Background: Preeclampsia remains a major cause of maternal and perinatal morbidity, particularly in low-resource settings. While biological mechanisms are well documented, less attention has been paid to demographic and obstetric determinants. Understanding these factors is critical for early risk assessment and prevention. This study aimed to compare sociodemographic and obstetric characteristics between preeclamptic and normotensive pregnant women attending a tertiary care hospital in Dhaka, Bangladesh. Methods: A case-control study was conducted at Sir Salimullah Medical College Mitford Hospital from February 2022 to January 2023. One hundred pregnant women were included—50 with preeclampsia and 50 normotensive controls. Data on age, BMI, socioeconomic class, gravidity, gestational age, and family or past medical history of diabetes, hypertension, or preeclampsia were collected using a structured questionnaire. Statistical analyses were performed using SPSS version 24. Independent t-tests and chi-square tests were applied, with significance set at p<0.05. Results: Mean age and BMI did not differ significantly between preeclamptic and normotensive groups (p>0.05). Most preeclamptic women belonged to lower socioeconomic classes (44%) and were primigravida (68%), though these differences were not statistically significant. Family histories of hypertension, diabetes, or preeclampsia showed no association with disease occurrence. Gestational age was comparable across groups. Conclusion: Sociodemographic and obstetric parameters, though more adverse among preeclamptic women, did not show statistically significant differences in this cohort. Nevertheless, the predominance of low socioeconomic status and primigravidity among cases underscores the need for focused antenatal surveillance and health education in vulnerable populations.

This study explores the application of large language models in ideological and political education within college English writing courses, aiming to establish a new teaching model for such courses. Taking Unit 3, “Crime and Justice,” from the textbook University Critical Thinking English Tutorial: Writing 3 as an example, the paper analyzes the implementation pathways of teaching processes facilitated by large language models, integrating ideological and political education elements across the three phases of “pre-class, in-class, and post-class.” It is found that LLM-enabled ideological and political education in English writing courses can expand the scope of college foreign language teaching theory, help cultivate college students’ English writing and critical thinking, and improve their humanistic literacy, sense of national identity, and international perspective.

Background: Small-cell neuroendocrine carcinoma of the prostate (SCPC) is a rare and aggressive malignancy, accounting for less than 2% of prostate cancers. It is typically characterized by low prostate-specific antigen (PSA) levels, rapid progression, and poor response to hormonal therapy. Case Presentation: We report the case of a 71-year-old male with multiple comorbidities, who presented with lower urinary tract symptoms. Imaging revealed a large pelvic mass, extensive lymphadenopathy, and innumerable pulmonary nodules, while PSA was 1.4 ng/ml. Pathology review confirmed small-cell neuroendocrine carcinoma of the prostate (SCPC). The patient underwent systemic chemotherapy with six cycles of carboplatin and etoposide, achieving an eight-month disease-free interval. Surveillance imaging revealed significant locoregional progression with recurrent hydronephrosis, retroperitoneal lymphadenopathy and new liver metastases. Immediate rechallenge with carboplatin and etoposide. Conclusion: This case highlights the aggressive course of small-cell carcinoma of the prostate, characterized by atypical PSA kinetics, early visceral metastasis, and rapid progression despite systemic therapy.

Plant Based Ingredients to make edible inks for 3D food printing might help solve issues about food quality, food nutrition, and sustainability of food. We examine the molecular, functional, & nutritional characteristics of different plant proteins, plant Fibers & Hydrocolloids to determine their potential & their use as food industry. Additionally, we look at the possibilities of plant protein-based edible inks for 3D printing applications, where a material's form or other characteristics might alter over time to allow for precise issue profiles & texture modulations. Because of their superior structure-forming capabilities, and also their functional & nutritious qualities, Wheat gluten, pea protein, Lentil protein & soy proteins are frequently utilized as an ink for the 3D food printing applications. The use of 3D printing technology to create texture & improve probiotic & nutrient encapsulation in plant-based compositions was emphasized. Recent developments in 3D printing have been documented using edible smart materials that have been subjected to air-drying and microwaving processes. It was determined that the market sector for plant-based foods will be disrupted in three ways by 3D printing, Plant based meat, Personalized nutrition & Sustainability. This review addresses the latest developments in plant-based functional ingredients, or non-traditional food sources, that can be used as basis materials for 3D ink formulations & attention to the novel ingredients, their physiological role, and how their inclusion affects the product's rheological, structural, and printing qualities. 3D food printing has shown remarkable results in providing individualized nutrition and customized foods

Abattoir wastewater is a hazardous effluent, which is of high concentration of heavy metals (Cu2+, Fe3+, Pb2+) which are very dangerous to the environment and health. Traditional treatment procedures usually do not identify the high removal efficiencies needed to discharge safety. We synthesized TiO2 /CdS nanocomposite through a hydrothermal process in this study and examined its performance in the adsorption of Cu2+, Fe3+ and Pb2+ ions through synthetic abattoir wastewater in ambient conditions. The material had a high specific surface area (= 130 m2 g -1) and the TiO2 nano-particles were evenly dispersed on a CdS substrate as evidenced by the X -ray diffraction, EDX and BET analysis. The Langmuir model (R2 larger than 0.99) describing the adsorption isotherms was an indication that the monolayer is homogeneous, meaning that it is well-covered, whereas the pseudo-second-order kinetic model (R2 larger than 0.98) demonstrated that chemisorption is the rate-limiting step. The findings confirm TiO2/CdS nanocomposite as a high-potential, reusable adsorbent to effectively extract Cu2+, Fe3+ and Pb2+ in abattoir wastewater, which is an economical alternative to traditional treatment. Moreover, synergistic behavior between narrow bandgap semiconductor CdS and high-surface-area TiO2 high affinity of the composite towards metal ions was also explained. The next step of work will be conducted in the pilot-scale implementation and evaluation of the performance of the composite on the abattoir effluents.

Mosquitoes are important vectors of diseases that pose major public health challenges. This study investigated the prevalence and distribution of Aedes and Culex species within Ajayi Crowther University, Oyo State, Nigeria. Larvae were collected from ten randomly selected sites over a five-month period (November–March). A total of 10,033 mosquitoes were recorded, comprising Culex spp. (5,141; 53.8%) and Aedes spp. (4,892; 46.2%). Statistical analysis showed significant variation across months (p = 0.005) and locations (p = 0.002), while no significant interaction was observed (p = 0.074). The predominance of Culex highlights the risk of diseases such as lymphatic filariasis and West Nile virus, whereas Aedes remains relevant for dengue, yellow fever, and chikungunya transmission. These findings provide baseline data for vector control programs in Atiba Local Government and contribute to understanding mosquito distribution in Oyo State.

The tariff measures launched during Donald Trump’s presidency substantially remodeled global trade patterns, with profound impact for India’s economy. This paper examines the impact of these tariffs on India’s export potential, trade balances, and sectoral growth, particularly in steel, pharmaceuticals, textiles, and agriculture. It also explores cascade effects through supply chain disruptions, shifts in bilateral trade relations, and the strategic reform of India’s trade policy. Using trade statistics, policy analysis, and global market trends, the study appraises both short-term and long-term impressions. The findings provide insights into how protectionisms abroad impact emerging economies like India, designing their economic sustainability and resilience measures.

Background: Vitamin D deficiency is associated with cardiovascular dysregulation and increased blood pressure; however, evidence in pregnant women in South Asia remains limited. This study aimed to evaluate the correlation and regression between maternal serum vitamin D levels and blood pressure components during late pregnancy. Methods: A hospital-based case–control study was conducted at Sir Salimullah Medical College Mitford Hospital, Dhaka, from March 2019 to March 2020, involving 106 pregnant women (53 preeclamptic and 53 normotensive). Serum 25-hydroxyvitamin D [25(OH)D] levels were measured using a chemiluminescence immunoassay and categorized as deficient (≤20 ng/mL), insufficient (21–29 ng/mL), or sufficient (≥30 ng/mL). Blood pressure was recorded according to standard protocols. Correlation and linear regression analyses were performed using SPSS version 23.0, with significance set at p < 0.05. Results: Serum vitamin D levels were inversely correlated with both systolic (r = –0.449, p < 0.001) and diastolic (r = –0.449, p < 0.001) blood pressures. Regression analysis indicated that each 1 ng/mL rise in serum vitamin D corresponded to a decrease of 1.68 and 1.2 mmHg in systolic and diastolic pressure, respectively. Sun exposure duration and antenatal attendance were positively associated with vitamin D sufficiency. Conclusion: Maternal serum vitamin D concentration was inversely associated with systolic and diastolic blood pressures. Maintaining adequate vitamin D levels through sunlight exposure and supplementation may support cardiovascular stability during pregnancy.

The pursuit of excellence in healthcare quality is perpetually challenged by systemic fragmentation, where siloed operations among critical departments like Nursing, Radiology, and Health Administration lead to communication breakdowns, clinical errors, and operational inefficiencies. This comprehensive research paper argues that the strategic and deliberate integration of these three pillars is not merely beneficial but essential for achieving superior, patient-centered care. The analysis begins by deconstructing the inherent weaknesses of the traditional "siloed system," demonstrating how it acts as a fundamental barrier to quality. It then elucidates the unique and complementary roles of each discipline: Nursing as the continuous, holistic clinical bedrock; Radiology as the pivotal diagnostic lens guiding decision-making; and Health Administration as the essential architectural framework that enables synergy through resource allocation, policy, and culture. The paper further explores practical models for "forging the link," including multidisciplinary teams, structured communication protocols, integrated clinical pathways, and interprofessional education. By synthesizing evidence from a wide range of literature, this research concludes that a conscious, system-wide commitment to dissolving interdisciplinary boundaries is the definitive pathway to enhancing patient safety, improving clinical outcomes, boosting patient satisfaction, and achieving operational excellence in the modern healthcare landscape.

This review article analyses the evolution of soft tissue sculpting in implantology, emphasizing the synergy of biological knowledge, biomaterials, and aesthetics to enhance peri-implant health and appearance. Assessing modern methods such as connective tissue grafts, creative flap designs, soft tissue augmentation using autogenous and alternative biomaterials, and digital planning for accurate tissue replication were among the goals. The review shows that immediate implantation with less invasive tissue handling produces the best stability and aesthetics, outlining the impact of surgical timing, digital processes, and emergence profile management. The multidisciplinary nature of contemporary soft tissue sculpting in implant dentistry is ultimately confirmed by the conclusion that tailored, evidence-based approaches incorporating biological principles and material selection are crucial for predictable, aesthetically pleasing, and long-lasting results.

The cost of corrosion-related transmission pipeline maintenance, which escalates as pipeline networks age and deteriorates, costs the oil and gas sector billions of naira every year. As a result, pipeline operators should reconsider their approaches to corrosion control. The present study employed the Monte Carlo Simulation model to forecast the rate of corrosion and dependability of pipelines carrying crude oil. The corrosion rate was predicted using a Linear and Power Law Model and discrete random numbers that were simulated from Inline Inspection Data. The study's conclusion demonstrates that the Monte Carlo simulation can forecast the pipelines' corrosion rate with an accuracy of 84.24–97.94%. From Monte Carlo Simulation results, a 2.01 lowest and 15.76 highest were obtained. Every value is within the range of 1.67% to 16.95%. The predicted number of failures is thus provided by the statistical models. Optimal maintenance decisions, risk analysis, and reliability analysis can all benefit from the statistical models' output.

Every year, the oil and gas sector spends billions of naira on transmission pipeline corrosion costs, which rise as pipeline networks age and deteriorate. As a result, pipeline operators must reconsider their approaches to corrosion prevention. Companies are being forced to create precise maintenance models based on failure frequency because of corrosion problems. Future line safety, lowering the frequency of failures, and cost-effective pipeline operation all depend on statistical techniques for modeling pipeline failures and making appropriate maintenance decisions. The present study predicted both the reliability and corrosion rate of crude oil pipelines by combining Monte Carlo simulation with degradation models. Corrosion was modeled using linear and power-law formulations that incorporated discrete random samples generated from inline inspection data. The degradation models were used to assess the mean time for failure (MTFF). The average corrosion rate (CRav) has a lower root mean square error (RMSE) than the largest occurrence projected random number (CRfreq), according to the TML shown against the RMSE of the predicted models. The RMSE for the degradation models ranged from 1.89 % to 17.02 %. This chart shows that the deterioration models correctly predicted the pipeline corrosion rate to be between 83.91% and 98.06%. Also, the Linear Model Law had the lowest recorded value of 1.98% and the most of 16.11%, while the Power Law degradation was the lowest at 1.88% and the most at 17.01%. When compared to the Monte Carlo Simulation value, which is 2.11 at the lowest and 1.01 at the highest, all of the findings fall between 1.89 and 17.02 percent. Consequently, the RMSE of the degradation models varied between 1.89 and 17.02 percent. Additionally, R2 for the Linear Model ranges from 0.925 to 0.990, but it ranges from 0.989 to 0.999 for the Power Model. According to the results, the degradation model has correctly predicted the field corrosion of the pipelines and will be a crucial tool for predicting when the pipelines will break.

The rise in the discharge of pharmaceutical wastewater in the form of heavy metals Cr6+, Fe3+, and Pb2+ has become an issue of serious concern to the environment and to the general population since these elements are toxic, persistent, and may accumulate in the body. Cr(vi), FE(iii) and Pb(ii) are common toxic contaminants in the Pharma effluents and their quick, effective elimination is paramount in regulation compliance and environmental safety. A simple, scalable synthesis of a bimetallic NiO/CuO nanocomposite was reported in this study through a concurrent coprecipitation-hydrothermal reaction, and then subjected to calcination at 400 0 C. This paper is concerned with synthesis and use of nickel oxide/copper oxide (NiO/CuO) nanocomposites to effectively clean such metal ions that are present in pharmaceutical effluents. NiO/CuO nanocomposite was produced by a slight modification of the sol-gel technique and investigated by X-ray diffraction (XRD), and scanning electron microscopy (SEM) to ascertain the structural, morphological and functional characteristics of the material. The effect of pH, contact time and adsorbent dosage on the adsorption efficiency was studied through batch adsorption. It was found that, at a dosage of 0.8 g, the removal efficiencies increase to 100% for Cr, 96.81% for Fe, and 92.40% for Pb. This demonstrates near-complete removal of Cr and very high removal for Fe and Pb, indicating that the adsorption capacity of the nanocomposite is nearing saturation. Kinetics of the adsorption process was in pseudo-second order and adsorbed monolayers on a homogeneous surface which is pointing to Langmuir isotherm. The regeneration studies indicated the multiple adsorption-desorption cycles of the nanocomposite with its stability and reusability. This report establishes the possibilities of NiO/CuO nanocomposites as a powerful, inexpensive, and ecologically safe adsorbent to treat heavy-metal-contaminated pharmaceutical wastewater to be a part of the sustainability of waste sources and pollution prevention.

This paper synthesizes empirical evidence on the environmental and socioeconomic impacts of petroleum exploration and production in the Niger Delta, Southern Nigeria, focusing on soils, surface and groundwater, and local livelihoods. A review of field-based studies, environmental assessments and community surveys reveals pervasive hydrocarbon contamination (TPH, PAHs), elevated heavy-metal concentrations, and widespread degradation of mangrove and farmland soils. Contaminants migrate into surface waters and shallow aquifers, impairing drinking-water quality and fisheries. Empirical studies also document reduced agricultural yields, loss of fish catches, health complaints, and livelihood erosion—effects compounded by weak monitoring, delayed spill response and chronic seepage from aging pipelines. Remediation efforts (engineered excavation, bioremediation, phytoremediation) show variable success; cost, ecological sensitivity (mangroves) and governance deficits limit large-scale recovery. The synthesis concludes that meaningful restoration requires coordinated long-term remediation, rigorous monitoring, community engagement and strengthened regulatory enforcement. Priority actions include hotspot remediation, alternative livelihood support, and establishing transparent contaminant and health-monitoring systems.

This study examined how petroleum products (petrol, kerosene, and diesel) affect the strength of concrete made with lateritic sand and quarry dust. A 1:1½:3 mix with a 0.65 water–cement ratio and 25% lateritic sand plus 75% quarry dust was used. Thirty-nine 100 mm cubes were water-cured for 7–28 days, then immersed in petroleum products for 30–60 days. Water-cured cubes showed steady strength gains up to 15.74 N/mm² at 28 days. In contrast, exposure to petroleum products reduced strength: after 30 days, averages were 12.89 N/mm² (petrol), 11.36 N/mm² (kerosene), and 13.30 N/mm² (diesel); after 45 days, 12.78, 14.19, and 13.53 N/mm² respectively. Petrol caused the greatest deterioration, kerosene moderate, and diesel the least. Petroleum exposure disrupted cement hydration, increased porosity, and weakened the paste–aggregate bond, reducing durability. The study recommends protective coatings, improved mix designs, and strict management in fuel-contaminated environments such as filling stations and garages.