasets. SHAP algorithm analysis revealed that the clinical features with the greatest impact on model outputs were SAPS II score, OASIS score, SOFA score, age, white blood cell count within the first 24 hours, and first 24-hour blood urea nitrogen. Clinical interpretability analysis indicated that the positive contributions (SHAP values) of these features were 0.115, 0.090, 0.084, 0.046, 0.035, and 0.015, respectively, demonstrating the model's good granularity and transparency in individualized prediction. Conclusions: This study compared 17 prediction models, among which the RF model demonstrated the best predictive performance for mortality in HF patients within the ICU, and may assist clinicians in identifying and managing high-risk HF patients.

Background: Periodontal disease is a widespread and severe public health issue globally. Using the latest data from Global Burden of Disease Study (GBD) 2021, this study conducted a systematic analysis of the burden of periodontal disease in China and worldwide from 1990 to 2021. Methods: Data on number and age-standardized rates (ASR) of periodontal disease were extracted from GBD 2021 and stratified analyzed by gender, age group, and geographic location (China and globally). Temporal trends were assessed using joinpoint regression analyses, while the Bayesian age-period-cohort model with nested Laplace approximation was applied to predict the disease burden by 2035. Results: Compared to 1990, the incidence number of periodontal disease in China and globally increased by over 70% in 2021, while prevalence and disability-adjusted life years numbers increased by more than 90%. The ASR of periodontal disease burden decreased in China but increased globally. In terms of age distribution, the burden of periodontal disease initially increased and then declined with age; from 1990 to 2021, the age peak of certain burden-related indicators shifted to older age groups. Concerning gender distribution, the burden was higher among younger and middle-aged men, whereas in women, the burden among middle-aged and elderly populations gradually surpassed that of men. By 2035, the burden of periodontal disease is expected to increase further. Conclusion: Our findings indicate that the burden of periodontal disease continues to rise, which is associated with global population growth, lifestyle and dietary changes, and aging.

Background: Asthma is a common chronic inflammatory airway disease. This study assessed the disease burden of asthma in China and globally from 1990 to 2021 and predicted future trends, aiming to provide a evidence for prevention and control strategies. Methods: Using the GBD database, a descriptive analysis of asthma burden data was conducted in China and globally, covering the changing trends of incidence, prevalence, mortality and disability-adjusted life years (DALYs), as well as the distribution characteristics in terms of age and gender. Joinpoint regression analysis was employed to further explore the epidemiological characteristics, and eight machine learning algorithms were fitted to predict the future trends. Results: From 1990 to 2021, the overall burden in both China and globally decreased. However, the global number of deaths increased by 16.51%. In terms of age, children, adolescents, and the elderly (≥60 years) all faced an extremely high burden. Regarding gender, the burden on males in most age groups in China was higher than that on females, while the pattern was reversed globally. Among the eight algorithms, the Autoregressive Integrated Moving Average algorithm performed the best. Predictions show that by 2050, the age-standardized rate of incidence, prevalence, and DALYs of asthma globally will show an upward trend, while the age-standardized mortality rate will decline. In China, the situation is contrary to that of the global trend. Conclusion: Over the past 32 years, although the asthma burden in China and globally has declined, the burden remains substantial. This study recommends strengthening attention to asthma management in children, adolescents, the elderly, and women during critical life stages, optimizing healthcare resources, enhancing international cooperation, and increasing investment in increasing investment in resource-limited regions to alleviate the asthma burden.

This study aimed to assess the potential of Commiphora Myrrha (C. Myrrha) extracts (methanol, aqueous, and petroleum ether) as well as their chemical characteristics and medicinal applications. Also, to evaluate antimicrobial, anti-inflammatory, antioxidant, and anti-cancer activity. The chemical structure of C. Myrrha extracts constituents were compounds such as gamma-Terpinene, heerboresene, campesterol, keto steroids, βsitosterol, 3-epi-α-amyrin, α-amyrone, commiferin, commiphorinic acid, and different commiphoric acids. Methanol extract of C. Myrrha showed higher activity than aqueous and oil against microbial organisms. It shows zone inhibition against Candida albicans (15 mm), Aspergillus niger (16 mm), Staphylococcus aureus (15 mm), and Pseudomonas aeruginosa (15 mm). The reason is the presence of phenolic, germacrene D, and pcymene compounds. It has been noticed that phytochemical screening tests of methanolic and aqueous extracts of C. Myrrha are rich in terpenoids and tannins (+3), flavonoids, saponins, and steroids (+2), and alkaloids and cyanogenic glycosides in both extracts are not present. The approximate analysis shows that the methanolic and aqueous extracts demonstrate moisture content (25.33-75.35%), ash (2.20-3.30%), crude protein (8.01- 8.30%), ether extract (3.02-5.35%), crude fibre (10.09-11.00%), and none free extract (4.50-3.50%), respectively. The standard inhibitory activity against colon carcinoma cells was detected with different concentrations (100, 50, 25, 12.5, 6.25, & 3.125 µl/100 µl) with IC50 = 13.19±0.63 µl/100 µl. methanolic and aqueous extracts of C. Myrrha in concentrations (100, 50 µl) induce apoptosis (99.03, 93.86), respectively, and inhibit the proliferation and migration of gastric cancer cells through down-regulating cyclooxygenase-2 expression. The reason is the presence of the furano-sesquiterpene compound. in which, the inhibition percentage of the heat-induced hemolysis of RBCs membrane in the case of aqueous extract is low (58.2%), as for methanol extract is high (95.8%) compared to the standard drug Aspirin (97.4%). Antioxidant activity of aqueous and methanol extracts of C. Myrrha against DPPH radical scavenging activity obtained by dose sample with IC50 = µl/ 1000 µl, were (78.5%) and (98.2%), respectively.

Background: Acute respiratory failure (ARF) is a common and severe condition in the intensive care unit (ICU) with a poor prognosis. Transthoracic echocardiography (TTE), a noninvasive and reproducible imaging modality, offers unique advantages for assessing cardiac function and hemodynamic status. However, its impact on outcomes in ARF patients remains unclear. Methods: In this retrospective study using the MIMIC-III database, 3,697 adult patients with ARF were analyzed. Patients were stratified into a TTE group (n = 1,996) and a non-TTE group (n = 1,701) based on whether TTE was performed. To reduce baseline imbalances, we employed propensity score matching (PSM), multivariable logistic regression, inverse probability of treatment weighting (IPTW), and doubly robust estimation to evaluate the association between TTE use and 28-day mortality, as well as secondary outcomes such as duration of mechanical ventilation, vasopressor use, and fluid management. Sensitivity analyses were also conducted. Results: Prior to matching, the TTE group exhibited significantly higher Simplified Acute Physiology Score (SAPS) and Sequential Organ Failure Assessment (SOFA) scores, as well as higher proportions of patients receiving mechanical ventilation and vasopressors, indicating more severe illness compared to the non-TTE group. After PSM, the groups were well-balanced in terms of age, gender, service unit, and key interventions (standardized mean differences < 0.2). Across all statistical models, TTE use was consistently associated with a significant reduction in 28-day mortality (e.g., OR = 0.67, 95% CI: 0.55–0.81, p < 0.001 in the PSM analysis; OR = 0.56, 95% CI: 0.39–0.79, p < 0.001 in the multivariable logistic regression). Sensitivity analyses confirmed these findings. Conclusion: The use of TTE in ARF patients appears to be independently associated with a significant reduction in 28-day mortality, potentially by enabling more precise and timely therapeutic interventions through comprehensive hemodynamic assessment. Future prospective, multicenter studies are warranted to validate these findings and further explore the role of TTE in optimizing clinical management and resource allocation in this high-risk population.

Background: The global burden of low bone mineral density (LBMD) in older adults represents a critical public health concern due to its association with increased disability and mortality. This study provides a comprehensive analysis of LBMD trends and disparities from 1990 to 2021, with future projections. Methods: Data were obtained from the Global Burden of Disease (GBD) 2021 study. Trends in disability-adjusted life years (DALYs), mortality, age-standardized DALYs rate (ASDR), and age-standardized mortality rate (ASMR) were assessed across regions, genders, and sociodemographic index (SDI) levels. Annual percent changes (EAPCs) were calculated to quantify trends. 8 time-series machine learning algorithms were applied to predict the global trends to 2050. Results: In 2021, global DALYs and mortality due to LBMD were 11.87 million and 377,746 respectively, increasing since 1990. Women's burden was nearly twice that of men, though men's growth was more pronounced. ASDR and ASMR showed downward trends, yet ASMR's reduction was insignificant. Medium SDI regions had higher growth, while low SDI endured a heavier burden. High SDI countries had a heavier DALY burden, low SDI ones higher mortality risk. Among different age groups, ages 95+ had highest ASDR/ASMR and largest increments. Projections indicate absolute numbers will rise. Conclusions: Despite a decline in ASDR, LBMD-related mortality remains a pressing concern due to insufficient reductions in ASMR. Regional and gender-specific disparities underscore the need for targeted interventions, particularly in low and middle SDI regions. Enhanced prevention and management strategies are essential to mitigate the rising global burden of LBMD.

Background: Type 2 diabetes mellitus (T2DM) is a metabolic disorder that significantly impacts women's reproductive health. Therefore, this study utilizes the latest Global Burden of Disease (GBD) data to comprehensively assess the burden of T2DM among women of reproductive age (WRA) worldwide from 1990 to 2021. Methods: Data on T2DM incidence, prevalence, disability-adjusted life years (DALYs), and mortality among WRA were extracted from the GBD database for 1990–2021. Global, regional, and age-specific trends were analyzed using percentage changes and estimated annual percentage changes. The Spearman correlation test examined the relationship between the Social Development Index (SDI) and disease burden indicators. Future trends were projected using Bayesian Age-PeriodCohort and Nordpred models. Results: From 1990 to 2021, the global burden of T2DM among WRA rose substantially, with incidence, prevalence, DALYs, and deaths increasing by 201%, 251%, 181%, and 90%, respectively. Age-standardized incidence rates (ASIR), prevalence rates (ASPR), and mortality rates (ASDR) also exhibited significant upward trends. Low-SDI regions experienced the highest growth in absolute numbers, while high-SDI regions saw the greatest increases in ASIR, ASPR, and ASDR. Agestratified analysis indicated a pronounced rise in burden with advancing age. Projections suggest a continued increase in the global T2DM burden among WRA by 2040. Conclusions: The global burden of T2DM among WRA has increased significantly from 1990 to 2021, with this trend expected to further worsen in the coming years. It is imperative to strengthen relevant management measures to address this severe health challenge.

This exploratory study uses PRISMA and current evidence to examine auditors' perceptions on blockchain technology. The project will analyze literature to determine the benefits, drawbacks, and effects of integrating blockchain technology into audit practice. Secondary data analysis reveals that blockchain's immutable and auditable records primarily enhance audit transparency and correctness. The results indicate that widespread acceptance is conceivable despite technological complexity, implementation costs, and regulatory concerns. The literature also suggests that blockchain can reduce fraud and errors; however, this requires a significant shift in audit methodology at large scales and alignment with regulators to implement regulatory compliance and standardization. This report consolidates auditors' current impressions of blockchain and highlights key areas that require attention for successful adoption. This research can help auditors, policymakers, and researchers prepare for future blockchain technology auditing studies and practical actions. This study used a systematic review, analysis, and synthesis of current papers to show why auditing is going through one of those transformative moments for blockchain technologies. It showed how much blockchain can transform audits, but it also reminded us that strategic planning and regulatory support are needed to face these issues head-on.

For today vehicles, ride comfort and dynamic control, are crucial criteria for customers and also for the selection of an appropriate vehicle. Tractors as vehicles are exposed to random vibrations caused by unevenness of road or soil profile, moving elements within the tractor or implements, while setting on a rigid seat without a backrest. Whole-body vibration transmission influences comfort, performance, and long-term health of the operator. This current study is to evaluate and controlled an agricultural tractor whole-body vibration comfort efficiency, which constitutes one aspect of the physical environment that can cause discomfort to operators, based on standard mathematical formulae and frequency analyses. A gravel road texture was selected and used. To assess vibrations transmitted to the operator, vibration dose values, kurtosis, international road roughness index and power spectral densities of the tractor (seat and floor) recorded signals were evaluated. Seat Effective Amplitude Transmissibility values based on the tractor seat pan vibration dose value (controlled and uncontrolled) outputs in the three-direction lateral, longitudinal and vertical) qualify vibration comfort efficiency. Tri-axial accelerometers were usually mounted on the tractor seat pan and floor. Data are frequency weighted in order to model the human response to vibration in that location and direction.

Bridges of all types are an essential part of infrastructure systems; they play an important role in the economic and social aspects and are of a great importance when an earthquake occurs, since they provide emergency response and rescue operations. Therefore, bridges vulnerability assessment has been a major focus in earthquake research. \nThe present paper consists of a comparison study between two different popular types of bridges in Algeria that are the Multi-Span Simply Supported (MSSS) and Multi-Span Continuous (MSC) reinforced concrete girder bridges. For this purpose, three-dimensional nonlinear finite elements models were performed and seismic fragility curves of the later were developed using nonlinear time history analyses. \nThe comparison of the obtained results shows that the MSSS is more vulnerable than the MSC concrete girder bridge at all damage states where the fixed bearings present the most fragile components in both types of studied bridges. These results deal with the reality of such existing bridges behavior during past earthquakes, which means that the structure continuity increases the seismic resistance of a bridge and reduces seismic risk.

The industry of oil and gas (O&G) suffers from delay to get enough information about equipment in case of maintenance and delay in communication between stakeholders. With the highly increasing of the data of oil and gas (O&G) industry the concept of Internet of Things (IoT) become a must to be applied to sense and monitor every area of O&G operations. The proposed system aims to solve the problems that faces the oil and gas (O&G) industry by allowing stakeholders to get much information about the (O&G) operation. The system helps in preventing the loss of money from the lack of unavailable information. Also the system helps in improving and developing the operation of maintenance procedure to get a high quality of service.

Wireless Sensor Network assumes an imperative part to monitor and gather information from complex geological ranges. Energy conservation plays a fundamental role in WSNs since such sensor network is designed to be in non-accessible areas and has gained popularity since the last decade. The main issue of Wireless Sensor Network is energy consumption. Therefore, management of energy consumption of the sensor node is the main area of our research. Generally, Sensor nodes use non-changeable batteries for power supply and the lifetime of Sensor node greatly depends on these batteries. The replacement of these batteries is very difficult in many applications and an alternative solution to this problem is to use Energy Harvesting system in Wireless Sensor Network to provide a permanent power supply to sensor nodes. This process of extracting energies from the nature and converting it into electrical energy is called energy harvesting. Energy can be harvested from the environment for sensor nodes. There are many sources of energies in nature like solar, wind, thermal etc. which can be harvested and used for WSNs. In this research we suggest using energy harvesting system for Cluster Heads in a clustering based Wireless Sensor Networks. We will compare our proposed technique to a well-known clustering algorithm, Low Energy Adaptive Cluster Hierarchy (LEACH).

This study gives complete convention to orderly production of computerized information on tyrosinase creating microorganisms secluded from soil. Three bacterial tyrosinase were identified using 16S rRNA gene sequencing method. The assembled 16S rRNA sequences were used to create digital data of given sequences. These include the Quick Response (QR) codes, Chaose Game Representation (CGR), Chaose Game Representation (FCGR) of Frequency and Principal Component Analysis (PCA). The QR codes will be used to read sequence without internet connection. Presence of dots in CGR and color of FCGR block gives in-depth idea about the nucleotides and their pairing. PCA has given overview of their distribution which co-relates with results of phylogenetic tree. The visuals have given an extra information about tyrosinase producing bacteria. These generated visuals will be beneficial for assessment and comparison of bacteria.

Job shop scheduling problem (JSSP) is an NP-hard problem and one of the most intractable combinatorial optimization problems in the manufacturing industry. An optimal solution to JSSP optimizes machine utilization, reduces lead times, improves efficiency of manufacturing system and reduces costs. As the number of jobs & machines increase, the job shop scheduling problems approaches NP-hard difficulty. This paper proposes the job-shop environment in limited computational time by using soft computing technique. In order to efficiently solve the JSSP, a method that the hybrid algorithms i.e. Ant Colony Optimization algorithm (ACO) and Fire Fly Optimization (FFO) is proposed to find a good enough schedule in a reasonable computation time. The proposed approach is applied to a JSSP comprising 5 jobs on 5 machines with random processing time. From the investigational results showed that the hybrid optimization achieves maximum accuracy and minimum completion time compared to individual algorithms. Test results demonstrate that the obtaining well enough schedules is successful in the aspects of solution quality and computational efficiency.

The effect of different levels of inulin (0, 1.5 and 3 %) and probiotic bacteria including Lactobacillus acidophilus and Lactobacillus casei on chemical properties (pH and titratable acidity) and viable count of probiotic strain of sweet cream during 30 days at 15-day intervals at (4°C) were studied. All experiments were carried out in three replications. The results showed that during the refrigerator storage of samples, pH decreased and acidity increased significantly. Addition of inulin caused significant changes in pH, acidity and the viability of probiotic strains. By increasing the level of inulin to 3%, the pH of the cream samples decreased, and the acidity and counts of the probiotics increased significantly, which was more significant in Lactobacillus acidophilus, although the treatment containing Lactobacillus acidophilus had the highest acidity. The probiotic survival evaluation also indicated that inulin treatment at 3% level was the best treatment for increasing the viability of the probiotics in cream. The results showed that the addition of prebiotics, such as inulin, could play an important role in increasing the viability of probiotics. In general, changes in the chemical properties of sweet cream during the refrigerator storage were standard, which could be considered as a synbiotic product and sweet Cream as a dairy product can also be considered as a good carrier for probiotic bacteria. .